Pooled mean group estimation of dynamic heterogeneous panels

M Hashem Pesaran (), Yongcheol Shin () and Ronald Patrick Smith ()

ESE Discussion Papers from Edinburgh School of Economics, University of Edinburgh

Abstract: It is now quite common to have panels in which both T, the number of time series observations, and N, the number of groups, are quite large and of the same order of magnitude. The usual practice is either to estimate N separate regressions and calculate the coefficient means, which we call the Mean Group (MG) estimator, or to pool the data and assume that the slope coefficients and error variances are identical. In this paper, we propose an intermediate procedure, referred to as the Pooled Mean Group (PMG) estimator, which constrains the long run coefficients to be identical, but allows the short run coefficients and error variances to differ across groups. We consider both the case where the regressors are stationary and the case where they follow unit root processes, and for both cases derive the asymptotic distribution of the PMG estimators as T tends to infinity. We also provide two empirical applications: aggregate consumption functions for 24 OECD economies over the period 1962-93, and energy demand functions for 10 Asian developing economies over the period 1974-90.

Keywords: Heterogeneous dynamic panels; pooled mean group estimator; I(0) regressor; I(1) regressor; consumption function; energy demand. (search for similar items in EconPapers)
JEL-codes: C13 C23 C63 E21 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ecm and nep-ets
Date: 2004-09
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Persistent link: http://EconPapers.repec.org/RePEc:edn:esedps:16

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