Bias-corrected estimation of panel vector autoregressions

© 2016 Elsevier B.V. We derive a bias-corrected least-squares estimator for panel vector autoregressions with fixed effects. The estimator is straightforward to implement and is asymptotically unbiased under asymptotics where the number of time series observations and the number of cross-sectional observations grow at the same rate. This makes the estimator particularly well suited for most macroeconomic data sets.

Publication year:2016

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IOF-keylabel:yes

BOF-publication weight:0.5

CSS-citation score:1

Authors:International

Authors from:Higher Education

Accessibility:Open