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Econometrics Paper
Nonparametric Trending Regression with Cross-Sectional Dependence
Peter M Robinson
January 2010
Paper No' EM/2010/553:
Full Paper (pdf)

JEL Classification: C13; C14; C23

Tags: panel data; nonparametric time trend; cross-sectional dependence; generalized least squares; optimal bandwidthw

Panel data, whose series length T is large but whose cross-section size N need not be, are assumed to have a common time trend. The time trend is of unknown form, the model includes additive, unknown, individual-specific components, and we allow for spatial or other cross-sectional dependence and/or heteroscedasticity. A simple smoothed nonparametric trend estimate is shown to be dominated by an estimate which exploits the availability of cross-sectional data. Asymptotically optimal choices of bandwidth are justified for both estimates. Feasible optimal bandwidths, and feasible optimal trend estimates, are asymptotically justified, the finite sample performance of the latter being examined in a Monte Carlo study. A number of potential extensions are discussed.