Determination of different types of fixed effects in three-dimensional panels
In this paper we propose a jackknife method to determine the type of fixed effects in three-dimensional panel data models. We show that with probability approaching 1, the method can select the correct type of fixed effects in the presence of only weak serial or cross-sectional dependence among the...
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sg-smu-ink.soe_research-31852020-04-02T06:59:14Z Determination of different types of fixed effects in three-dimensional panels LU, Xun MIAO, Ke SU, Liangjun In this paper we propose a jackknife method to determine the type of fixed effects in three-dimensional panel data models. We show that with probability approaching 1, the method can select the correct type of fixed effects in the presence of only weak serial or cross-sectional dependence among the error terms. In the presence of strong serial correlation, we propose a modified jackknife method and justify its selection consistency. Monte Carlo simulations demonstrate the excellent finite sample performance of our method. Applications to two datasets in macroeconomics and international trade reveal the usefulness of our method. 2018-04-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/soe_research/2186 https://ink.library.smu.edu.sg/context/soe_research/article/3185/viewcontent/3D_determination_of_fixed_effects20180423B_.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University Consistency Cross-validation Fixed effect Individual effect Jackknife Three-dimensional panel. Econometrics |
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Consistency Cross-validation Fixed effect Individual effect Jackknife Three-dimensional panel. Econometrics LU, Xun MIAO, Ke SU, Liangjun Determination of different types of fixed effects in three-dimensional panels |
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In this paper we propose a jackknife method to determine the type of fixed effects in three-dimensional panel data models. We show that with probability approaching 1, the method can select the correct type of fixed effects in the presence of only weak serial or cross-sectional dependence among the error terms. In the presence of strong serial correlation, we propose a modified jackknife method and justify its selection consistency. Monte Carlo simulations demonstrate the excellent finite sample performance of our method. Applications to two datasets in macroeconomics and international trade reveal the usefulness of our method. |
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text |
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LU, Xun MIAO, Ke SU, Liangjun |
author_facet |
LU, Xun MIAO, Ke SU, Liangjun |
author_sort |
LU, Xun |
title |
Determination of different types of fixed effects in three-dimensional panels |
title_short |
Determination of different types of fixed effects in three-dimensional panels |
title_full |
Determination of different types of fixed effects in three-dimensional panels |
title_fullStr |
Determination of different types of fixed effects in three-dimensional panels |
title_full_unstemmed |
Determination of different types of fixed effects in three-dimensional panels |
title_sort |
determination of different types of fixed effects in three-dimensional panels |
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Institutional Knowledge at Singapore Management University |
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2018 |
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https://ink.library.smu.edu.sg/soe_research/2186 https://ink.library.smu.edu.sg/context/soe_research/article/3185/viewcontent/3D_determination_of_fixed_effects20180423B_.pdf |
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