Identification of mixtures of dynamic discrete choices
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DOI: 10.1016/j.jeconom.2023.04.006
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- Ayden Higgins & Koen Jochmans, 2023. "Identification of Mixtures of Dynamic Discrete Choices," Working Papers hal-04251997, HAL.
- Ayden Higgins & Koen Jochmans, 2023. "Identification of mixtures of dynamic discrete choices," Post-Print hal-04251997, HAL.
- Higgins, Ayden & Jochmans, Koen, 2021. "Identification Of Mixtures Of Dynamic Discrete Choices," TSE Working Papers 21-1272, Toulouse School of Economics (TSE), revised Jan 2023.
References listed on IDEAS
- T. Anderson, 1954. "On estimation of parameters in latent structure analysis," Psychometrika, Springer;The Psychometric Society, vol. 19(1), pages 1-10, March.
- Hu, Yingyao & Shum, Matthew, 2012.
"Nonparametric identification of dynamic models with unobserved state variables,"
Journal of Econometrics, Elsevier, vol. 171(1), pages 32-44.
- Yingyao Hu & Matthew Shum, 2008. "Nonparametric identification of dynamic models with unobserved state variables," CeMMAP working papers CWP13/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Yingyao Hu & Matthew Shum, 2008. "Nonparametric Identification of Dynamic Models with Unobserved State Variables," Economics Working Paper Archive 543, The Johns Hopkins University,Department of Economics.
- Peter Arcidiacono & Robert A. Miller, 2011. "Conditional Choice Probability Estimation of Dynamic Discrete Choice Models With Unobserved Heterogeneity," Econometrica, Econometric Society, vol. 79(6), pages 1823-1867, November.
- Hu, Yingyao, 2008. "Identification and estimation of nonlinear models with misclassification error using instrumental variables: A general solution," Journal of Econometrics, Elsevier, vol. 144(1), pages 27-61, May.
- Keane, Michael P & Wolpin, Kenneth I, 1997.
"The Career Decisions of Young Men,"
Journal of Political Economy, University of Chicago Press, vol. 105(3), pages 473-522, June.
- Michael P. Keane & Kenneth I. Wolpin, 1995. "The career decisions of young men," Working Papers 559, Federal Reserve Bank of Minneapolis.
- Marc Henry & Yuichi Kitamura & Bernard Salanié, 2014. "Partial identification of finite mixtures in econometric models," Quantitative Economics, Econometric Society, vol. 5, pages 123-144, March.
- Victor Aguirregabiria & Pedro Mira, 2007.
"Sequential Estimation of Dynamic Discrete Games,"
Econometrica, Econometric Society, vol. 75(1), pages 1-53, January.
- Victor Aguirregabiria & Pedro Mira, 2004. "Sequential Estimation of Dynamic Discrete Games," Industrial Organization 0406006, University Library of Munich, Germany.
- Víctor Aguirregabiria & Pedro Mira, 2004. "Sequential Estimation of Dynamic Discrete Games," Working Papers wp2004_0413, CEMFI.
- Hiroyuki Kasahara & Katsumi Shimotsu, 2009. "Nonparametric Identification of Finite Mixture Models of Dynamic Discrete Choices," Econometrica, Econometric Society, vol. 77(1), pages 135-175, January.
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Cited by:
- Jochmans, Koen, 2024. "Nonparametric Identification And Estimation of Stochastic Block Models From Many Small Networks”," TSE Working Papers 24-1514, Toulouse School of Economics (TSE).
- Jochmans, Koen & Higgins, Ayden, 2022. "Learning Markov Processes with Latent Variables From Longitudinal Data," TSE Working Papers 22-1366, Toulouse School of Economics (TSE).
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More about this item
Keywords
Discrete choice; Heterogeneity; Markov process; Mixture; State dependence;All these keywords.
JEL classification:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
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