Artikel
Misclassification in binary choice models with sample selection
Most empirical work in the social sciences is based on observational data that are often both incomplete, and therefore unrepresentative of the population of interest, and affected by measurement errors. These problems are very well known in the literature and ad hoc procedures for parametric modeling have been proposed and developed for some time, in order to correct estimate's bias and obtain consistent estimators. However, to our best knowledge, the aforementioned problems have not yet been jointly considered. We try to overcome this by proposing a parametric approach for the estimation of the probabilities of misclassification of a binary response variable by incorporating them in the likelihood of a binary choice model with sample selection.
- Sprache
-
Englisch
- Erschienen in
-
Journal: Econometrics ; ISSN: 2225-1146 ; Volume: 7 ; Year: 2019 ; Issue: 3 ; Pages: 1-19 ; Basel: MDPI
- Klassifikation
-
Wirtschaft
- Thema
-
misclassified dependent variable
sample selection bias
undeclared work
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Arezzo, Maria Felice
Guagnano, Giuseppina
- Ereignis
-
Veröffentlichung
- (wer)
-
MDPI
- (wo)
-
Basel
- (wann)
-
2019
- DOI
-
doi:10.3390/econometrics7030032
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:45 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Artikel
Beteiligte
- Arezzo, Maria Felice
- Guagnano, Giuseppina
- MDPI
Entstanden
- 2019
Ähnliche Objekte (12)
Response-based sampling for binary choice models with sample selection
A GMM-based test for normal disturbances of the Heckman sample selection model
Semiparametric Estimation of a Binary Choice Model with Sample Selection
Direct and indirect effects under sample selection and outcome attrition
Public choice
Generalized binary time series models
Valuable cheap talk and equilibrium selection
In-sample hazard forecasting based on survival models with operational time
Credible Granger-causality inference with modest sample lengths: A cross-sample validation approach
Short note: Correlated individual differences and choice prediction
Portfolio theory in solving the problem structural choice
Selection criteria in regime switching conditional volatility models
Response-based sampling for binary choice models with sample selection
A GMM-based test for normal disturbances of the Heckman sample selection model
Semiparametric Estimation of a Binary Choice Model with Sample Selection
Direct and indirect effects under sample selection and outcome attrition
Public choice
Generalized binary time series models
Valuable cheap talk and equilibrium selection
In-sample hazard forecasting based on survival models with operational time
Credible Granger-causality inference with modest sample lengths: A cross-sample validation approach
Short note: Correlated individual differences and choice prediction
Portfolio theory in solving the problem structural choice
Selection criteria in regime switching conditional volatility models
Response-based sampling for binary choice models with sample selection
A GMM-based test for normal disturbances of the Heckman sample selection model
Semiparametric Estimation of a Binary Choice Model with Sample Selection
Direct and indirect effects under sample selection and outcome attrition
Public choice
Generalized binary time series models
Valuable cheap talk and equilibrium selection
In-sample hazard forecasting based on survival models with operational time
Credible Granger-causality inference with modest sample lengths: A cross-sample validation approach
Short note: Correlated individual differences and choice prediction
Portfolio theory in solving the problem structural choice