The general consensus among health economists is that the increasing capability of medical providers-often called medical "technology"-is responsible for the majority of growth in medical expenditure. And yet, the principle means of understanding medical technology is through the use of total...

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...

This paper empirically examines the impact of corruption on FDI in European Union countries, including candidate countries. Our aim is to verify whether Efficient Grease Hypothesis does hold in the case of the EU. Contrary to the Hypothesis, we find that corruption has a negative impact on FDI....

Cross-country regressions suggest that urbanization and FDI are important drivers of growth. However, it is not clear that primacy eventually hurts growth performance. Since it is tough to interpret cross-country growth regressions, we provide detailed evidence on the determinants of outward FDI...

This paper assesses the impact of the 2008-09 global financial and economic crisis on the medium-term growth prospects of the countries of central and eastern Europe, the Caucasus and Central Asia, which began an economic transition about two decades ago. We use cross-country growth regressions,...

The regional development policy in Brazil materializes mainly in the regional development funds for the north-east (FNE), the north (FNO), and the centre-west (FCO), in which more than EUR36 billion was invested between 2004 and 2010. This paper examines the economic effect of these regional...

There are evidences that the actual global crisis affected the convergence process in EU. Generally, just new adhered countries were more affected by the actual crisis. Today all forecasts are suffering by uncertainty. Last time, economists, with their methods and models, are invoked for actual...

This paper offers two innovations for empirical growth research. First, the paper discusses principal components augmented regressions to take into account all available information in well-behaved regressions. Second, the paper proposes a frequentist model averaging framework as an alternative...

This paper models total factor productivity (TFP) in space and proposes an empirical model for TFP interdependence across spatial locations. The interdependence is assumed to occur due to age-structured human capital dynamics. A semi-parametric spatial vector autoregressive framework is...

This paper uses the adaptive LASSO estimator to determine the variables important for economic growth. The adaptive LASSO estimator is a computationally very simple procedure that performs at the same time both consistent parameter estimation and model selection. The methodology is applied to...