Sample Selection and Heckman's Method | Estimation Methods | Stata Tutorials Topic 46

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  • Опубліковано 6 бер 2024
  • Stata Tutorials Topic 46: Sample Selection and Heckman's Method | Regression Analysis and Estimation Methods Using Stata
    Hi, I am Bob. We will explore sample selection today. We will learn how to follow Heckman's two-step procedure in Stata to alleviate the endogenous sample selection bias. Sample selection bias happens when the estimation sample cannot represent the entire population we are interested in. A classic example in econometrics textbooks is the women's wage equation.
    Please download the dataset for this topic:
    drive.google.com/file/d/1ZJDM...
    #SampleSelection #heckman #twostep #SampleSelectionBias #endogenous #exogenous #Stata #RegressionAnalysisandEstimationMethods #tutorial
    The Stata commands in this video:
    *Open dataset
    use CPS91.dta, clear
    describe
    tabulate inlf
    *OLS
    regress lwage educ exper expersq black hispanic
    estimates store OLS
    *Heckman two-step procedure manually
    *Step1: Linear predictions from selection regression
    probit inlf educ exper expersq black hispanic nwifeinc kidlt6
    predict inlfhat, xb
    generate lambdahat=normalden(inlfhat)/normal(inlfhat)
    *Step2: Include inverse Mills ratio in wage regression
    regress lwage educ exper expersq black hispanic lambdahat
    estimates store SSC1
    esttab OLS SSC1, mtitles se star(* 0.1 * 0.05 ** 0.01) b(%7.3f) compress
    *The heckman command
    heckman lwage educ exper expersq black hispanic, select(inlf=educ exper expersq black hispanic nwifeinc kidlt6) twostep mills(lambhat)
    estimates store SSC2
    esttab OLS SSC1 SSC2, mtitles se star(* 0.1 * 0.05 ** 0.01) b(%7.3f) compress
    summarize lambdahat lambhat
    *An equivalent method
    probit inlf educ exper expersq black hispanic nwifeinc kidlt6
    predict inlfhat_pr, pr
    regress lwage educ exper expersq black hispanic inlfhat_pr
    estimates store SSC3
    esttab OLS SSC1 SSC2 SSC3, mtitles se star(* 0.1 * 0.05 ** 0.01) b(%7.3f) compress
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КОМЕНТАРІ • 1

  • @ilusoriob
    @ilusoriob 4 місяці тому

    Thank you for sharing your knowledge!