Arbeitspapier
When Outcome Heterogeneously Matters for Selection – A Generalized Selection Correction Estimator
The classical Heckman (1976, 1979) selection correction estimator (heckit) is misspecified and inconsistent if an interaction of the outcome variable and an explanatory variable matters for selection. To address this specification problem, a full information maximum likelihood estimator and a simple two-step estimator are developed. Monte-Carlo simulations illustrate that the bias of the ordinary heckit estimator is removed by these generalized estimation procedures. Along with OLS and the ordinary heckit procedure, we apply these estimators to data from a randomized trial that evaluates the effectiveness of financial incentives for weight loss among the obese. Estimation results indicate that the choice of the estimation procedure clearly matters.
- ISBN
-
978-3-86788-427-3
- Sprache
-
Englisch
- Erschienen in
-
Series: Ruhr Economic Papers ; No. 372
- Klassifikation
-
Wirtschaft
Single Equation Models; Single Variables: Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
Field Experiments
- Thema
-
selection bias
interaction
heterogeneity
generalized estimator
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Reichert, Arndt
Tauchmann, Harald
- Ereignis
-
Veröffentlichung
- (wer)
-
Rheinisch-Westfälisches Institut für Wirtschaftsforschung (RWI)
- (wo)
-
Essen
- (wann)
-
2012
- DOI
-
doi:10.4419/86788427
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:41 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Reichert, Arndt
- Tauchmann, Harald
- Rheinisch-Westfälisches Institut für Wirtschaftsforschung (RWI)
Entstanden
- 2012
Ähnliche Objekte (12)
When Outcome Heterogeneously matters for Selection: a Generalized Selection Correction Estimator
When outcome heterogeneously matters for selection: a generalized selection correction estimator
Consistency of Heckman-type two-step Estimators for the Multivariate Sample-Selection Model
Consistency of Heckman-type two-step Estimators for the Multivariate Sample-Selection Model
A Note on Consistency of Heckman-type two-step Estimators for the Multivariate Sample-Selection Model
A note on consistency of Heckman type two-step estimators for the multivariate sample selection model
Being Focused: When the Purpose of Inference Matters for Model Selection
When outcome heterogeneously matters for selection : A generalized selection correction estimator
When Outcome Heterogeneously Matters for Selection – A Generalized Selection Correction Estimator
CO2-Vermeidung und Brennstoffwahl in der Elektrizitätserzeugung: Ökonometrische Analysen
Tobacco and alcohol: complements or substitutes? : a statistical Guinea pig approach
West-East Convergence in the Prevalence of Cannabis Use: Socioeconomics or Culture?
When Outcome Heterogeneously matters for Selection: a Generalized Selection Correction Estimator
When outcome heterogeneously matters for selection: a generalized selection correction estimator
Consistency of Heckman-type two-step Estimators for the Multivariate Sample-Selection Model
Consistency of Heckman-type two-step Estimators for the Multivariate Sample-Selection Model
A Note on Consistency of Heckman-type two-step Estimators for the Multivariate Sample-Selection Model
A note on consistency of Heckman type two-step estimators for the multivariate sample selection model
Being Focused: When the Purpose of Inference Matters for Model Selection
When outcome heterogeneously matters for selection : A generalized selection correction estimator
When Outcome Heterogeneously Matters for Selection – A Generalized Selection Correction Estimator
CO2-Vermeidung und Brennstoffwahl in der Elektrizitätserzeugung: Ökonometrische Analysen
Tobacco and alcohol: complements or substitutes? : a statistical Guinea pig approach
West-East Convergence in the Prevalence of Cannabis Use: Socioeconomics or Culture?
When Outcome Heterogeneously matters for Selection: a Generalized Selection Correction Estimator
When outcome heterogeneously matters for selection: a generalized selection correction estimator
Consistency of Heckman-type two-step Estimators for the Multivariate Sample-Selection Model
Consistency of Heckman-type two-step Estimators for the Multivariate Sample-Selection Model
A Note on Consistency of Heckman-type two-step Estimators for the Multivariate Sample-Selection Model
A note on consistency of Heckman type two-step estimators for the multivariate sample selection model
Being Focused: When the Purpose of Inference Matters for Model Selection
When outcome heterogeneously matters for selection : A generalized selection correction estimator
When Outcome Heterogeneously Matters for Selection – A Generalized Selection Correction Estimator
CO2-Vermeidung und Brennstoffwahl in der Elektrizitätserzeugung: Ökonometrische Analysen
Tobacco and alcohol: complements or substitutes? : a statistical Guinea pig approach