This paper develops an innovative way of estimating a functional-coefficient spatial autoregressive panel data model with unobserved individual effects which can accommodate (multiple) time-invariant regressors in the model with a large number of cross-sectional units and a fixed number of time...

This paper considers a flexible panel data sample selection model in which (i) the outcome equation is permitted to take a semiparametric, varying coefficient form to capture potential parameter heterogeneity in the relationship of interest, (ii) both the outcome and (parametric) selection...

This paper considers a flexible semiparametric spatial autoregressive (mixed-regressive) model in which unknown coefficients are permitted to be nonparametric functions of some contextual variables to allow for potential nonlinearities and parameter heterogeneity in the spatial relationship....

The pollution-convergence hypothesis is formalized in a neoclassical growth model with optimal emissions reduction: pollution growth rates are positively correlated with output growth (scale effect) but negatively correlated with emission levels (defensive effect). This dynamic law is...

The purpose of this study is to investigate the causal effects of governments’ social distancing measures to curb the spread of the ongoing SARS-COV-2 outbreak on the hotel industry of major tourist destinations (France, Greece, Italy, Spain, Portugal, and Turkey). The empirical analysis...

The scope of this note is to investigate the causal effects of the COVID-19 pandemic on life expectancy over a sample of 47 countries split into two groups. The first one includes countries that have adopted general lockdown measures (treatment group), while the second one consists of countries...

The scope of this study is to shed light on the determinants of the time gap between the publication of a Nobel discovery and the bestowment of the prize across three science fields (Physics, Chemistry, and Medicine). The econometric evidence supports that the delay gap is inversely related to...

The scope of this paper is to assess the impact of competition on industrial toxic pollution by using for the first time, a panel threshold model which allows evaluating the main drivers of toxic releases under two different market regimes. The empirical analysis is based on a micro level panel...

The study applies the probabilistic framework of nonparametric frontier estimation in order to model the effect of competitive conditions on sectors’ production efficiency levels. We utilize conditional Order-m robust frontiers modeling the dynamic effects of competitive conditions on a sample...

We employ a pooled panel threshold model along the lines of Seo and Shin (2016) within an error correction framework to re-investigate the “rockets and feathers” hypothesis. The empirical results confirm the superiority of the threshold model compared to the baseline linear specifications,...