This paper identifies key determinants of individual, school, and quality of education outcomes and examines related policies, strategies, and project intervention to recommend reforms or possible reorientation. Two sets of data were used: (i) data on school resources and outputs from the...

The paper applies the gravity model of international trade in its analysis of German exports. The added value of our research is derived from the innovative shift in focus from the traditional gravity model specifications to the national level in order to interpret its estimations in a...

The purpose of this paper is to examine Austrian foreign trade and estimate the country's export function. The analysis is based on the gravity model of trade in the log-log form, augmented by additional variables in order to control for the impact of institutions on decision-making. Our panel...

This study uses Monte Carlo analysis to investigate the performances of five different meta-analysis (MA) estimators: the Fixed Effects (FE) estimator, the Weighted Least Squares (WLS) estimator, the Random Effects (RE) estimator, the Precision Effect Test (PET) estimator, and the Precision...

Many studies use matched employer-employee data to estimate a statistical model of earnings determination where log-earnings are expressed as the sum of worker effects, firm effects, covariates, and idiosyncratic error terms. Estimates based on this model have produced two influential yet...

As the world battles with the triple problems of social, economic, and environmental challenges, it has become important to focus both policy and research efforts on these. Therefore, this study examines the effect of wealth inequality on CO2 emissions in five emerging economies: Brazil, Russia,...

Often, the moment of a treatment and the moment at which the outcome of interest occurs are realizations of stochastic processes with dependent unobserved determinants. Notably, both treatment and outcome are characterized by the moment they occur. We compare different methods of inference of...

We distinguish between three types of outliers in a one-way random effects model. These are formally described in terms of their position relative to the main part of the observations. We propose simple rules for identifying such outliers and give an example which involves median-based statistics.

Total Factor Productivity (TFP)is often used on the macro-economic level as an indicator of changes in efficiency of a country. In many transition economies TFP is seen to have been negative the last decade of the plan economy and starts increasing and become positive after a (quite a) few years...