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On the Heterogeneity Bias of Pooled Estimators in Stationary VAR Specifications Author info | Abstract | Publisher info | Download info | Related research | Statistics Alessandro Rebucci
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This paper studies asymptotically the bias of the fixed effect (FE) estimator induced by cross-section heterogeneity in the slope parameters of stationary vector autoregressions (VARs). The paper also compares the FE, the mean group estimator (MG), and a simple instrumental variable alternative (IV) in Monte Carlo simulations. The main results are: (i) asymptotically, the heterogeneity bias of the FE may be more or less severe in VAR specifications than in standard dynamic panel data specifications; (ii) in Monte Carlo simulations, slope heterogeneity must be relatively high to be a source of concern for pooled estimators; (iii) when this happens, the panel must be longer than a typical macro dataset for the MG to be a viable solution.
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Paper provided by International Monetary Fund in its series IMF Working Papers with number
03/73.
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Length: 44 pages
Date of creation: 22 Apr 2003Date of revision:
Handle: RePEc:imf:imfwpa:03/73Contact details of provider: Postal: International Monetary Fund, Washington, DC USA Phone: (202) 623-7000 Fax: (202) 623-4661 Email: Web page: http://www.imf.org/external/pubind.htm More information through EDIRC
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Keywords: Economic models ; Exchange risk ; References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.:
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