We use a Monte Carlo approach to investigate the performance of several different methods designed to reduce the bias of the estimated coefficients for dynamic panel data models estimated with the longer, narrower panels typical of macro data. We find that the bias of the least squares dummy...

Since little is known about the degree of bias in estimated fixed effects in panel data models, we run Monte Carlo simulations on a range of different estimators. We find that Anderson-Hsiao IV, Kiviet’s bias-corrected LSDV and GMM estimators all perform well in both short and long panels....

Since little is known about the degree of bias in estimated fixed effects in panel data models, we run Monte Carlo simulations on a range of different estimators. We find that Anderson-Hsiao IV, Kiviet's bias-corrected LSDV and GMM estimators all perform well in both short and long panels....

We develop an econometric methodology to infer the path of risk premia from large unbalancedpanel of individual stock returns. We estimate the time-varying risk premia implied by conditional linearasset pricing models where the conditioning includes instruments common to all assets and asset...

We use a dynamic framework and panel methodology to investigate the determinants of a firms' time-varying capital structure. Our sample comprises 706 European firms from France, Germany, Italy and the U.K. over the period from 1983 to 2002. If capital structure adjustment is costly, firms may...

We use a dynamic framework and panel methodology to investigate the determinants of a time-varying corporate capital structure. Our sample comprises 706 European firms from France, Germany, Italy and the U.K. over the period from 1983 to 2002. If capital structure adjustment is costly, firms may...

Our paper introduces a new estimation method for arbitrary temporal heterogeneityin panel data models. The paper provides a semiparametric method for estimatinggeneral patterns of cross-sectional specific time trends. The methods proposed in thepaper are related to principal component analysis...

Understanding adjustment processes has become central in economics. Empirical analysisis fraught with the problem that the target is usually unobserved. This paper develops,simulates and applies GMM methods for estimating dynamic adjustment models ina panel data context with partially unobserved...

We assess the fiscal behaviour in the European Union countries for the period 1990-2005 via the responsiveness of budget balances to several determinants. The resultsshow that the existence of effective fiscal rules, the degree of public spendingdecentralization, and the electoral cycle can...

We reappraise the relationship between productivity and equilibrium real exchangerates using a panel estimation framework that incorporates a large number ofcountries and importantly, a dataset that allows explicit consideration of the role ofnon-traded, as well as traded, sector productivity...