Stata 连享会2018.11现场班：内生性专题课程介绍

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Source: Archive of user-written Stata packages

导言

这里汇集了截至 2015年1月1日 为止的所有 Stata 外部命令，可以在线查看每个外部命令的帮助文件。

• 由于 CSDN 有文章长度的限制，未能显示所有 外部命令。这里存放了所有外部命令
• 对于感兴趣的命令，可以使用 findit 在 Stata 命令窗口中搜索后下载，亦可直接使用 ssc install 命令直接下载。
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Stata 连享会2018.11现场班：内生性专题课程介绍

List of Stata packages

• a2reg    Module to estimate models with two fixed effects
• aaplot    Module for scatter plot with linear and/or quadratic fit, automatically annotated
• abar    Module to perform Arellano-Bond test for autocorrelation
• abg    Module to implement the Alpha-Beta-Gamma Method of Distributional Analysis
• aboutreg    Module providing tutorial on regression diagnostics
• acplot    Module to plot the autocorrelogram
• actest    Module to perform Cumby-Huizinga general test for autocorrelation in time series
• addinby    Module to add in data from a disk dataset using a foreign key
• addnotes    Module to add notes to the end of text files
• addplot    Module to add twoway plot objects to an existing twoway graph
• addtex    Module to display text on a graph
• addtxt    Module to add text to graphs
• adecomp    Module to estimate Shapley Decomposition by Components of a Welfare Measure
• adjacent    Module to list adjacent values of variables
• adjksm    Module to perform adjusted “ksm” for robust scatterplot smoothing
• adjmean    Module to calculate variables’ means adjusted for covariates
• adjprop    Module to calculate adjusted probabilities from logistic regression estimates
• adjust    Module (corrected) to compute adjusted predictions and probabilities after estimation
• adodev    Module to reorder ado-path for developers and other independent-minded users
• adoedit    Module to edit ado file in Stata’s do-file editor
• adolist    Module to manage lists of ado packages
• adotype    Module to type ado file
• affiliationexposure    Module to compute an affiliation exposure model using two-mode actor(row)-by-event(column) network data
• agrm    Module to calculate van der Eijk’s measure of agreement “A”
• ainequal    Module to compute measures of inequality
• airnet    Module to create networks from airline traffic data
• akdensity    Module to perform adaptive kernel density estimation
• alignedpairs    Module to perform the aligned ranks test for matched pairs (Hodges-Lehmann)
• alignedranks    Module to perform a two-sample aligned rank-sum (Hodges-Lehmann) test with exact statistics for small samples
• alignedsets    Module to perform aligned ranks test for matched sets (Hodges-Lehmann)
• alignmicro    Module to perform alignment in microsimulation
• allcross    Modules to create variables corresponding to moment matrices
• allpossible    Module to fit all possible models with subsets of predictors
• allsubsets    Module to perform all subsets (combinatorial) meta-analysis in a set of studies
• alorenz    Module to produce Pen’s Parade, Lorenz and Generalised Lorenz curve
• alphawgt    Module to compute Cronbach’s alpha for weighted data
• alsmle    Module to perform Beach-Mackinnon AR(1) Autoregressive Maximum Likelihood Estimation
• amcmc    Module to provide Mata functions and structures for adaptive Markov chain Monte Carlo sampling
• anketest    Module to perform diagnostic tests for spatial autocorrelation in the residuals of OLS, SAR, IV, and IV-SAR models
• anogi    Module to generate Analysis of Gini
• anovaplot    Module for plots of anova fit, including interaction plots
• anymatch    Module to perform distance matching based on any metric
• apc    Module for estimating age-period-cohort effects
• apcd    Module for estimating age-period-cohort effects with detrended coefficients
• apch    Module for estimating age-period-cohort and hysteresis effects
• apoverty    Module to compute poverty measures
• appendfile    Module to append text files
• archlm    Module to calculate LM test for ARCH effects
• archqq    Module to generate Q-Q plot and distribution tests for ARCH models
• arimafit    Module to calculate AIC, SIC for ARIMA model
• armadiag    Module to compute post-estimation residual diagnostics for time series
• armaroots    Module to compute roots of AR- and MA-polynomials
• array package to support arrays of variables
• arrowplot    Module to produce combined plot for graphing inter-group and intra-group trends
• ascii    Module to display the ASCII character set
• asciiplot    Module to graph ASCII character set in current graph font
• ashell    Module to capture output from OS shell command
• asl_norm    Module computing bootstrap Gaussianity tests
• assertky    Module to assert unique dataset keys
• autofmt    Module to automatically format a significant number of digits
• autolog    Module to generate dialog to create log files
• autorename    Module to automatically rename variables
• avar module to perform asymptotic covariance estimation for iid and non-iid data robust to heteroskedasticity, autocorrelation… clustering… cross-panel
• avg_effect    Module to calculate mean (standardized) effect size across multiple outcomes
• avplot2    Modules for added variable plots
• avplot3    Module to generate partial regression plots for subsamples
• avplots4    Module to graph added-variable plots for specified regressors in a single image
• b1x2    Module to account for changes when X2 is added to a base model with X1
• backrasch    Module to implement a backward procedure with a Rasch model
• backup    Module to make daily backup of important files (Windows only)
• bandplot    Module to plot summary statistics of responses for bands of predictors
• baplot    Module to produce Bland-Altman plots
• barplot    Module to plot varlist against xvar
• barplot2    Module to produce bar plot with optional error bars
• batplot    Module to produce Bland-Altman plots accounting for trend
• bayerhanck    Module to compute test for non-cointegration
• bayesmixedlogit    Module to perform Bayesian estimation of mixed logit models
• bayesmlogit    Module to perform Bayesian estimation of mixed logit models
• bcii    Module to to estimate the number needed to treat (NNT) and confidence intervals for patients improving, or benefiting (either improvements gained or deteriorations prevented), in a rando
• bcuse    Module to access instructional datasets on Boston College server
• beamplot    Module to draw horizontal dotplots using beams
• benford    Module to test Benford’s Law on a variable
• betacoef    Module to calculate beta coefficients from regression
• betafit    Module to fit a two-parameter beta distribution
• betaprior    Module to calculate the parameters of a Beta distribution given the mean and variance
• bgtest    Module to calculate Breusch-Godfrey test for serial correlation
• bic    Module to evaluate the statistical significance of variables in a model
• bicdrop1    Module to estimate the probability a model is more likely without each explanatory variable
• bidensity    Module to produce and graph bivariate density estimates
• bihist    Module to produce bihistograms
• binscatter    Module to generate binned scatterplots
• bioprobit    Module for bivariate ordered probit regression
• biplot    Module to generate biplots
• biplotvlab    Module to produce biplot with variable labels
• birthsim    Module to simulate completed fertility and birth intervals
• bitobit    Module to perform bivariate Tobit regression
• bking    Module to implement Baxter-King filter for timeseries data
• bkrosenblatt    Module for Blum, Kiefer and Rosenblatt test of bivariate independence
• blinding    Module to compute blinding indexes
• blist    Module to list values of variables in as small a space as possible
• blogit2    Module to produce grouped data logit with support for in
• blp    Module to estimate Berry Levinsohn Pakes random coefficients logit estimator
• bme    Module to compute Bounded midpoint estimator
• bmjcip    Module to format confidence intervals and P-values for medical journals
• bnormpdf    Module to calculate the bivariate normal density
• boxpanel    Module to produce box plots for panel data
• boxtid    Module to fit Box-Tidwell and exponential regression models
• bpagan    Module to perform Breusch-Pagan test for heteroskedasticity
• bpass    Module to compute band pass filter for time series data
• bpmedian    Module to compute Bonett-Price confidence intervals for medians and their contrasts
• bronch    Module to describe bronchiolitis severity
• bsens    Module to compute Sensitivity metric using McNemar’s test
• bsopm    Module to compute Black-Scholes European Option Pricing Model
• bspline    Modules to compute B-splines parameterized by their values at reference points
• bstrap    Module providing tutorial for bootstrap
• btobit    Module to produce a test of the tobit specification
• buckley    Module to implement Buckley-James method for analysing censored data
• bugsdat    Module to convert a Stata datafile into the S-plus format used in Winbugs
• bugwrite    Module to write data from Stata into a format compatible with WinBUGS
• butterworth    Module to implement Butterworth square-wave highpass filter for timeseries data
• bygap    Module to produce interlaced histograms
• byhist    Module to produce interlaced histograms
• bynote    Module to Create a note with a user-specified format for use with the by option
• bys    Module to automatically sort on the bylist (version 5)
• bystore    Module to repeat estimation commands and store estimates
• byvar    Module to repeat a command by variable
• cal    Module to generate calendar
• calibest    Module to estimate proportions and means after survey data have been calibrated to population totals
• calibrate    Module to calibrate survey datasets to population totals
• callsado    Module to find (user-written) ado-files called by (a)do-file
• canon    Module (corrected) to compute canonical correlations
• capass    Module to wrap Stata’s assert command, throws error messages
• carryforward    Module to carry forward previous observations
• cart    Module to perform Classification And Regression Tree analysis
• casefat    Module for estimating the case fatality ratio of a new infectious disease
• catdev    Modules for interpretation of categorical dependent variable models
• catenate    Module to concatenate variables into string variable
• catgraph    Module to plotting means of a variable by category
• catplot    Module for plots of frequencies, fractions or percents of categorical data
• cb2html    Module to write a codebook to an HTML file
• cbarplot    Module for centred bar plots of absolute or relative frequencies
• ccmatch    Module to match cases and controls using specified variables
• ccmpre    Module to compute PRE Measures for Cultural Consensus Models
• cctable    Module to calculate summary table for case-control study
• ccweight    Module to generate inverse sampling probability weights
• cddens    Module to estimate a Density under Measurement Error using Auxiliary Information
• cdfplot    Module to plot a cumulative distribution function
• cdout    Module to display the current working directory
• cdreg    Module to estimate Linear Regression under Measurement Error using Auxiliary Information
• cem    Module to perform Coarsened Exact Matching
• cenpois    Module to estimate censored maximum likelihood Poisson regression models
• censornb    Module to estimate censored negative binomial regression as survival model
• centcalc    Module to calculate distribution-based centiles
• center    Module to center (or standardize) variables
• centpow    Module to calculate centrality and power indices for each node in a network
• centroid    Module to calculate centroids
• cepois    Module to estimate censored maximum likelihood Poisson regression models
• ceq    Module to carry out Commitment to Equity (CEQ) fiscal incidence analysis
• cf2    Module to compare two datasets
• cf3    Module to compare two datasets
• cfby    Module to compare datasets and produce discrepancy rates
• cfitzrw    Module to implement Christiano-Fitzgerald Random Walk band pass filter for timeseries data
• cflpois    Module to calculate confidence limits for rates based on Poisson outcome
• cfout    Module to compare two datasets, saving a list of differences
• cfvars    Module to compare variable name lists in two data sets
• cgroup    Module to group contiguous observations with identical values of a varlist
• chaid    Module to conduct chi-square automated interaction detection
• chaidforest    Module to conduct random forest ensemble classification based on chi-square automated interaction detection (CHAID) as base learner
• changemean    Module to compute Income and Inequality Contribution on Poverty Variation
• chaos    Module to iterate a logistic difference equation
• chardef    Module to assign values to a characteristic of a list of variables
• charlist    Module to list characters present in string variable
• charlson    Module to calculate Charlson index of comorbidity
• charutil    Module of utilities for working with characteristics
• checkfor2    Module to check whether a variable exists or not in a dataset
• checkreg3    Module to check identification status of simultaneous equations system
• checkrob    Module to perform robustness check of alternative specifications
• checkvar    Module to check the values of a created variable
• chewfile    Module to chew and digest ASCII file down to size
• china_map    Module to provide map of China’s provinces
• china_spatdwm    Module to provide spatial distance matrices for Chinese provinces and cities
• chinafin    Module to retrieve Chinese listed firms’ financial data
• chiplot    Module to produce graphical assessment plot for dependence
• chm    Module to copy hard missings
• chowreg    Module to compute Structural Change Regressions and Chow Test
• chunky    Module to chunk a large text file into smaller parts
• chunky8    Module to chunk a large text file into smaller parts (version 8)
• ci2    Module to compute confidence intervals for correlations
• ci_marg_mu    Module to produce simulation-based confidence intervals after gllapred
• cibar    Module to plot bar graphs and confidence intervals over groups
• cibplot    Module for bar-on-bar plots of confidence intervals
• cid    Module to calculate confidence intervals for means or differences
• ciform    Module to format confidence interval for tables in documents
• cihplot    Module to show horizontally labelled plots showing confidence intervals
• cij    Module for binomial confidence intervals for proportions using Jeffreys prior
• ciplot    Module for plots of confidence intervals
• cipolate    Module for cubic interpolation
• circstat    Modules to calculate circular statistics
• circular    Module for circular statistics
• cisd    Module to compute confidence intervals for standard deviations
• cistat    Module to produce confidence intervals in matrix form
• civplot    Module to plot confidence intervals vertically
• ciw    Module for binomial confidence intervals for proportions using Wilson scores
• ckvar    Module to allow error checking routines to easily be defined and attached directly to variables
• classplot    Module to plot predicted probability and empirical values after a binary response model
• cleanchars    Module to replace specific characters or strings in variable names and/or variable labels and/or string variable values and/or value label names and levels with stated characters/strings
• cleanlog    Module to clean log files
• clemao_io    Module to perform unit root tests with one or two structural breaks
• clogithet    Module to estimate heteroscedastic conditional logit model
• clorenz    Module to estimate Lorenz and concentration curves
• clrbound    Module to perform estimation and inference on intersection bounds
• clstop_lbt    Module to add stopping rule in cluster analysis
• cltest    Modules for performing cluster-adjusted chi-square and t-tests
• clump    Module to compute permutation test approach to assessing genetic associations with case/control status
• cluster    Module to perform nonhierarchical k-means (or k-medoids) cluster analysis
• clustpop    Module to estimate population cluster group assignments
• clustsens    Module to perform sensitivity analysis for cluster commands
• clv    Module to implement a clustering of variables around latent components
• cm2in    Module to provide conversion between inch/cm and others
• cmaxuse    Module to access Cmax instructional datasets
• cme    Module to estimate generalized linear models with covariate measurement error
• cmogram    Module to plot histogram-style conditional mean or median graphs
• cmp    Module to implement conditional (recursive) mixed process estimator
• cnbreg    Module to estimate negative binomial regression - canonical parameterization
• cndnmb3    Module to calculate condition number of regressor matrix
• cnormp    Module to evaluate censored normal distribution
• cns    Module to compute Consensus Measure for Ordinal Scales
• cnsrsig    Module to evaluate validity of restrictions on a regression
• cntrade    Module to retrieve Chinese stock market quotations from NetEase
• cochran    Module to test for equality of proportions in matched samples (Cochran’s Q)
• codci    Module to calculate Bonett-Seier’s Confidence Interval for the COD
• codebook2    Module to produce a codebook describing a data file
• codebookout    Module to save codebook in MS excel format
• coefplot    Module to plot regression coefficients and other results
• cohend    Module to compute Cohen’s d
• coldiag    Module to perform BWK regression collinearity diagnostics
• coldiag2    Module to evaluate collinearity in linear regression
• colelms    Module to calculate Cole’s LMS values for growth data
• collapse2    Module to extend the collapse command
• collapseunique    Module to reduce data to unique observations based on specified key variables
• combine    Module to combine n, mean, and SD from two groups according to the Cochrane-recommended formula for meta-analyses
• combineplot    Module to combine similar univariate or bivariate plots for different variables
• combomarginsplot    Module to combine the saved results from multiple calls to margins into one marginsplot
• complogit    Module to compare logit coefficients across groups
• concindc    Module to calculate concentration index with both individual and grouped data
• concindex    Module to calculate measures of the concentration index
• concord    Module for concordance correlation
• conddens    Module to estimate a conditional density to correct for measurement error and missing values
• confa    Module to perform confirmatory factor analysis modeling
• confall    Module to plot and display estimates to assess confounding
• confirmdir    Module to confirm if a directory exists
• confnd    Module to plot and display estimates to assess confounding
• confsvy    Module to assess confounding effects in survey studies
• contour    Module to draw contour plots
• contrast    Module to calculate contrasts between factor levels
• convert_top_lines    Module to handle leading lines of text file
• copycode    Module to produce modular self-written ado files
• copydesc    Module to copy description of variable
• coranal    Module to perform simple correspondence analysis
• corr_svy    Module to compute correlation tables for survey data
• corrtab    Module to display correlation coefficients in a formatted tabular output
• corrtable    Module to show correlation matrix as graphical table
• corrtex    Module to generate correlation tables formatted in LaTeX
• corsp    Module to display combined Pearson and Spearman correlation matrix
• cortesti    Module to test equality of two correlation coefficients
• couliari    Module to implement Corbae-Ouliaris frequency domain filter to time series data
• countmatch    Module to count matching values for one variable in another
• cpcorr    Module for correlations for each row vs each column variable
• cpigen    Module to add US CPI series to current dataset
• cpoisson    Module to estimate censored Poisson regression
• cpoissone    Module to estimate censored Poisson regression (econometric parameterization)
• cpr    Module producing results for all possible combinations of arguments
• cprplot2    Module to graph component-plus-residual plots for transformed regressors
• cprplots    Module to graph (augmented) component-plus-residual plots in a single image
• cpyxplot    Module to produce scatter plots for each y vs each x variable
• cqiv    Module to perform censored quantile instrumental variables regression
• cquad    Module to perform conditional maximum likelihood estimation of quadratic exponential models
• cquantile    Module to generate corresponding quantiles
• crater    Module to calculate computer scorer vs. human rater agreement statistics
• creplace    Module to exchange values cyclically between variables
• crm    Module to implement the continual reassessment model
• crossfold    Module to perform k-fold cross-validation
• crossplot    Module for scatter (or other twoway) plots for each y vs each x variable
• crtest    Module to perform Cramer-Ridder Test for pooling states in a Multinomial logit
• csipolate    Module to perform cubic spline interpolation
• csjl    Module to extend cs command for exposures with more than two categories
• cstable    Module to calculate summary table for cohort study
• csti    Module that modifies csi command in order to use total numbers rather than individual cell counts
• csvconvert    Module to append multiple csv files
• ctabstat    Module to display table of summary statistics
• ctreatreg    Module for estimating dose-response models under exogenous and endogenous treatment
• cuentacot    Module for Contributions Counting
• cureregr    Module to estimate parametric cure regression
• cureregr8    Module to estimate parametric cure regression (version 8.2)
• curvefit    Module to produces curve estimation regression statistics and related plots between two variables for alternative curve estimation regression models
• cusum6    Module to compute cusum, cusum^2 stability tests
• cutpt    Module for empirical estimation of cutpoint for a diagnostic test
• cv    Module to compute coefficient of variation after regress
• cvxhull    Module to compute and plot convex hulls of bivariate data
• cycleplot    Module for cycle plot (month plot or seasonal subseries plot)
• d3network    Module to create network visualizations using D3.js to view in browser
• dagfit    Module to fit a Generalized Beta (Type 2) distribution to grouped data via ML
• dagumfit    Module to fit a Dagum distribution by maximum likelihood
• dash    Module to score Disabilities of the Arm, Shoulder and Hand
• dashgph    Module to construct dashed lines in scatterplots
• dashln    Module to add dashed lines to graphs
• datacheck    Module to perform data checks and produce informative output
• dataframe    Module to store/restore multiple Stata datasets to/from memory
• dataout    Module to export a dataset or tab-delimited file into various formats
• dataplink    Module to import data from plink
• datelist    Module to to create ascending numeric lists of dates
• datesum    Module to display summary statistics for date variables
• datmat    Module to multiply variables via matrix multiplication
• dbmscopybatch    Module to produce a batch file for DBMS/Copy
• ddf2dct    Module to facilitate infiling US Government data distributed with a DDF
• deci    Module to perform Variable Base conversion
• decomp    Module to compute decompositions of earnings gaps
• decompose    Module to compute decompositions of wage differentials
• delta    Module to compute the Delta index of scale discrimination
• denton    Module to interpolate a flow or stock series from low-frequency totals via proportional Denton method
• dep4asm    Module to create [in]dependent variable for alternative-specific models
• des2    Module to describe current dataset with clickable output
• descogini    Module to perform Gini decomposition by income source
• descsave    Module to export data set and machine-readable codebook
• designplot    Module to produce a graphical summary of response given one or more factors
• desmat    Module to generate interactions and contrasts
• detect    Module to compute the DETECT, Iss and R indexes to test a partition of items
• devcon    Module to apply the deviation contrast transform to estimation results
• devnplot    Module for deviation plots
• devr2    Module to compute Cameron and Windmeijer’s deviance based R-squared measure
• dfao    Module to perform Dickey-Fuller unit root test in the presence of additive outliers
• dfgls    Module to compute Dickey-Fuller/GLS unit root test
• dfl    Module to estimate DiNardo, Fortin and Lemieux Counterfactual Kernel Density
• dfsummary    Module to compute the (Augmented) Dickey-Fuller unit-root test and reports a summary table for different lags
• dftol    Module to compute distribution-free tolerance intervals
• diagreg    Module to compute Model Selection Diagnostic Criteria
• diagreg2    Module to compute 2SLS-IV ModeL Selection Diagnostic Criteria
• diagt    Module to report summary statistics for diagnostic tests compared to true disease status
• diagtest    Module to report summary statistics for diagnostic test
• difd    Module to evaluate test items for differential item functioning (DIF)
• diff    Module to perform Differences in Differences estimation
• diffpi    Module to calculate difference expressed as a percentage
• difwithpar    Module for detection of and adjustment for differential item functioning (DIF)
• digdis    Module to analyze the distribution of digits
• digits    Module to examine digit preferences in numeric variables
• diplot    Module to draw double interval plot
• diptest    Module to compute dip statistic to test for unimodality
• dirifit    Module to fit a Dirichlet distribution
• dirlist    Module to retrieve directory information
• dirtools    Modules to manage files in the working directory
• discrepancy    Module to implement a pseudo-ANOVA method for partitions of pairwise distance matrices
• disjoint    Module to generate end variable demarcating disjoint spells
• dissim    Module to calculate dissimilarity index
• distan    Module to generate similarity measures
• distinct    Module to display distinct values of variables
• distmatch    Module to perform distance matching based on latitudes and longitudes
• distplot    Module to generate distribution function plot
• distrate    Module to compute direct standardized rates with improved confidence interval
• dlist    Module to list with variable labels
• dlogit2    Modules to compute marginal effects for logit, probit, and mlogit
• dmariano    Module to calculate Diebold-Mariano comparison of forecast accuracy
• dmerge    Module to merge datasets using a modification of Stata’s merge
• dmexogxt    Module to test consistency of OLS vs XT-IV estimates
• dmout    Module to create difference-in-means tables
• dolog    Modules to execute commands from a file with logging
• dologx    Modules to execute commands from a file with logging
• domdiag    Module to construct dominance diagrams
• domin    Module to conduct dominance analysis
• doparser    Module to look for dta-files used in do-files
• doseresponse    Module to estimate dose-response function through adjustment for the generalized propensity score
• doseresponse2    Module to estimate generalized propensity score
• dotemplate    Module to creates templates for do-files
• dotex    Module to generate TeX log from do-file
• doub2flt    Module to change storage type of real variable
• doubleb    Module to compute Contingent Valuation using Double-Bounded Dichotomous Choice
• doubletofloat    Module to recast variables from double to float storage type
• doubmass    Module to draw double mass plot
• dpplot    Module for density probability plots
• dpredict    Module to produce dynamic forecasts for ARIMA(p,s,q) models
• dqd    Module to compute treatment effects under alternative Parallel-q assumptions
• drarea    Module to overlap two range area plots
• drdecomp    Module to estimate Shapley value of growth and distribution components of changes in poverty indicators
• ds2 v6   Module to describe variables in memory
• ds3    Module to describe variables in memory
• ds5    Module to describe variables in memory
• dsconcat    Module to concatenate a list of Stata data files into memory
• dsearch    Module to find variables with given variable label
• dseg    Module to compute decomposable multigroup segregation indexes
• dsginideco    Module to compute decomposition of inequality change into pro-poor growth and mobility components
• dsweight    Module to generate direct standardization weights
• dta2ddi    Module to convert Stata data to DDI standards
• dta2html    Module to generate HTML code to display a Stata dataset on the web
• dta2kml    Module to output a KML file from selected datapoints in a Stata dataset
• dta2sav    Module to export in SPSS format
• dthaz    Module to compute discrete-time hazard and survival probability estimates
• dtobit2    Module to estimate a tobit model with marginal effects at observed censoring rate
• dummies function to create families of dummy variables
• dummies2    Module to create indicator variables from categorical variable and vice versa
• dummieslab    Module to convert categorical variable to dummy variables using label names
• duncan    Module to calculate dissimilarity index
• dups    Module to identify and optionally remove duplicate observations
• durbinh    Module to calculate Durbin’s h test for serial correlation
• dyads    Module to transform observations into dyads
• eaalogit    Module to estimate endogenous attribute attendance models
• eba    Module to perform extreme bound analysis
• ebalance    Module to perform Entropy reweighting to create balanced samples
• ebrowse    Module to to display variables in the Data Editor, ordered by varlist
• eclpci    Module to compute Exact and Approximate Confidence Limits for Poisson Counts
• eclplot    Module to generate estimates and confidence limits plots
• eaalogit    Module to estimate endogenous attribute attendance models
• efetch_tools    Module to retrieve genetic data from NCBI
• effcon    Module to calculate confidence limits for effect size estimated from one or two samples from normal distribution
• effects    Module to provide a graphical interface for estimation commands
• egen_inequal    Module providing extensions to generate inequality and poverty measures
• egenmore    Modules to extend the generate function
• egfr    Module to calculate estimated glomerular filtration rate (eGFR)
• egranger    Module to perform Engle-Granger cointegration tests and 2-step ECM estimation
• eitc    Module to compute U.S. Earned Income Tax Credit receipts
• elapse    Module to calculate elapsed time in procedure
• electool    Module containing toolkit to analyze electoral data
• elife    Module to model annual increments of life expectancy
• ellip    Module to graph confidence ellipses (version 8)
• ellip6    Module to plot confidence ellipses (version 6)
• ellip7    Module to plot confidence ellipses (version 7)
• ellipticity    Module to compute optimal rank-based multivariate tests of elliptical symmetry and sphericity
• email    Module to send emails from Stata via Python
• emailme    Module to facilitate sending mail on Windows systems
• emh    Module to compute extended Mantel-Haenszel statistics
• enlarge    Module to propagate constant values through group
• eofplot    Module to plot coefficients or loadings after principal component or factor analysis
• eperiod    Module to calculate elapsed time between dates
• epiconf    Module to assess confounding effects in epidemiological studies
• epidata    Module Data entry system for use with Stata, SPSS, SAS, Excel, text formats
• episens    Module for basic sensitivity analysis of epidemiological results
• episensrri    Module for basic sensitivity analysis for unmeasured confounders
• epiweek    Module to create epidemiological week and equivalent epidemiological year
• epsigr    Module to save graph in EPSF format in UNIX environment
• eqprhistogram    Module for equal probability histogram
• equation    Module to Output The Equation of a Regression
• er    Module to compute Esteban and Ray measure of polarization
• erate    Module to import up-to-date exchange rates for any currency pairs
• erepost    Module to repost the estimation results
• eret2    Module to save results in e()
• esli    Module to calculate the equation of a straight line
• est2tex    Module to create LaTeX tables from estimation results
• estout    Module to make regression tables
• estout1    Module to export estimation results from estimates table
• estparm    Module to save results from a parmest resultsset and test equality
• estrat    Module to perform Endogenous Stratification for Randomized Experiments
• estsave    Module to save estimation results with current dataset
• estwrite    Module to store estimation results on disk
• etime    Module to time how long a program runs
• eventstudy    Module to perform event studies in finance
• evhistplot    Module to produce event history plot
• ewma    Module to calculate exponentially weighted moving average
• ewreg    Module to estimate errors-in-variable model with mismeasured regressor
• examples    Module to show examples from on-line help files
• excelcol    Module to convert a column index into a name of an Excel column
• excelsave    Module to provide a convenient way to export matched Stata datasets from a specified input directory (also including, if wanted, additionally recursively matched subsets of files within d
• expandby    Module to duplicate observations by variable
• expgen    Module to duplicate observations sorted in original order with generated variables
• expl    Module to explore folders and files
• explist    Module to generate an exponentially-spaced list of numbers
• extfunnel    Module to produce graphical augmentations to the funnel plot to indicate the potential impact of a new study on an existing meta-analysis
• extremes    Module to list extreme values of a variable
• faam    Module to score Foot and Ankle Ability Measure
• factext    Module to extract factor values from a label variable created by parmest
• factmerg    Module to merge a list of factors to create string variables
• factortest    Module to perform tests for appropriateness of factor analysis
• factref    Module to insert new observations with reference values for factors
• fagan    Module for Fagan’s Bayesian nomoigram
• fairlie    Module to generate nonlinear decomposition of binary outcome differentials
• far5    Module to compute floating absolute risk for Cox and conditional logit regression
• fastcd    Module to automate changing directories
• fastcollapse    Module to make dataset of summary statistics using fast hash-based algorithm
• fastgini    Module to calculate Gini coefficient with jackknife standard errors
• fastsample    Module to quickly draw random sample
• fastxtile    Module to generate a variable of quantile categories
• favplots    Module for formatted added-variable plot(s)
• fbar    Module to produce bar charts showing frequencies of categorical variables
• fdfilter    Module to implement Corbae-Ouliaris frequency domain filter to time series data
• fdta    Module to change contents of string variables
• fedit    Module to find and edit text file from within Stata
• feldti    Module to compare two independent coefficients of reliability
• fese    Module to calculate standard errors for fixed effects
• fgtest    Module to Compute Farrar-Glauber Multicollinearity Chi2, F, t Tests
• fieller    Module to calculate confidence intervals of quotients of normal variates
• filei    Module to write lines to end or beginning of text files
• filelist    Module to recursively search directories for files
• filtertrace    Module to trace filter or contingency questions
• find    Module to find matching strings across files in the current directory
• finddup    Module to find non-unique values or observations>
• findname    Module to list variables matching name patterns or other properties
• findval    Module to find a specific value
• firstdigit    Module to analyse first digits of numeric variables
• firthlogit    Module to calculate bias reduction in logistic regression
• fiskfit    Module to fit a Fisk distribution by ML to unit record data
• fitint    Module to fit generalized linear model and test two-way interactions
• fitmacro    Module to evaluate fit of loglinear GLM Poisson models
• fitstat    Module to compute fit statistics for single equation regression models
• fitstat_ers    Module to compute goodness of fit statistics for Rasch model
• fixsort    Module to sort variables and align in sorted order, with others fixed
• flex    Module for flexible pseudo maximum likelihood estimation of models for doubly-bounded data
• floattolong    Module to recast variables from float to long storage type
• flower    Module to draw sunflower plots
• fmiss    Module to identify variables with problematic missing values
• fmlogit    Module fitting a fractional multinomial logit model by quasi maximum likelihood
• fmm    Module to estimate finite mixture models
• fmmlc    Module for postestimation with finite mixture models
• fndmtch    Module to find matching values
• fndmtch2    Module to find matching values for one variable in another
• fodstr    Modules to handle fractional day calculations
• for211    Modules to document features of for and extend the for command
• forfile    Module to execute command for each matching file
• fprank    Module to compute Two-Sample Fligner-Policello Robust Rank Order Test
• fpref    Module to add prefix or suffix to filenames
• fracdiff    Module to generate fractionally-differenced timeseries
• fracdydx    Module to evaluate derivatives of fractional polynomials
• fracirf    Module to compute impulse response function for fractionally-integrated timeseries
• fraclogit    Module to estimate fractional logit model
• fractal    Module to generate fractals
• fractileplot    Module for smoothing with respect to distribution function predictors
• frcount    Module to estimate fractional response model under the presence of count endogeneity and unobservable heterogeneity
• fre    Module to display one-way frequency table
• freduse    Module to Import FRED (Federal Reserve Economic Database) data
• fren    Module to batch rename files (Windows only)
• freplace    Module to batch convert ASCII text or binary patterns in files
• frm    Module to estimate and test fractional regression models
• frontier_teci    Module to generate technical efficiency confidence intervals
• frontierhtail    Module to estimate stochastic production frontier models for heavy tail data
• fs    Module to show names of files in compact form
• fsum    Module to generate and format summary statistics
• fsx    Module to show names of files in compact form (Unix-friendly defaults)
• ftest    Module comparing two nested models using an F-test
• ftocci    Module to back calculate the conventional confidence intervals from the floated confidence intervals
• ftrans    Module to batch convert file formats
• ftree    Module to save directory information in text file (Windows only)
• full_palette    Module to display color palette
• fulltab    Module to generate ‘full tables’ which can be stacked into matrices
• funnelcompar    Module to perform funnel plot for institutional comparison
• fvfix    Module to compute the future value of a series of equal payments (cash flows)
• fview    Module to find and view a file
• fvprevar    Module to extend fvrevar generating permanent result variables
• fvregen    Module to regenerate factor variables in a parmest output dataset
• fvvar    Module to compute the future value of a series of payments (cash flows)
• gam    Module for generalised additive models
• gamet    Module to perform game-theoretic calculations
• gammafit    Module to fit a two-parameter gamma distribution
• gammasym    Module to compute the value of the symmetrical gamma function
• gausshermite    Module to estimate integrals using Gauss Hermite quadratures
• gb2fit    Module to fit Generalized Beta of the Second Kind distribution by maximum likelihood
• gb2lfit    Module to fit Generalized Beta of the Second Kind distribution by maximum likelihood (log parameter metric)
• gbgfit    Module to fit a Generalized Beta (Type 2) distribution to grouped data via ML
• gby    Module to subset graphs and calculate in the same output
• gcause    Module to perform Granger causality tests
• gconc    Module to compute generalized measures of concentration
• gdecomp    Module to compute decomposition of outcome differentials after nonlinear models
• gdsum    Module to summarize grouped data
• geekel2d    Module to estimate the parameters of unidimensional and bidimensional IRT models
• geivars    Module to calculate Generalized Entropy inequality indices
• gen_tail    Module to work with indicator observations
• genass    Module to perform Genetic Case-control Association tests
• geneigen    Module to calculate eigenvalues of a real general matrix
• genfreq    Module to produce a frequency distribution for a variable
• gengroup    Module to produce groups of individuals
• genhwcci    Module to calculate Hardy-Weinberg equilibrium test in case-control studies
• genicv    Module to generate interaction between continuous (or dummy) variables
• genscore    Module to generate a score
• genspec    Module to implement a General-to-Specific modelling algorithm
• gentrun    Module to generate truncated normal variate
• genvars    Module to generate covariate patterns
• geochart    Module to create interactive map web pages from Stata data
• geocode    Module to geocode data
• geocode3    Module to retrieve coordinates or addresses from Google Geocoding API Version 3
• geocodeopen    Module to geocode addresses using MapQuest Open Geocoding Services and Open Street Maps
• geodist    Module to compute geodetic distances
• geonear    Module to find nearest neighbors using geodetic distances
• getfilename2 program for handling filename specifications
• gets    Module to implement a General-to-Specific modelling algorithm
• gevfit    Module to   Module to fit a generalized extreme value distribution by maximum likelihood
• gformula    Module to implement the g-computation formula for estimating causal effects in the presence of time-varying confounding or mediation
• ggtax    Module to identify the most suitable GG family model
• ghansen    Module to perform Gregory-Hansen test for cointegration with regime shifts
• ghistcum    Module to graph histogram and cumulative distribution
• ghk2    Module (enhanced Mata function) to implement the Geweke-Hajivassiliou-Keane multivariate normal simulator
• ghxt    Module to compute Panel Groupwise Heteroscedasticity Tests
• ginidesc    Module to compute Gini index with within- and between-group inequality decomposition
• gipf    Module to graphically display a log-linear model
• git    Module to manage git repositories
• givgauss2    Module to estimate generalized two-parameter inverse Gaussian regression
• glcurve    Module to derive generalised Lorenz curve ordinates
• glcurve5    Module to derive generalised Lorenz curve ordinates with unit record data (Stata 5 or 6)
• glcurve7    Module to derive generalised Lorenz curve ordinates with unit record data (version 7)
• glgamma2    Module to estimate generalized two-parameter log-gamma regression
• gllamm    Module to fit generalised linear latent and mixed models
• glmcorr    Module for correlation measure of predictive power for GLMs
• glmdeco    Module to compute Detailed Decomposition of Average Outcome Differentials in Generalized Linear Models
• glst    Module for trend estimation of summarized dose-response data
• gmap    Module to create heatmaps for the web, using java api developped by google
• gmci    Module to calculate geometric means and their confidence intervals
• gmlabvpos    Module providing egen function for label positioning
• gmmcovearn    Module to compute GMM estimates of the Covariance Structure of Earnings
• gnbstrat    Module to estimate Generalized Negative Binomial with Endogenous Stratification
• gnpoisson    Module to estimate generalized Poisson regression
• gologit    Module to estimate generalized ordered logit models
• gologit2    Module to estimate generalized logistic regression models for ordinal dependent variables
• gologit29    Module to estimate generalized logistic regression models for ordinal dependent variables
• goprobit    Module to estimate generalized ordered probit models
• gpfobl    Module to perform rotation after factor / principal components
• gphepssj    Module to translate Stata graph files to .eps as used for The Stata Journal
• gphudak    Module to estimate long memory in a timeseries
• gprefscode    Module to report on graphics preferences
• gpreg    Module to estimate regressions with two dimensional fixed effects
• gpreset    Module to reset preferences for a custom graphics scheme to their original values
• gpscore2    Module to estimate the parameters of the conditional distribution of the treatment via GLM
• grand    Modules to compute grand mean and dummies for differences
• grand2    Module to compute an estimate of the grand mean/intercept and differences
• graph3d    Module to draw colored, scalable, rotatable 3D plots
• graphbinary    Module to plot explanatory variables vs binary outcome
• graphexportpdf    Module to produce PDF graphics on non-Windows systems
• graphlog    Module to convert log files to PDF documents with embedded graphs using LaTeX
• grby    Module to draw bar charts for each covariate pattern
• grcomb    Module to create and combine several single graphs into one
• grcompare    Module to make group comparisons in binary regression models
• grep    Module to search within your datasets for keywords
• grexport    Module to produce a resultset of graph contents
• grfreq    Module to plot proportion of one variable by categories of another
• grlogit    Module to plot logit of a variable by categories of another variable
• grnote    Module to add text and lines to graphs
• group1d    Module for grouping or clustering in one dimension
• group_id    Module to group identifiers when values for specified variables match
• group_twoway    Module to group observations by the connected components of two variables
• groupcl    Module to estimate grouped conditional logit models
• groupdist    Module to generate within-group minimum and maximum distances
• grouplabs    Module to create value labels for grouped variables
• groups    Module to list group frequencies
• grqreg    Module to graph the coefficients of a quantile regression
• grstest    Module to implement the Gibbons et al. (1989) test in a single-factor or multi-factor setting
• grstest2    Module to implement the Gibbons, Ross, Shanken (1989) test
• grubbs    Module to perform Grubbs’ test for outliers
• gs2sls    Module to estimate Generalized Spatial Two Stage Least Squares Cross Sections Regression
• gs2slsar    Module to estimate Generalized Spatial Autoregressive Two Stage Least Squares Regression
• gs2slsarxt    Module to estimate Generalized Spatial Panel Autoregressive Two Stage Least Squares Cross Sections Regression
• gs2slsxt    Module to estimate Generalized Spatial Panel Autoregressive Two-Stage Least Squares Regression
• gs3sls    Module to estimate Generalized Spatial Three Stage Least Squares (3SLS)
• gs3slsar    Module to estimate Generalized Spatial Autoregressive Three Stage Least Squares (3SLS) Cross Sections Regression
• gsa    Module to perform generalized sensitivity analysis
• gsample    Module to draw a random sample
• gsgroup    Module to create a group variable and optionally an output dataset for a gsort key
• gsreg    Module to perform Global Search Regression
• gsum    Module to calculate summary statistics for grouped data
• gumbelfit    Module to fit a two-parameter Gumbel distribution
• gvselect    Module to perform best subsets variable selection
• gwhet    Module to perform test for groupwise heteroskedasticity
• gzipuse    Module to use and save compressed dta files and compress .dta files
• gzsave    Module to save and use datasets compressed by gzip
• hadrilm    Module to perform Hadri panel unit root test
• haif    Module to compute Homoskedastic Adjustment Inflation Factors for model selection
• hallt-skewt    Module to compute skewness-adjusted bootstrap t-statistics
• hangroot    Module creating a hanging rootogram comparing an empirical distribution to the best fitting theoretical distribution
• hansen2    Module for Hansen’s test for parameter instability
• hapblock    Module to perform haplotype analysis to identify the edges of haplotype blocks
• hapipf    Module to perform haplotype analysis
• harmby    Module to harmonize values of variables within by-groups
• hash    Module to combine multiple integer variables into a single variable using non-minimal perfect hashing
• hausman    Module to compute a Hausman test statistic (version 5)
• hbar    Module to generate horizontal bar charts
• hbox    Module to draw horizontal box plots
• hcaccprox    Module to compute a hierchical cluster analysis with conditional measures of proximity
• hcavar    Module to perform Hierarchical Clusters Analysis of variables
• hcnbreg    Module to estimate Heterogeneous Canonical Negative Binomial Regression
• hdquantile    Module for Harrell-Davis estimator of quantiles
• heckprob2    Module to run heckprob and svyheckprob with d2 evaluator
• hegy4    Module to compute Hylleberg et al seasonal unit root test
• heterogi    Module to quantify heterogeneity in a meta-analysis
• hetprob    Module to estimate heteroskedastic probit model
• hetred    Module to implement heterogeneity reducing algorithms
• hgclg    Module to estimate geometric-complementary log log hurdle regression
• hglogit    Module to estimate geometric-logit hurdle regression
• hhi    Module to compute Herfindahl index
• hildasetup    Module to create a longitudinal dataset for the Household, Income and Labour Dynamics in Australia (HILDA) Survey
• himap    Module to create heatmaps for the web, using java api developed by highcharts
• himatrix    Module to highlight selected elements of scatterplot
• hireg    Module for hierarchial regression
• hist3    Module to draws histograms for intervals of different size
• histbox    Module to generate histogram with boxplot
• historaj    Module to produce histogram with descriptive statistics
• histplot    Module to produce histogram for frequency distribution
• hl    Module to compute Hodges and Lehman (1963) robust measure of location
• hlist    Module for horizontally listing values
• hlm    Module to invoke and run HLM v6 software from within Stata
• hlp2html    Module to translate a list of Stata help files to HTML
• hlp2pdf    Module to create PDF or PostScript from Stata help file
• hlp2winpdf    Module to convert Stata’s help files into pdf in Windows environment
• hlpdir    Module to find location(s) of help file
• hlpedit    Module to edit help file in do-file editor
• hmap    Module to graph a heatmap
• hnbclg    Module to estimate negative binomial-complementary log log hurdle regression
• hnblogit    Module to estimate negative binomial-logit hurdle regression
• hnbreg1    Module to estimate Heterogeneous linear negative binomial regression (NB-1)
• hodgesl    Module to perform Hodges-Lehmann aligned rank test
• hoi    Module to compute Human Opportunity Index
• hoishapley    Module to perform Shapley Decomposition of the Human Opportunity Index
• holsti    Module to compute Holsti intercoder reliability coefficients
• hotdeck    Module to impute missing values using the hotdeck method
• hotvalue    Module to generate scales with missing values conditionally imputed
• hpclg    Module to estimate Poisson-complementary log log hurdle regression
• hplogit    Module to estimate Poisson-logit hurdle regression
• hplot    Module to generate horizontal plots
• hprescott    Module to implement Hodrick-Prescott filter for timeseries data
• hshaz    Module to estimate discrete time (grouped data) proportional hazards models
• hsmode    Module to calculate half-sample modes
• hte    Module to perform heterogeneous treatment effect analysis
• hue    Module to produce graphical display of named Stata colors
• hummels    Module to compute intensive and extensive trade margins
• hutchens    Module to calculate the Hutchens `square root’ segregation index with optional decompositions by subgroup
• icc23    Module that computes models 2 and 3 of the intra-class correlation
• iccconf    Module to compute a confidence interval for an intraclass correlation (ICC)
• iccvar    Module to calculate intraclass correlation (ICC) after xtmixed
• icdpic    Module to provide methods for translating International Classification of Diseases (Ninth Revision) diagnosis codes into standard injury categories and/or scores
• ice    Module for multiple imputation of missing values
• icomp    Module to calculate model selection information criteria
• idonepsu    Module for dealing with strata that have singleton PSUs
• ie_rate    Module to conduct age, period, and cohort (APC) analysis of tabular rate data using the intrinsic estimator
• ifin    Module to generate a local containing an if statement to select multiple values
• ifwins    Module to subset a dataset by ‘if exp’ before subsetting by ‘in range’
  igencox    Module to fit generalized Cox models
• iia    Module to test the iia assumption in conditional logistic regression (version 5)
• imbalance    Module to check covariate imbalance before and after matching
• imputeitems    Module to impute missing data of binary items
• imputemok    Module to impute binary data by a Mokken scale
• imputerasch    Module to impute binary data by a Rasch model
• imvol    Module to compute Implied Volatility in Black-Scholes European Option Pricing Model
• inccat    Module to concatenate one or more input files to an output file inserting additional input files
• indeplist    Module to returns lists of independent variables from the active estimation command
• ineq    Module to calculate measures of inequality
• ineqdec0    Module to calculate inequality indices with decomposition by subgroup
• ineqdeco    Module to calculate inequality indices with decomposition by subgroup
• ineqfac    Module to calculate inequality decomposition by factor components
• ineqrbd    Module to calculate regression-based inequality decomposition
• inequal2    Module to compute measures of inequality
• inequal7    Module to compute measures of inequality
• ingap    Module to insert gap observations into a data set before output by listtex
• inorm    Module to perform multiple imputation using Schafer’s method
• insheetjson    Module for importing tabular data from JSON sources on the internet
• insingap    Module to insert a single gap observation at the top of each by-group
• insob    Module to insert empty observations
• int_utils    Module to perform interval computations in Mata
• intcens    Module to perform interval-censored survival analysis
• inteff3    Module to compute partial effects in a probit or logit model with a triple dummy variable interaction term
• integrate    Module to perform one-dimensional integration
• intext    Module to read text files into string variables
• intgph    Module to interpret interaction effects and present graphically
• intsolver    Module providing functions and tools for finding solutions to nonlinear equation systems in Mata
• intterms    Module to enumerate all indicators for all intersections of two categorical variables
• invcdf    Module to invert the cumulative distribution function
• invcise    Module to compute standard errors using the inverse confidence interval method
• invgammafit    Module to fit a two-parameter inverse gamma distribution
• invgaussfit    Module to fit a two-parameter inverse Gaussian distribution
• iop    Module to to compute different measures of inequality of opportunity for dichotomous, ordered and continuous outcome variables
• ipdforest    Module to produce forest plot for individual patient data IPD meta-analysis (one stage)
• ipdmetan    Module for performing two-stage IPD meta-analysis
• ipf    Module to perform log-linear modelling using Iterative Proportional Fitting
• ipfweight    Module to create adjustment weights for surveys
• ipshin    Module to perform Im-Pesaran-Shin panel unit root test
• iquantile    Module to calculate interpolated quantiles
• irr    Module to calculate the (periodic) internal rate of return for a series of periodic cash flows
• irrepro    Module to produce a simulation of irreproducible results
• irscharities    Module to import and format IRS Exempt Organization Business Master File Data
• isa    Module to perform Imbens’ (2003) sensitivity analysis
• isco    Module to recode 4 digit ISCO-68 occupational codes
• isko    Module to recode 4 digit ISCO-88 occupational codes
• isopoverty    Module to generate data for Inequality-Poverty and Iso-Poverty curves
• istdize    Module to generate indirectly standardized rates using a standard population
• isvar    Module to filter names into variable names and others
• itsa    Module to perform interrupted time series analysis for single and multiple groups
• itsp_ado    Module to accompany Introduction to Stata Programming book
• ivactest    Module to perform Cumby-Huizinga test for autocorrelation after IV/OLS estimation
• ivcheck    Module to choose between OLS and contaminated IV
• ivendog    Module to calculate Durbin-Wu-Hausman endogeneity test after ivreg
• ivgauss2    Module to estimate two-parameter log-inverse Gaussian regression
• ivglog    Module to estimate inverse Gaussian distribution-log link MLE model
• ivgmm0    Module to perform instrumental variables via GMM
• ivhettest    Module to perform Pagan-Hall and related heteroskedasticity tests after IV
• ivpois    Module to estimate an instrumental variables Poisson regression via GMM
• ivprob-ivtobit    Modules to estimate instrumental variables probit and tobit
• ivprob-ivtobit6    Modules to estimate instrumental variables probit and tobit
• ivreg2    Module for extended instrumental variables/2SLS and GMM estimation
• ivreg28    Module for extended instrumental variables/2SLS and GMM estimation (v8)
• ivreg29    Module for extended instrumental variables/2SLS and GMM estimation (v9)
• ivreg2h    Module to perform instrumental variables estimation using heteroskedasticity-based instruments
• ivreg2hdfe    Module to estimate an Instrumental Variable Linear Regression Model with two High Dimensional Fixed Effects
• ivregress2    Module to export first and second-stage results similar to ivregress
• ivreset    Module to perform Ramsey/Pesaran-Taylor/Pagan-Hall RESET specification test after IV/GMM/OLS estimation
• ivtreatreg    Module to estimate binary treatment models with idiosyncratic average effect
• ivvif    Module to report variance inflation factors after IV
• jarowinkler    Module to calculate the Jaro-Winkler distance between strings
• jb    Module to perform Jarque-Bera test for normality on series
• jb6    Modules to perform Jarque-Bera test for normality
• jmpierce    Module to perform Juhn-Murphy-Pierce decomposition
• jmpierce2    Module to compute trend decomposition of outcome differentials
• jnsn    Module to fit Johnson distributions
• johans    Module to perform Johansen-Juselius ML estimates of cointegration
• joinvars    Module to join values of variables
• jonter    Module to perform Jonckheere-Terpstra test
• kalpha    Module to compute Krippendorff’s Alpha-Reliability
• kapgof    Module to compute confidence intervals for the kappa statistic
• kaplansky    Module to graph examples of distributions of varying kurtosis
• kappa2    Module to produce Generalizations of weighted kappa for incomplete designs
• kapprevi    Module to plot the dependence of kappa statistic on true prevalence
• kaputil    Module to generate confidence intervals and sample size calculations for the kappa-statistic
• katego    Module to split a continuous numerical variable in custom categories
• kdbox    Module to generate kernel density plot with boxplot
  kdens    Module for univariate kernel density estimation
  kdens2    Module to estimate bivariate kernel density
• kdmany    Module to perform kernel density estimation for several variables
• keeporder    Module to keep and order a set of variables
• keepvar    Module to keep a list of variables in the order of their appearance in the list
• kernel    Module to compute various kernels
• kernreg1    Module to compute kernel regression (Nadaraya-Watson estimator)
• kernreg2    Module to compute kernel regression (Nadaraya-Watson estimator)
• ketchup    Module to produce modern-looking dynamic reports in HTML and PDF
• keyby    Module to key the dataset by a variable list
• keyplot    Module to generate scatter plot with keys in user-chosen positions
• khb    Module to decompose total effects into direct and indirect via KHB-method
• kitchensink    Module to return the model with the highest number of statistically significant predictors
• kountry    Module to standardize country names across various datasets
• kpss    Module to compute Kwiatkowski-Phillips-Schmidt-Shin test for stationarity
• kr20    Module to calculate Kuder-Richardson coefficient of reliability
• krippalpha    Module to compute Krippendorff’s alpha intercoder reliability coefficient
• krls    Module to perform Kernela���Based Regularized Least Squares
• ksi    Module to compute Krugman specialization index
• kwallis2    Module to perform Kruskal-Wallis Test for equality of populations
• kwstat    Module to compute kernel weighted sample statistics
• labcenswdi    Module to automatically manage datasets obtained from US Census 2000 and World Development Indicators databases
• labellacking    Module to report numeric variables with values lacking value labels
• labellist    Module to list value labels
• labelmiss    Module to label missing data
• labelsof    Module to obtain a list of labeled values
• labelutil programs to create multiple value labels
• labgen    Module to generate or replace variables with definitions in variable labels
• lablist    Module to list value labels (if present) for one or more variables
• labmatch    Module to find observations by label values
• labmm    Module to modify multiple value labels simultaneously
• labmv    Module to change numeric values to extended missing values preserving value labels
• labrec    Module to recode variables according to value label
• labsort    Module to recode a grouping variable according to a group statistic and reorder its value labels
• labsumm    Module to generate summary table with variable labels
• labundef    Module to list undefined value labels attached to variables in the current dataset
• labup    Module to   Module to order/move variables based on label contents
• labutil    Modules for managing value and variable labels
• labutil2    Module to manage value and variable labels
• labvalch3    Module to change value labels
• labvalcl    Module to clear value labels of null strings
• labvalpool    Module to change value labels
• labvars    Module to attach a list of labels to varlist
• lambda    Module for Goodman and Kruskal’s lambda measures for two-way tables
• landemets    Module to compute boundaries for group sequential clinical trials using alpha spending functions
• lars    Module to perform least angle regression
• latab    Module to generate LaTeX output from tabulate
• lbpower    Module to calculate approximate power (or sample size) for longitudinal studies with binary response and two equally sized treatment groups
• lclogit    Module to fit latent class conditional logit models via EM algorithm
• lcmc    Module to estimate latent class missing covariate model for continous main response, ordinal covariate with missing values, and informative selection
• ldecomp    Module decomposing the total effects in a logistic regression into direct and indirect effects
• ldtest    Module to compute Lorenz Dominance tests
• leanout    Module to produce lean output formatting for estimation results
• leebounds    Module for estimating Lee (2009) treatment effect bounds
• leftalign    Module to left-align (or right-align) variables
• levels    Module to report distinct levels of integer or string variable
• levene    Module to test for equal population variances
• levinlin    Module to perform Levin-Lin-Chu panel unit root test
• levpredict    Module to compute log-linear level predictions reducing retransformation bias
• lfsum    Modules to describe variables located by name fragments
• lgamma2    Module to estimate two-parameter log-gamma regression
• lgraph    Module to draw line graphs with optional error bars
• libjson    Module to provide Mata class library for obtaining and parsing JSON strings into object trees
• lincheck    Module to graphically assess the linearity of a continuous covariate in a regression model
• lincom2    Module to compute multiple linear combinations
• lincomest    Module to generate linear combinations of estimators saved as estimation results
• linequate    Module to calculate linear equating constants using the Tucker and Levine Methods
• linkplot    Module for linked (connected) scatter plots
• lisrelinput    Module to generate input for pasting into LISREL
• listmiss    Module to analyse missing values related to an estimation command
• listsome    Module to list a (possibly random) sample of observations
• listtab    Module to list variables as rows of a TeX, HTML or word processor table
• listtex    Module to list variables as rows of a TeX, HTML or word processor table
• listutil    Modules to manipulate lists of words
• ljs    Module to left-justify string variables for printing
• lmabg    Module to compute OLS Autocorrelation Breusch-Godfrey Test at Higher Order AR§
• lmabg2    Module to Compute 2SLS-IV Autocorrelation Breusch-Godfrey Test at Higher Order AR§
• lmabgnl    Module to compute NLS Autocorrelation Breusch-Godfrey Test at Higher Order AR§
• lmabp    Module to compute Box-Pierce Autocorrelation LM Test at Higher Order AR§
• lmabp2    Module to compute 2SLS-IV Box-Pierce Autocorrelation LM Test at Higher Order AR§
• lmabpgxt    Module to compute Panel Data Autocorrelation Breusch-Pagan-Godfrey Test
• lmabpnl    Module to compute NLS Autocorrelation Box-Pierce Test at Higher Order AR§
• lmabpxt    Module to compute Panel Data Autocorrelation Box-Pierce Test
• lmabxt    Module to compute Panel Autocorrelation Baltagi Test
• lmadurh    Module to compute Durbin h, Harvey LM, Wald LM Autocorrelation Tests
• lmadurh2    Module to compute 2SLS-IV Autocorrelation Dynamic Durbin h, Harvey LM, and Wald Tests
• lmadurhxt    Module to Compute Panel Data Autocorrelation Dynamic Durbin h and Harvey LM Tests
• lmadurm    Module to compute OLS Autocorrelation Dynamic Durbin m Test at Higher Order AR§
• lmadurmnl    Module to compute NLS Autocorrelation Dynamic Durbin m Test at Higher Order AR§
• lmadurmxt    Module to compute Panel Data Autocorrelation Dynamic Durbin m Test
• lmadw    Module to compute Durbin-Watson Autocorrelation Test
• lmadw2    Module to compute 2SLS-IV Autocorrelation Durbin-Watson Test at Higher Order AR§
• lmadwnl    Module to compute NLS Autocorrelation Durbin-Watson Test at Higher Order AR§
• lmalb    Module to compute Ljung-Box Autocorrelation LM Test at Higher Order AR§
• lmalb2    Module to compute 2SLS-IV Autocorrelation Ljung-Box Test at Higher Order AR§
• lmalbnl    Module to compute NLS Autocorrelation Ljung-Box Test at Higher Order AR§
• lmanlsur    Module to perform Overall System NL-SUR Autocorrelation Tests
• lmareg3    Module to compute Overall System Autocorrelation Tests after 3SLS and SURE
• lmasem    Module to perform Overall System Structural Equation Modeling (SEM) Autocorrelation Tests
• lmavon    Module to compute Von Neumann Ratio Autocorrelation Test at Higher Order AR§
• lmavonnl    Module to compute NLS Autocorrelation Von Neumann Ratio Test at Higher Order AR§
• lmavonxt    Module to compute Panel Data Autocorrelation Von Neumann Ratio Test
• lmaz    Module to compute OLS Autocorrelation Z Test at Higher Order AR§
• lmcol    Module to compute OLS Multicollinearity Diagnostic Tests
• lmcovnlsur    Module to perform Breusch-Pagan Lagrange Multiplier Diagonal Covariance Matrix Test after (NL-SUR) Regressions
• lmcovreg3    Module to Compute Breusch-Pagan Lagrange Multiplier Diagonal Covariance Matrix Test after (3SLS-SURE) Regressions
• lmcovsem    Module to perform Overall System Structural Equation Modeling (SEM) Breusch-Pagan Lagrange Multiplier Diagonal Covariance Matrix Test
• lmcovvar    Module to compute (VAR) Breusch-Pagan Diagonal Covariance Matrix Test
• lmcovxt    Module to Compute Breusch-Pagan Lagrange Multiplier Diagonal Covariance Matrix Test for Panel Data
• lmeg    Module to compute Augmented Engle-Granger Cointegration Test at Higher Order AR§
• lmfreg    Module to Compute OLS Linear vs Log-Linear Functional Form Tests
• lmfreg2    Module to compute 2SLS-IV Linear vs Log-Linear Functional Form Tests
• lmgc    Module to compute Granger Causality Test at Higher Order AR§
• lmharch    Module to compute OLS Heteroscedasticity Engle (ARCH) Test
• lmhcw    Module to Compute OLS Heteroscedasticity Cook-Weisberg Test
• lmhcwnl    Module to compute NLS Heteroscedasticity Cook-Weisberg Test
• lmhgl    Module to Compute Glejser Lagrange Multiplier Heteroscedasticity Test for Residuals after OLS Regression
• lmhharv    Module to Compute Harvey Lagrange Multiplier Heteroscedasticity Test for Residuals after OLS Regression
• lmhhp    Module to Compute OLS Heteroscedasticity Hall-Pagan Test
• lmhhp2    Module to Compute 2SLS-IV Heteroscedasticity Hall-Pagan Test
• lmhhpnl    Module to compute NLS Heteroscedasticity Hall-Pagan Test
• lmhhpxt    Module to compute Panel Data Heteroscedasticity Hall-Pagan Test
• lmhlmxt    Module to Compute Breusch-Pagan Lagrange Multiplier Panel Heteroscedasticity Test
• lmhlrxt    Module to Compute Greene Likelihood Ratio Panel Heteroscedasticity Test
• lmhmss2    Module to Compute 2SLS-IV Heteroscedasticity Machado-Santos-Silva Test
• lmhnlsur    Module to perform Overall System NL-SUR Heteroscedasticity Tests
• lmhreg3    Module to compute Overall System Heteroscedasticity Tests after (3SLS-SURE) Regressions
• lmhsem    Module to perform Overall System Structural Equation Modeling (SEM) Heteroscedasticity Tests
• lmhwald    Module to compute OLS Heteroscedasticity Wald Test
• lmhwaldxt    Module to compute Panel Data Heteroscedasticity Wald Test
• lmnad    Module to Compute OLS Non Normality Anderson-Darling Test
• lmnadxt    Module to compute Panel Data Non Normality Anderson-Darling Test
• lmndh    Module to Compute OLS Non Normality Doornik-Hansen Test
• lmndp    Module to Compute OLS Non Normality D’Agostino-Pearson Test
• lmngr    Module to compute Jarque-Bera Non Normality Lagrange Multiplier Runs Test for Residuals after OLS Regression
• lmngry    Module to compute Geary Non Normality Lagrange Multiplier Runs Test
• lmngryxt    Module to compute Panel Data Non Normality Geary Runs Test
• lmnjb    Module to compute Lagrange Multiplier LM Jarque-Bera Normality Test
• lmnjbnl    Module to compute NLS Non Normality Jarque-Bera Test
• lmnnlsur    Module to perform Overall System NL-SUR Non-Normality Tests
• lmnreg3    Module to compute Overall System Non Normality Tests after (3SLS-SURE) Regressions
• lmnsem    Module to perform Overall System Structural Equation Modeling (SEM) Non Normality Tests
• lmnwhite    Module to Compute White Non Normality Lagrange Multiplier Test after OLS Regression
• lmnwhitenl    Module to compute NLS Non Normality White Test
• lmnwhitext    Module to compute Panel Data Non Normality White Test
• lmoments    Module to generate L-moments and derived statistics
• lms    Module to perform least median squares regression fit
• lmsrd    Module to compute Spurious Regression Diagnostic after OLS Regression
• locpr    Module for semi-parametric estimation
• loevh    Module to compute Guttman errors and Loevinger H coefficients
• log2do2    Module to convert log file to do file
• log2html    Module to produce HTML log files
• logitcprplot    Module to graph component-plus-residual plot for logistic regression
• logithetm    Module to estimate Logit Multiplicative Heteroscedasticity Regression
• lognfit    Module to fit lognormal distribution by maximum likelihood
• logout    Module to convert log or ASCII files into various output formats
• logpred    Module to calculate logistic regression probabilities
• lomackinlay    Module to perform Lo-MacKinlay variance ratio test
• lomodrs    Module to perform Lo R/S test for long range dependence in timeseries
• longch    Module to identify how many records satisfy a condition
• longplot    Module to produce exploratory plot for longitudinal data
• longshape    Module to reshape long (limited alternative version)
• loocv    Module to perform Leave-One-Out Cross-Validation
• lookfor_all    Module to search for variables/patterns in .dta files
• lookfor_val    Module to search the current dataset for values that match a specified pattern
• lookforit    [Module to search variable names and labels for some string or strings](http://www.h

由于 CSDN 有文章长度的限制，未能显示所有 外部命令。这里存放了所有命令