Semiparametric estimation and efficiency bounds of binary choice models when the models contain one continuous variable
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Publication:1676591
DOI10.1016/0165-1765(89)90105-5zbMath1376.62112OpenAlexW1981948503MaRDI QIDQ1676591
Publication date: 9 November 2017
Published in: Economics Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0165-1765(89)90105-5
Applications of statistics to economics (62P20) Nonparametric regression and quantile regression (62G08)
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Cites Work
- Semiparametric analysis of discrete response. Asymptotic properties of the maximum score estimator
- Asymptotic efficiency in semi-parametric models with censoring
- Non-parametric analysis of a generalized regression model. The maximum rank correlation estimator
- Maximum score estimation of the stochastic utility model of choice
- Probability Inequalities for the Sum of Independent Random Variables
- Distribution-Free Maximum Likelihood Estimator of the Binary Choice Model
- Efficiency Bounds for Distribution-Free Estimators of the Binary Choice and the Censored Regression Models
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