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Estimation and Inference in Short Panel Vector Autoregressions with Unit Roots and Cointegration Author info | Abstract | Publisher info | Download info | Related research | Statistics Michael Binder
Cheng Hsiao
M. Hashem Pesaran
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This paper considers estimation and inference in panel vector autoregressions with fixed effects when the time dimension of the panel is finite, and the cross-sectional dimension is large. A Maximum Likelihood estimator based on a transformed likelihood function is proposed and shown to be consistent and asymptotically normally distributed irrespective of the unit root and cointegrating properties of the underlying PVAR model.
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Paper provided by Banco de España in its series Banco de España Working Papers with number
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Length: 69 pages
Date of creation: 2000Date of revision:
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Article Paper Michael Binder & Cheng Hsiao & M. Hashem Pesaran, 2000.
"Estimation and Inference In Short Panel Vector Autoregressions with Unit Roots And Cointegration ,"
CESifo Working Paper Series
CESifo Working Paper No. , CESifo Group Munich.
[Downloadable!] Michael Binder, Cheng Hsiao, and M. Hashem Pesaran, 2001.
"Estimation and Inference in Short Panel Vector Autoregressions with Unit Roots and Cointegration ,"
Computing in Economics and Finance 2001
36, Society for Computational Economics.
[Downloadable!] Binder, M. & Hsaio, C. & Pesaran, M.H., 2000.
"Estimation and Inference in Short Panel Vector Autoregressions with Unit Roots and Cointegration ,"
Cambridge Working Papers in Economics
0003, Faculty of Economics, University of Cambridge.
[Downloadable!] Find related papers by JEL classification: C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
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repec:cup:etheor:v:11:y:1995:i:3:p:530-36 is not listed on IDEAS
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