This study uses 1971-2013 panel data to explore the implications of growth, wealth disparities and energy consumption on carbon emissions in a sample of Next-Eleven (N-11) countries. It uses modern econometric techniques to highlight a long-run interplay between selected variables in the carbon...

In line with the neoclassical growth model a persistent stream of oil revenues might have a long lasting impact on GDP per capita in oil exporting countries through higher investment activities. This relationship is explored for Iran and the countries of the Gulf Cooperation Council (GCC) using...

In empirical research, measuring correctly the benefits of welfare interventions is incredibly relevant for policymakers as well as academic researchers. Unfortunately, the endogenous program participation is often misreported in survey data and standard instrumental variable techniques are not...

To study the causal impact of smartphone use on academic performance, we collected - for the first time worldwide - longitudinal data on students' smartphone use and educational performance. For three consecutive years we surveyed all students attending classes in eleven different study...

We present the first systematic review of the scientific literature on smartphone use and academic success. We synthesise the theoretical mechanisms, empirical approaches, and empirical findings described in the multidisciplinary literature to date. Our analysis of the literature reveals a...

This paper examines the econometric causal model for policy analysis developed by the seminal ideas of Ragnar Frisch and Trygve Haavelmo. We compare the econometric causal model with two popular causal frameworks: Neyman-Holland causal model and the do-calculus. The Neyman-Holland causal model...

We study whether living in a student room as a tertiary education student (instead of commuting between one's parental residence and college or university) affects exam results. To the best of our knowledge, we are the first to study this relationship beyond cross-sectional analysis. That is, we...

Estimators of average treatment effects under unconfounded treatment assignment are known to become rather imprecise if there is limited overlap in the covariate distributions between the treatment groups. But such limited overlap can also have a detrimental effect on inference, and lead for...

Studies using education policy reforms to isolate causal effects of education on health produce mixed evidence. We analyse an unusually large sample and study chronic health conditions. For identification, we use two major education reforms, one that raised the minimum school leaving age and one...