1996
DOI: 10.1002/(sici)1099-1255(199605)11:3<321::aid-jae391>3.3.co;2-b
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Parametric and semi‐parametric estimation of the binary response model of labour market participation
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Cited by 15 publications
(14 citation statements)
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“…We deeply thank Michael Lechner for r v i d i n g the SNP code. Gerfin (1996) also failed to reject probit in favour of SNP in his study of Swiss women's labour force participation. He did reject probit using German data, but the coefficients of probit and SNP were not very different in that case either.…”
Section: Resultsmentioning
confidence: 99%
“…We deeply thank Michael Lechner for r v i d i n g the SNP code. Gerfin (1996) also failed to reject probit in favour of SNP in his study of Swiss women's labour force participation. He did reject probit using German data, but the coefficients of probit and SNP were not very different in that case either.…”
Section: Resultsmentioning
confidence: 99%
“…In the original formulation of the model, Klein and Spady trim the likelihood function to ensure that G is bounded away from 0 and 1. Simulations of their model and other studies using this estimator (Horowitz, 1993;Gerfin, 1996;Fernández and Rodríguez-Poo, 1997) find little impact of trimming in empirical applications. Following these studies, this application does not trim the likelihood function.…”
Section: Estimating Counterfactual Outcomesmentioning
confidence: 90%
“…The first study is one performed by Gerfin (1996), who investigated labor market participation of married Swiss women. Gerfin used n = 872 observations that contain six explanatory variables, Tables 3 and 4.…”
Section: Empirical Application: Labor Market Participation Of Marriedmentioning
confidence: 90%
