2000
DOI: 10.1111/1467-6419.00104
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The Heckman Correction for Sample Selection and Its Critique

Abstract: This paper gives a short overview of Monte Carlo studies on the usefulness of Heckman's (1976Heckman's ( , 1979 two-step estimator for estimating selection models. Such models occur frequently in empirical work, especially in microeconometrics when estimating wage equations or consumer expenditures.It is shown that exploratory work to check for collinearity problems is strongly recommended before deciding on which estimator to apply. In the absence of collinearity problems, the full-information maximum likelih… Show more

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Cited by 853 publications
(588 citation statements)
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References 30 publications
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“…It is possible that a selection bias exists because the same variables that determine outsourcing also determine performance. To tackle this problem, we use subsample OLS, a technique preferable to its alternative, the Heckman correction, under many conditions (Puhani, 2000). This implies we run separate regressions for the largest three 3-digit industries (models 2, 3, and 4) to check whether our main findings hold for these subsamples.…”
Section: Market Uncertainty Market Uncertainty Results In Variation mentioning
confidence: 99%
“…It is possible that a selection bias exists because the same variables that determine outsourcing also determine performance. To tackle this problem, we use subsample OLS, a technique preferable to its alternative, the Heckman correction, under many conditions (Puhani, 2000). This implies we run separate regressions for the largest three 3-digit industries (models 2, 3, and 4) to check whether our main findings hold for these subsamples.…”
Section: Market Uncertainty Market Uncertainty Results In Variation mentioning
confidence: 99%
“…The inverse Mills ratio is calculated from the Heckman two-step estimation procedure (Puhani, 2000) and expresses unobserved characteristics of the firm. By including the inverse Mills ratio as explanatory variable in the regression analysis, one removes the selection bias part from the survey in 2011 from the error terms.…”
mentioning
confidence: 99%
“…As observed by Puhani (2000), this problem is noticed in the probit selection model. Such a model must contain a variable that is not in the ordinary least squares (OLS) model.…”
Section: Heckman Two-stage Process (Dealing With Zero Trades)mentioning
confidence: 88%