The transition to green energy is considered a necessary condition for sustainable and inclusive development. In this regard, it is necessary to intensify the efforts of the entire society. Household decisions are particularly important as they are the end users of green transformation and have...

The correlation between instruments and explanatory variables is a key determinant of the performance of the instrumental variables estimator. The R-squared from regressing the explanatory variable on the instrument vector is a useful measure of relevance in univariate models, but can be...

We develop novel multivariate time series models using Bayesian additive regression trees that posit nonlinear relationships among macroeconomic variables, their lags, and possibly the lags of the errors. The variance of the errors can be stable, driven by stochastic volatility (SV), or follow a...

This research explores how one may predict the Gross Domestic Product (GDP) of a country using a technique known as multiple linear regression (MLR). Specifically, we explore whether other macroeconomic variables such as population, interest rates, unemployment rates, amongst others, can be used...

This paper examines changes in the Greek wage distribution over 1995-2002 and the role of skills in these changes using a matched employer-employee data set. This data set enables us to account for firm heterogeneity and obtain a more refined picture of the impact of skills. The methodology...