This paper provides a new methodology for the analysis of multiple long run relations in panel data models where the … cross section dimension, n, is large relative to the time series dimension, T. For panel data models with large n … approach is illustrated with an application to key financial variables using an unbalanced panel of US firms from merged CRSP …

This paper considers estimation and inference in panel vector autoregressions (PVARs) with fixed effects when the time … dimension of the panel is finite, and the cross-sectional dimension is large. A Maximum Likelihood (ML) estimator based on a … derive unit root and cointegration tests in panels with short time dimension; these tests have the attractive feature that …

common stochastic trends and common stochastic cycles. When modeling the dynamics of multiple time series for a panel of … investigate the relationships between separation in cointegration and separation in serial correlation common features. Loosely …