Series Estimation under Cross-sectional Dependence
Jungyoon Lee and Peter M Robinson
Published 25 November 2013
An asymptotic theory is developed for nonparametric and semiparametric series estimation under general cross-sectional dependence and heterogeneity. A uniform rate of consistency, asymptotic normality, and sufficient conditions for convergence, are established, and a data-driven studentization new to cross-sectional data is justifi…ed. The conditions accommodate various cross-sectional settings plausible in economic applications, and apply also to panel and time series data. Strong, as well as weak dependence are covered, and conditional heteroscedasticity is allowed.
Paper Number EM/2013/570:
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JEL Classification: C12; C13; C14; C21