Method evidence record
Heckman Selection Model
The Heckman selection model, introduced by James J. Heckman in 1979, is a two-step model that corrects sample selection bias when the outcome is only observed for a non-random subset of cases. A probit selection equation models who is observed, and the outcome equation then corrects for the resulting bias using the inverse Mills ratio.
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Heckman Sample Selection Model (Heckit / Tobit Type II)
Taxonomic method record · regression-model / econometrics
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