Identification and Decompositions in Probit and Logit Models
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Other versions of this item:
- Chung Choe & SeEun Jung & Ronald L. Oaxaca, 2017. "Identification and Decompositions in Probit and Logit Models," Inha University IBER Working Paper Series 2017-8, Inha University, Institute of Business and Economic Research, revised Jul 2017.
References listed on IDEAS
- Wolff, François-Charles, 2012.
"Decomposition of non-linear models using simulated residuals,"
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- François-Charles Wolff, 2012. "Decomposition of non-linear models using simulated residuals," Working Papers hal-00694421, HAL.
- Jung, Seeun & Choe, Chung & Oaxaca, Ronald L., 2016.
"Gender Wage Gaps and Risky vs. Secure Employment: An Experimental Analysis,"
IZA Discussion Papers
10132, Institute for the Study of Labor (IZA).
- SeEun Jung & Chung Choe & Ronald L. Oaxaca, 2017. "Gender Wage Gaps and Risky vs. Secure Employment: An Experimental Analysis," Inha University IBER Working Paper Series 2017-7, Inha University, Institute of Business and Economic Research, revised Jul 2017.
- Thomas Bauer & Mathias Sinning, 2008.
"An extension of the Blinder–Oaxaca decomposition to nonlinear models,"
AStA Advances in Statistical Analysis,
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More about this item
Keywordsdecompositions; probit; logit; identification;
- C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
- D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
- J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-ALL-2017-02-19 (All new papers)
- NEP-DCM-2017-02-19 (Discrete Choice Models)
- NEP-ECM-2017-02-19 (Econometrics)
- NEP-ORE-2017-02-19 (Operations Research)
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