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Maximum score estimation with nonparametrically generated regressors

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Publication:5093238
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DOI10.1111/ECTJ.12034OpenAlexW2235904564MaRDI QIDQ5093238

Sokbae Lee, Myung Jae Sung, Le-Yu Chen

Publication date: 26 July 2022

Published in: The Econometrics Journal (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10419/111378


zbMATH Keywords

\(M\)-estimationdiscrete choicemaximum score estimationcube root asymptoticsgenerated regressorpreference parameters


Mathematics Subject Classification ID

Statistics (62-XX)


Related Items (6)

Best subset binary prediction ⋮ Nonparametric analysis of a duration model with stochastic unobserved heterogeneity ⋮ Binary quantile regression with local polynomial smoothing ⋮ Distribution theory for the analysis of binary choice under uncertainty with nonparametric estimation of expectations ⋮ Sample selection models with monotone control functions ⋮ Smoothed maximum score estimation with nonparametrically generated covariates







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