This paper extends the analysis of infinite dimensional vector autoregressive models (IVAR) proposed in Chudik and Pesaran (2010) to the case where one of the variables or the cross section units in the IVAR model is dominant or pervasive. This extension is not straightforward and involves...

This paper introduces a novel approach for dealing with the curse of dimensionality in thecase of large linear dynamic systems. Restrictions on the coefficients of an unrestricted VARare proposed that are binding only in a limit as the number of endogenous variables tends toinfinity...

This paper considers the statistical analysis of large panel data sets where even afterconditioning on common observed effects the cross section units might remain dependentlydistributed. This could arise when the cross section units are subject to unobserved commoneffects and/or if there are...