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The effects of self-assessed health : dealing with and understanding misclassification bias
Chen, Linkun; Clarke, Philip M.; Petrie, Dennis J.; … - In: Journal of health economics 78 (2021), pp. 1-39
Persistent link: https://www.econbiz.de/10013256286
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Some notes on statistic robustness of nonparametric bivariate probit model in a finite sample
Aoki, Takaaki - In: Applied economics letters 16 (2009) 4/6, pp. 443-447
Persistent link: https://www.econbiz.de/10003842474
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Proposed modified probit model incorporating non-parametric density estimation : how to measure asymmetric information in the health insurance market?
Aoki, Takaaki - In: Applied economics letters 12 (2005) 6, pp. 347-350
Persistent link: https://www.econbiz.de/10002840604
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Analysis of microdata : with 41 tables
Winkelmann, Rainer; Boes, Stefan - 2006
Persistent link: https://www.econbiz.de/10003115171
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Semiparametric bayes multiple imputation for regression models with missing mixed continuous-discrete covariates
Kato, Ryo; Hoshino, Takahiro - 2018
Persistent link: https://www.econbiz.de/10011880222
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Nonparametric estimation of dynamic discrete choice models for time series data
Park, Byeong U.; Simar, Léopold; Zelenyuk, Valentin - 2016
Persistent link: https://www.econbiz.de/10011746459
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The bivariate probit model, maximum likelihood estimation, pseudo true parameters and partial identification
Li, Chuhui; Poskitt, Donald Stephen; Zhao, Xueyan - 2016
Persistent link: https://www.econbiz.de/10011781773
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Bias in instrumental-variable estimators of fixed-effect models for count data
Jochmans, Koen; Weidner, Martin - 2021 - This version: October 29, 2021
Persistent link: https://www.econbiz.de/10012698513
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Estimating derivatives in nonseparable models with limited dependent variables
Altonji, Joseph G.; Ichimura, Hidehiko; Otsu, Taisuke - 2008
Persistent link: https://www.econbiz.de/10003739204
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Estimating derivatives in nonseparable models with limited dependent variables
Altonji, Joseph G. (contributor);  … - 2008
censored population. We then correct the derivative for the effects of the selection bias. We propose nonparametric and …
Persistent link: https://www.econbiz.de/10003739704