This paper puts forward a new instrumental variables (IV) approach for linear panel datamodels with interactive effects in the error term and regressors. The instruments are transformed regressors and so it is not necessary to search for external instruments. The proposed method asymptotically...

This paper is concerned with various issues related to inference in large dynamic panel data models (where both n and T increase without bound) in the presence of, possibly, strong cross-sectional dependence. Our first aim is to provide a Central Limit Theorem for estimators of the slope...

This paper puts forward a new instrumental variables (IV) approach for linear panel datamodels with interactive effects in the error term and regressors. The instruments are transformed regressors and so it is not necessary to search for external instruments. The proposed method asymptotically...

This study examines differences in the interest rate response to an ECB policy impulse in the euro area, the new EU-member states, and in the other non-eurozone EU countries in order to gauge the degree of interest rate alignment in Europe. To this end, PANIC, a Panel Analysis of...

This study examines differences in the interest rate response to an ECB policy impulse in the euro area, the new EU-member states, and in the other non-eurozone EU countries in order to gauge the degree of interest rate alignment in Europe. To this end, PANIC, a Panel Analysis of...

The interest in empirical studies of monetary policy has increased in the last decade. The deregulation of financial markets and the increased use of explicit policy rules and targets have made monetary policy more transparent and interesting for economic analysis. This paper demonstrates how a...

In this paper, we develop tests for structural change in cointegrated panel regressions with common and idiosyncratic trends. We consider both the cases of observable and nonobservable common trends, deriving a Functional Central Limit Theorem for the partial sample estimators under the null of...