IDENTIFYING LATENT GROUPED PATTERNS IN COINTEGRATED PANELS

Purchasing Power Parity Tests in Cointegrated Panels

This paper employs recently developed techniques for testing hypotheses in cointegrated panels to test the strong version of purchasing power parity for a panel of post Bretton Woods data. We compare results using fully modiŽ ed and dynamic OLS approaches , and strongly reject the hypothesis . We also introduce a new between-dimensio n dynamic OLS estimator and Ž nd that the between-dimensio n ...

Fully Modified Ols for Heterogeneous Cointegrated Panels

This chapter uses fully modified OLS principles to develop new methods for estimating and testing hypotheses for cointegrating vectors in dynamic panels in a manner that is consistent with the degree of cross sectional heterogeneity that has been permitted in recent panel unit root and panel cointegration studies. The asymptotic properties of various estimators are compared based on pooling alo...

Finance and Growth: An Analysis of Causality for Cointegrated Panels

Latent factor regression models for grouped outcomes.

We consider regression models for multiple correlated outcomes, where the outcomes are nested in domains. We show that random effect models for this nested situation fit into a standard factor model framework, which leads us to view the modeling options as a spectrum between parsimonious random effect multiple outcomes models and more general continuous latent factor models. We introduce a set ...

Identifying, Estimating and Testing Restricted Cointegrated Systems: An Overview∗

The notion of cointegration has lead to a renewed interest in the identification and estimation of structural relations among economic time series, a field to which Henri Theil has made many pioneering contributions. This paper reviews the different approaches that have been put forward in the literature for identifying cointegrating relationships and imposing (possibly over-identifying) restri...