Estimation and specification testing in female labor participation models: parametric and semiparametric methods
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Publication:4355167
DOI10.1080/07474939708800383zbMath0891.62087OpenAlexW2086931627MaRDI QIDQ4355167
Ana I. Fernández, Juan M. Rodríguez-Póo
Publication date: 25 June 1998
Published in: Econometric Reviews (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/07474939708800383
Related Items (4)
SEMIPARAMETRIC ESTIMATION OF SEPARABLE MODELS WITH POSSIBLY LIMITED DEPENDENT VARIABLES ⋮ Model selection in binary and Tobit quantile regression using the Gibbs sampler ⋮ Estimation of the female labor supply models by Heckman's two-step estimator and the maximum likelihood estimator. ⋮ Finite sample behavior of two step estimators in selection models
Cites Work
- Unnamed Item
- A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity
- Semiparametric analysis of discrete response. Asymptotic properties of the maximum score estimator
- Asymptotic efficiency in semi-parametric models with censoring
- Residual analysis in the grouped and censored normal linear model
- Specification tests for distributional assumptions in the Tobit model
- Estimation in truncated samples when there is heteroscedasticity
- Maximum score estimation of the stochastic utility model of choice
- On some global measures of the deviations of density function estimates
- Distribution-Free Maximum Likelihood Estimator of the Binary Choice Model
- Investigating Smooth Multiple Regression by the Method of Average Derivatives
- Sufficient Conditions for the Consistency of Maximum Likelihood Estimation Despite Misspecification of Distribution in Multinomial Discrete Choice Models
- Efficiency Bounds for Distribution-Free Estimators of the Binary Choice and the Censored Regression Models
- Nonparametric and Districtuion-Free Estimation of the Binary Threshold Crossing and The Binary Choice Models
- A Smoothed Maximum Score Estimator for the Binary Response Model
- Semiparametric Estimation of Index Coefficients
- An Efficient Semiparametric Estimator for Binary Response Models
- Maximum Likelihood Estimation of Misspecified Models
- Economic development, growth of human capital, and the dynamics of the wage structure.
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