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Estimating the trade and welfare effects of Brexit : a panel data structural gravity model
Oberhofer, Harald; Pfaffermayr, Michael - 2018
This paper proposes a new panel data structural gravity approach for estimating the trade and welfare effects of Brexit …
Persistent link: https://www.econbiz.de/10011924871
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Partial effects estimation for fixed-effects logit panel data models
Bartolucci, Francesco; Pigini, Claudia - 2018
Persistent link: https://www.econbiz.de/10011914511
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Composite likelihood estimation of an autoregressive panel probit model with random effects
Tuzcuoglu, Kerem - 2019
Modeling and estimating persistent discrete data can be challenging. In this paper, we use an autoregressive panel …
Persistent link: https://www.econbiz.de/10012000117
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On the estimation of causality in a bivariate dynamic probit model on panel data with stata software : a technical review
Moussa, Richard; Delattre, Eric - In: Theoretical economics letters 8 (2018) 6, pp. 1257-1278
Persistent link: https://www.econbiz.de/10011888210
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Estimating the trade and welfare effects of Brexit : a panel data structural gravity model
Oberhofer, Harald; Pfaffermayr, Michael - 2017
This paper proposes a new panel data structural gravity approach for estimating the trade and welfare effects of Brexit …
Persistent link: https://www.econbiz.de/10011775646
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Second-order corrected likelihood for nonlinear models with fixed effects
Sun, Yutao - 2016
Persistent link: https://www.econbiz.de/10011707031
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Estimating the trade and welfare effects of brexit : a panel data structural gravity model
Oberhofer, Harald; Pfaffermayr, Michael - 2017
This paper proposes a new panel data structural gravity approach for estimating the trade and welfare effects of Brexit …
Persistent link: https://www.econbiz.de/10011781959
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Estimating SUR system with random coefficients : the unbalanced panel data case
Biørn, Erik - In: Empirical economics : a journal of the Institute for … 47 (2014) 2, pp. 451-468
Persistent link: https://www.econbiz.de/10010391164
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Modified profile likelihood for fixed-effects panel data models
Bartolucci, Francesco; Bellio, R.; Salvan, A.; Sartori, N. - In: Econometric reviews 35 (2016) 5/7, pp. 1271-1289
Persistent link: https://www.econbiz.de/10011591243
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When, where and how to estimate persistent and transient efficiency in stochastic frontier panel data models
Badunkenko, Oleg; Kumbhakar, Subal - In: European journal of operational research : EJOR 255 (2016) 1, pp. 272-287
Persistent link: https://www.econbiz.de/10011530868