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Bias-corrected estimation of panel vector autoregressions

 

Notice

Type:   Working paper
 
Titre:   Bias-corrected estimation of panel vector autoregressions
 
Auteur(s):   Jochmans, Koen (1982-...) - Département d'économie (Auteur)
Dhaene, Geert - KU Leuven (Auteur)
 
Date de publication:   2015-07
 
Collection:   Sciences Po Economics Discussion Papers  :  2015-06
 
Mots-clés:   [en] bias correction, fixed effects, panel data, vector autoregression
 
Résumé:   [en] We derive bias-corrected least-squares estimators of panel vector autoregressions with fixed effects. The correction is straightforward to implement and yields an estimator that is asymptotically unbiased under asymptotics where the number of time series observations grows at the same rate as the number of cross-sectional observations. This makes the estimator well suited for most macroeconomic data sets. Simulation results show that the estimator yields substantial improvements over within-group least-squares estimation. We illustrate the bias correction in a study of the relation between the unemployment rate and the economic growth rate at the U.S. state level.
 
 

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