Accurate estimation of the dominant root of a stationary but persistent time series are required to determine the speed at which economic time series, such as real exchange rates or interest rates, adjust towards their mean values. In practice, accuracy is hampered by downward small- sample...

Our study revisits Beck and Katz’ (1995) comparison of the Parks and PCSE estimators using time-series, cross-sectional data (TSCS). Our innovation is that we construct simulated statistical environments that are designed to closely match “real-world,” TSCS data. We pattern our statistical...

A particularly useful approach for analyzing pooled cross sectional and time series data is Swamy's random coefficient panel data (RCPD) model. This paper examines the performance of Swamy's estimators and tests associated with this model by using Monte Carlo simulation. The Monte Carlo study...

In this paper, we study the asymptotic distributions for least-squares (OLS), fully modified (FM), and dynamic OLS\ (DOLS) estimators in cointegrated regression models in panel data. We show that the OLS, FM, and DOLS estimators are all asymptotically normally distributed. However, the...

This paper analyzes the spillovers of higher U.S. interest rates on economic activity in a large panel of 50 advanced and emerging economies. We allow the response of GDP in each country to vary according to its exchange rate regime, trade openness, and a vulnerability index that includes...

In this paper we build up the analysis of La Porta et al. (1998), to investigate the importance of legal families in explaining the variations in pollution emissions in different countries. The main intuition behind our analysis is that the nations in which the rights of shareholders are more...

In this paper we build up the analysis of La Porta et al. (1998), to investigate the importance of legal families in explaining the variations in pollution emissions in different countries. The main intuition behind our analysis is that the nations in which the rights of shareholders are more...

Starting from a system of factor demands, an empirical model that allows estimating factor-augmenting technical change is derived. Factor-augmenting technical change is defined as the improvement in factor productivities that can occur either exogenously or endogenously, with changes in other...