一文读懂stata模型汇总入门命令及108个常用命令

2024年1月31日发(作者：)

replace : modify an existing variablerename : rename variablerenvars : rename a set of variablessort : change the sort order of the datasetdrop : drop certain variables and/or observationskeep : keep only certain variables and/or observationsappend : combine datasets by stackingmerge : merge datasets (one-to-one or match merge)encode : generate numeric variable from categorical variablerecode : recode categorical variabledestring : convert string variables to numericforeach : loop over elements of a list, performing a block of codeforvalues : loop over a numlist, performing a block of codelocal : define or modify a local macro (scalar variable)use : load a Stata data setsave : write the contents of memory to a Stata data setinsheet : load a text file in tab- or comma-delimited formatinfile : load a text file in space-delimited format or as defined in adictionaryoutfile : write a text file in space- or comma-delimited formatoutsheet : write a text file in tab- or comma-delimited formatcontract : make a dataset of frequenciescollapse : make a dataset of summary statisticstab : abbreviation for tabulate: 1- and 2-way tablestable : tables of summary statisticsStatistical commandssummarize : deive statistics

summarize : deive statisticscorrelate : correlation matricesttest : perform 1-, 2-sample and paired t-testsanova : 1-, 2-, n-way analysis of varianceregress : least squares regressionpredict : generate fitted values, residuals, : test linear hypotheses on parameterslincom : linear combinations of parameterscnsreg : regression with linear constraintstestnl : test nonlinear hypothesis on parametersmargins : marginal effects (elasticities, etc.)ivregress : instrumental variables regressionprais : regression with AR(1) errorssureg : seemingly unrelated regressionsreg3 : three-stage least squaresqreg : quantile regressionLimited dependent variable estimation commandslogit, logistic : logit model, logistic regressionprobit : binomial probit modeltobit : one- and two-limit Tobit modelcnsreg : Censored normal regression (generalized Tobit)ologit, oprobit : ordered logit and probit modelsmlogit : multinomial logit modelpoisson : Poisson regressionheckman : selection modelTime series estimation commandsarima : Box–Jenkins models, regressions with ARMA errors

arfima : Box–Jenkins models with long memory errorsarch : models of autoregressive conditional heteroskedasticitydfgls : unit root testscorrgram : correlogram estimationvar : vector autoregressions (basic and structural)irf : impulse response functions, variance decompositionsvec : vector error–correction models (cointegration)sspace : state-space modelsdfactor : dynamic factor modelsucm : unobserved-components modelsrolling: prefix permitting rolling or recursive estimation over subsetsPanel data estimation commandsxtreg,fe : fixed effects estimatorxtreg,re : random effects estimatorxtgls : panel-data models using generalized least squaresxtivreg : instrumental variables panel data estimatorxtlogit : panel-data logit modelsxtprobit : panel-data probit modelsxtpois : panel-data Poisson regressionxtgee : panel-data models using generalized estimating equationsxtmixed : linear mixed (multi-level) modelsxtabond : Arellano-Bond dynamic panel data estimator