GMM Estimation of Autoregressive Roots Near Unity with Panel Data
Hyungsik Moon () and
Peter Phillips
No 1390, Cowles Foundation Discussion Papers from Cowles Foundation for Research in Economics, Yale University
Abstract:
This paper investigates a generalized method of moments (GMM) approach to the estimation of autoregressive roots near unity with panel data and incidental deterministic trends. Such models arise in empirical econometric studies of firm size and in dynamic panel data modeling with weak instruments. The two moment conditions in the GMM approach are obtained by constructing bias corrections to the score functions under OLS and GLS detrending, respectively. It is shown that the moment condition under GLS detrending corresponds to taking the projected score on the Bhattacharya basis, linking the approach to recent work on projected score methods for models with infinite numbers of nuisance parameters (Waterman and Lindsay, 1998). Assuming that the localizing parameter takes a nonpositive value, we establish consistency of the GMM estimator and find its limiting distribution. A notable new finding is that the GMM estimator has convergence rate n/{1/6}, slower than /n, when the true localizing parameter is zero (i.e., when there is a panel unit root) and the deterministic trends in the panel are linear. These results, which rely on boundary point asymptotics, point to the continued difficulty of distinguishing unit roots from local alternatives, even when there is an infinity of additional data.
Keywords: Bias; boundary point asymptotics; GMM estimation; local to unity; moment conditions; nuisance parameters; panel data; pooled regression; projected score (search for similar items in EconPapers)
JEL-codes: C22 C23 (search for similar items in EconPapers)
Pages: 62 pages
Date: 2003-01
New Economics Papers: this item is included in nep-ecm and nep-ets
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Citations: View citations in EconPapers (1)
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Related works:
Journal Article: GMM Estimation of Autoregressive Roots Near Unity with Panel Data (2004) 
Working Paper: GMM Estimation of Autoregressive Roots Near Unity with Panel Data (2000) 
Working Paper: GMM Estimation of Autoregressive Roots Near Unity with Panel Data (2000) 
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