Bias correction for the within-group estimator for panel-data sample-selection models

Han and Lee (2022) propose a least-squares approach to correct for selectivity bias in the within-group estimator of linear panel data models with fixed effects and sample selection. This article reviews their estimator and introduces a Stata command that provides a numerically stable implementation.

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Publication Details

Journal
The Stata Journal Promoting communications on statistics and Stata
Published
2026-09-01
DOI
https://doi.org/10.1177/1536867x261477565
Primary Topic
Spatial and Panel Data Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Bias correction for the within-group estimator for panel-data sample-selection models

Goeun Lee, Chirok Han
The Stata Journal Promoting communications on statistics and Stata
Spatial and Panel Data Analysis
article

Bias correction for the within-group estimator for panel-data sample-selection models

Goeun Lee, Chirok Han
article en

Abstract

Han and Lee (2022) propose a least-squares approach to correct for selectivity bias in the within-group estimator of linear panel data models with fixed effects and sample selection. This article reviews their estimator and introduces a Stata command that provides a numerically stable implementation.

The Stata Journal Promoting communications on statistics and StataVol. 26(3)
Kookmin University (KR), Korea University (KR), Korea University (JP)
Openalex Percentile: Top 18%
Spatial and Panel Data Analysis
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