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Regime Switching panel data models with interative fixed effects
Cheng, Tingting; Gao, Jiti; Yan, Yayi - 2018
Persistent link: https://www.econbiz.de/10012583620
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Maximum likelihood estimation of dynamic panel threshold models
Ramírez-Rondán, N. R. - In: Econometric reviews 39 (2020) 3, pp. 260-276
Persistent link: https://www.econbiz.de/10012181448
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Initial conditions of dynamic panel data models : on within and between equations
Lee, Lung-fei; Yu, Jihai - In: The econometrics journal 23 (2020) 1, pp. 115-136
Persistent link: https://www.econbiz.de/10012167249
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Dynamic panel data modelling using maximum likelihood : an alternative to Arellano-Bond
Moral-Benito, Enrique; Allison, Paul D.; Williams, Richard - In: Applied economics 51 (2019) 20, pp. 2221-2232
Persistent link: https://www.econbiz.de/10012196670
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Maximum simulated likelihood estimation of the panel sample selection model
Lai, Hung-Pin; Tsay, Wen-jen - In: Econometric reviews 37 (2018) 6/10, pp. 744-759
Persistent link: https://www.econbiz.de/10012040407
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Dynamic panel data modelling using maximum likelihood : an alternative to Arellano-Bond
Moral-Benito, Enrique; Allison, Paul D.; Williams, Richard - 2017
Persistent link: https://www.econbiz.de/10011784141
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Robust standard errors in transformed likelihood estimation of dynamic panel data models
Hayakawa, Kazuhiko; Pesaran, M. Hashem - 2012
Persistent link: https://www.econbiz.de/10009580056
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On uniqueness of the conditional maximum likelihood estimation for a binary panel model
Akashi, Kentaro - In: Economics letters 112 (2011) 2, pp. 148-150
Persistent link: https://www.econbiz.de/10009243377
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Essais en économetrie et économie de l'éducation
Tchuente, Guy - 2014
Persistent link: https://www.econbiz.de/10010516075
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Quasi maximum likelihood estimation of spatial models with heterogeneous coefficients
Aquaro, Michele; Bailey, Natalia; Pesaran, M. Hashem - 2015
This paper considers spatial autoregressive panel data models and extends their analysis to the case where the spatial coefficients differ across the spatial units. It derives conditions under which the spatial coefficients are identified and develops a quasi maximum likelihood (QML) estimation...
Persistent link: https://www.econbiz.de/10011283005