Nonparametric identification of a binary random factor in cross section data
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- Yingying Dong & Arthur Lewbel, 2009. "Nonparametric Identification of a Binary Random Factor in Cross Section Data," Boston College Working Papers in Economics 707, Boston College Department of Economics, revised 01 Jul 2010.
- Yingyong Dong & Arthur Lewbel, 2009. "Nonparametric identification of a binary random factor in cross section data," CeMMAP working papers CWP16/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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- Park, Byeong U. & Simar, Léopold & Zelenyuk, Valentin, 2017.
"Nonparametric estimation of dynamic discrete choice models for time series data,"
Computational Statistics & Data Analysis, Elsevier, vol. 108(C), pages 97-120.
- Byeong U. Park & Leopold Simar & Valentin Zelenyuk, 2016. "Nonparametric Estimation of Dynamic Discrete Choice Models for Time Series Data," CEPA Working Papers Series WP062016, School of Economics, University of Queensland, Australia.
- Park, Byeong U. & Simar, Leopold & Zelenyuk, Valentin, 2017. "Nonparametric estimation of dynamic discrete choice models for time series data," LIDAM Reprints ISBA 2017011, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Dong, Yingying, 2011.
"Semiparametric binary random effects models: Estimating two types of drinking behavior,"
Economics Letters, Elsevier, vol. 112(1), pages 79-81, July.
- Dong, Yingying, 2010. "Semiparametric Binary Random Effects Models: Estimating Two Types of Drinking Behavior," MPRA Paper 25425, University Library of Munich, Germany.
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More about this item
Keywords
Mixture model Random effects Binary Unobserved factor Unobserved regressor Nonparametric identification Deconvolution Treatment;JEL classification:
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
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