Several lessons learned from a Bayesian analysis of basic economic time series models by means of the Gibbs sampling algorithm are presented. Models include the Cochrane-Orcutt model for serial correlation, the Koyck distributed lag model, the Unit Root model, the Instrumental Variables model...

The finite sample behaviour is analysed of particular least squares (LS) and method of moments (MM) estimators in panel data models with individual effects and both a lagged dependent variabIe regressor and another explanatory variabIe which may be affected by lagged feedbacks from the dependent...

This paper examines the sources of stickiness in aggregate consumption growth. We first derive a dynamic consumption equation which encompasses many recent developments in consumption theory: habit formation, intertemporal substitution effects, consumption based on current income, and...

The system GMM estimator for dynamic panel data models combines moment conditions for the model in first differences with moment conditions for the model in levels. It has been shown to improve on the GMM estimator in the first differenced model in terms of bias and root mean squared error....

This paper explores the link between trade structure, trade specialization and per capita income growth. It is argued that industrial upgrading in export specialization patterns has a positive long-run growth effect, while the effect of structural change in industrial import patterns is in...

The relative magnitudes are compared of successive terms in a higher-order asymptotic expansion of the bias of the LSDV estimator in dynamic panels. We find that the leading term accounts for the major part of the actual bias in small samples. This implies that bias correction procedures can be...

This paper tests the pro-competitive effect of trade in the product and labour markets of UK manufacturing sectors between 1988 and 2003 using a two-stage estimation procedure. In the first stage, we use data on 9820 firms from twenty manufacturing sectors to simultaneously estimate mark-up and...

Because of heterogeneity across regions, economic policy measures are increasingly targeted at the regional level. As a result, the need for economic forecasts at a sub-national level is rapidly increasing. The data available to compute regional forecasts is usually based on a pseudo-panel that...

This paper introduces two easy to calculate estimators with desirable properties for the autoregressive parameter in dynamic panel data models. The estimators are (nearly) unbiased and perform satisfactorily even for small samples in either the time-series or cross-section dimension.

This paper introduces a new estimator for the fixed effects dynamic panel data model with exogenous variables. This estimator does not share some of the drawbacks of recently developed IV and GMM estimators and has a good performance even in small samples. The nearly unbiased estimator is...