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Nested random effects estimation in unbalanced panel data
Antweiler, Werner - In: Journal of econometrics 101 (2001) 2, pp. 295-313
Persistent link: https://www.econbiz.de/10001554900
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Micro versus macro cointegration in heterogeneous panels
Trapani, Lorenzo; Urga, Giovanni - In: Journal of econometrics 155 (2010) 1, pp. 1-18
Persistent link: https://www.econbiz.de/10003965373
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Residual based tests for cointegration in dependent panels
Chang, Yoosoon; Nguyen, Chi Mai - In: Journal of econometrics 168 (2012) 2, pp. 504-520
Persistent link: https://www.econbiz.de/10009614609
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Estimation for spatial dynamic panel data with fixed effects : the case of spatial cointegration
Yu, Jihai; Jong, Robert M. de - In: Journal of econometrics 167 (2012) 1, pp. 16-37
Persistent link: https://www.econbiz.de/10009551450
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Joint LM test for homoskedasticity in a one-wa error component model
Baltagi, Badi H.; Bresson, Georges; Pirotte, Alain - In: Journal of econometrics 134 (2006) 2, pp. 401-417
Persistent link: https://www.econbiz.de/10003374325
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Studying co-movements in large multivariate data prior to multivariate modelling
Cubadda, Gianluca; Hecq, Alain W. J.; Palm, Franz C. - In: Journal of econometrics 148 (2009) 1, pp. 25-35
Persistent link: https://www.econbiz.de/10003813089
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Panel cointegration with global stochastic trends
Bai, Jushan; Kao, Chihwa; Ng, Serena - In: Journal of econometrics 149 (2009) 1, pp. 82-99
Persistent link: https://www.econbiz.de/10003833733
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Panel data models with spatially correlated error components
Kapoor, Mudit; Kelejian, Harry H.; Prucha, Ingmar R. - In: Journal of econometrics 140 (2007) 1, pp. 97-130
Persistent link: https://www.econbiz.de/10003579952
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Estimation of fixed effects panel regression models with separable and nonseparable space-time filters
Lee, Lung-fei; Yu, Jihai - In: Journal of econometrics 184 (2015) 1, pp. 174-192
Persistent link: https://www.econbiz.de/10011326795
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Estimation of heterogeneous panels with structural breaks
Baltagi, Badi H.; Feng, Qu; Kao, Chihwa - In: Journal of econometrics 191 (2016) 1, pp. 176-195
Persistent link: https://www.econbiz.de/10011598096