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本文由计量经济学服务中心编辑整理，转载请注明出处。下面命令按照重要程度以及相关分析方法步骤等依次列出。 help : online help on a specific command findit : online references on a keyword or topic ssc : access routines from the SSC Archive pwd : print the working directory cd : change the working directory log : log output to an external file tsset : define the time indicator for timeseries or panel data compress : economize on space used by variables clear : clear memory quietly : do not show the results of a command update query : see if Stata is up to date adoupdate : see if user-written commands are up to date exit : exit the program (,clear if dataset is not saved) generate : create a new variable describe : describe a data set or current contents of memory replace : modify an existing variable rename : rename variable renvars : rename a set of variables sort : change the sort order of the dataset drop : drop certain variables and/or observations keep : keep only certain variables and/or observations append : combine datasets by stacking merge : merge datasets (one-to-one or match merge) encode : generate numeric variable from categorical variable recode : recode categorical variable destring : convert string variables to numeric foreach : loop over elements of a list, performing a block of code forvalues : loop over a numlist, performing a block of code local : define or modify a local macro (scalar variable) use : load a Stata data set save : write the contents of memory to a Stata data set insheet : load a text file in tab- or comma-delimited format infile : load a text file in space-delimited format or as defined in a dictionary outfile : write a text file in space- or comma-delimited format outsheet : write a text file in tab- or comma-delimited format contract : make a dataset of frequencies collapse : make a dataset of summary statistics tab : abbreviation for tabulate: 1- and 2-way tables table : tables of summary statistics summarize : descriptive statistics correlate : correlation matrices ttest : perform 1-, 2-sample and paired t-tests anova : 1-, 2-, n-way analysis of variance regress : least squares regression predict : generate fitted values, residuals, etc. test : test linear hypotheses on parameters lincom : linear combinations of parameters cnsreg : regression with linear constraints testnl : test nonlinear hypothesis on parameters margins : marginal effects (elasticities, etc.) ivregress : instrumental variables regression prais : regression with AR(1) errors sureg : seemingly unrelated regressions reg3 : three-stage least squares qreg : quantile regression logit, logistic : logit model, logistic regression probit : binomial probit model tobit : one- and two-limit Tobit model cnsreg : Censored normal regression (generalized Tobit) ologit, oprobit : ordered logit and probit models mlogit : multinomial logit model poisson : Poisson regression heckman : selection model arima : Box–Jenkins models, regressions with ARMA errors arfima : Box–Jenkins models with long memory errors arch : models of autoregressive conditional heteroskedasticity dfgls : unit root tests corrgram : correlogram estimation var : vector autoregressions (basic and structural) irf : impulse response functions, variance decompositions vec : vector error–correction models (cointegration) sspace : state-space models dfactor : dynamic factor models ucm : unobserved-components models rolling: prefix permitting rolling or recursive estimation over subsets xtreg,fe : fixed effects estimator xtreg,re : random effects estimator xtgls : panel-data models using generalized least squares xtivreg : instrumental variables panel data estimator xtlogit : panel-data logit models xtprobit : panel-data probit models xtpois : panel-data Poisson regression xtgee : panel-data models using generalized estimating equations xtmixed : linear mixed (multi-level) models xtabond : Arellano-Bond dynamic panel data estimator |
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