this paper investigates the effects of globalization, (export+import)/gdp, tariffs, total factor productivity and per capita capital stock on industrial profitability. we employ the price-wage gap as a proxy for profitability. data used has been made of pooled mean group estimation of dynamic heterogeneous panel, a technique recently developed in dynamic panel data literature. our results show ...

in the recent years, renewable energy sources are an important component of world energy consumption. gdp is one of the main measures of a country’s economic activity. most of the studies examine the impact of renewable energy consumption on gdp with single equation model and the others use dynamic panel data. since the granger causality analysis’s findings of this paper establish bidirectional...

This paper stresses the links that exist between concepts that are used in the theory of model reduction and concepts that arise in the missing data literature. This connection motivates the extension of the missing at random (MAR) and the missing completely at random (MCAR) concepts from a static setting, as introduced by Rubin (1976), to the case of dynamic panel data models. Using this exten...

T.W. Anderson and his collaborators have made seminal contributions to inference with instrumental variables and to dynamic panel data models. We review these contributions and the extensive economic and statistical literature that these contributions spawned. We describe our recent work in these two areas, presenting new approaches to (a) making valid inferences in the presence of weak instrum...

This paper studies estimation and inference in a quantile regression dynamic panel model with fixed effects. Panel data fixed effects estimators are typically biased in the presence of lagged dependent variables as regressors. To reduce the dynamic bias in the quantile regression panel data model I develop an instrumental variables approach that employs lagged regressors as instruments. I show ...