This paper aims at analysing the effect of democratic institutions on environmental quality (carbon dioxide per capita, sulfure dioxide per capita) and at identifying potential channel transmissions. We use panel data from 1960 to 2008 in 122 developing and developed countries and modern...

This paper aims at analysing the effect of democratic institutions on environmental quality (carbon dioxide per capita, sulfure dioxide per capita) and at identifying potential channel transmissions. We use panel data from 1960 to 2008 in 122 developing and developed countries and modern...

As in any modern economy, trade is central to the progress of the economy in the Association of Southeast Asian Countries (ASEAN) region, but environmental degradation occurs with globalization. Using panel data from the period 1970–2006, this study examines the interaction between trade and...

We present results of a household-level survey on behaviors regarding refuses in the home waste-waters network. Interpreting survey results in a panel-data logit results show that most socio-economic and public good-related respondent’s characteristics do not play a significant role in...

The objectives of this paper are to study the impact of liberalisation on trade deficits and current accounts of developing countries. It is expected that trade liberalisation would promote economic growth from the supply side by leading to a more efficient use of resources, by encouraging...

An autoregressive fixed effects panel data equation in error-ridden endogenous and exogenous variables, with finite memory of disturbances, latent regressors and measurement errors is considered. Finite sample properties of GMM estimators are explored by Monte Carlo (MC) simulations. Two kinds...

The Generalized Method of Moments (GMM) is discussed for handling the joint occurrence of fixed effects and random measurement errors in an autoregressive panel data model. Finite memory of disturbances, latent regressors and measurement errors is assumed. Two specializations of GMM are...

GMM estimation of autoregressive panel data equations in error-ridden variables when the noise has memory, is considered. The impact of variation in the memory length in signal and noise spread and in the degree of individual heterogeneity are discussed with respect to finite sample bias, using...

In panel experiments, we randomly assign units to different interventions, measuring their outcomes, and repeating the procedure in several periods. Using the potential outcomes framework, we define finite population dynamic causal effects that capture the relative effectiveness of alternative...