cointegration are provided. As a first application, we give analyticalcorroboration of the conjecture that the finite sample … coefficient. Hence, the notionof near cointegration helps to bridge the gap between the polar cases ofspurious regression and … cointegration. Secondly, we characterize theproperties of conventional cointegration methods under near cointegration …

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 …

When analyzing panel data using regression models, it is often reasonable to allow for time-varying covariate effects …. We propose a novel approach to modelling timevarying coefficients in panel data regressions, which is based on penalized …

, organized in a panel data structure. In this paper, we investigate the consequences of applying such methodologies when the data … are formed by integrated process of order 1. We find that without a cointegration relation (spurious case) the …. Whereas, for the case when at least one cointegration relation exists, we have a T-consistent estimator for the intervention …