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Estimation of unit root spatial dynamic panel data models
Yu, Jihai; Lee, Lung-fei - In: Econometric theory 26 (2010) 5, pp. 1332-1362
Persistent link: https://www.econbiz.de/10008662668
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A unified estimation approach for spatial dynamic panel data models : stability, spatial co-integration, and explosive roots
Lee, Lung-fei; Yu, Jihai - In: Handbook of empirical economics and finance, (pp. 397-434). 2011
Persistent link: https://www.econbiz.de/10009130112
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Near unit root in the spatial autoregressive model
Lee, Lung-fei; Yu, Jihai - In: Spatial economic analysis : the journal of the Regional … 8 (2013) 3, pp. 314-351
Persistent link: https://www.econbiz.de/10010202709
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QML estimation of spatial dynamic panel data models with time varying spatial weights matrices
Lee, Lung-fei; Yu, Jihai - In: Spatial economic analysis : the journal of the Regional … 7 (2012) 1, pp. 31-74
Persistent link: https://www.econbiz.de/10009564237
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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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Estimation of spatial panels
Lee, Lung-fei; Yu, Jihai - 2011
Persistent link: https://www.econbiz.de/10009124442
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Estimation of spatial autoregressive panel data models with fixed effects
Lee, Lung-fei; Yu, Jihai - In: Journal of econometrics 154 (2010) 2, pp. 165-185
Persistent link: https://www.econbiz.de/10003940092
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Estimation of spatial panel data models with time varying spatial weights matrices
Wang, Wei; Yu, Jihai - In: Economics letters 128 (2015), pp. 95-99
Persistent link: https://www.econbiz.de/10011383029
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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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Bias correction and refined inferences for fixed effects spatial panel data models
Yang, Zhenlin; Yu, Jihai; Liu, Shew Fan - In: Regional science & urban economics 61 (2016), pp. 52-72
Persistent link: https://www.econbiz.de/10011638864