We employ a non-parametric modelling technique to examine the time-varying impact of
renewable and non-renewable energy consumption on economic growth. The specific …

We examine the relationship between oil prices and economic policy uncertainty in G7
countries. To do so, we employ a nonparametric panel data technique that allows the trend …

The majority of empirical research in economics ignores the potential benefits of
nonparametric methods, while the majority of advances in nonparametric theory ignores the …

A gap in the transportation-environment literature is the absence of studies analysing the
effect of transport infrastructure on carbon dioxide (CO 2) emissions, controlling for other …

We examine the effect of income inequality on renewable energy consumption, and its
disaggregated components, for a panel of 17 nations over the period 1990 to 2016. We …

We examine whether income inequality effected carbon emissions in what are now the
world's wealthiest countries over the period 1870–2014. Employing a non-parametric panel …

This article shows how the migration of millions of Southern whites in the twentieth century
shaped the cultural and political landscape across the United States. Racially and …

Renovative energies are often presented as the primary alternative for addressing the
climate challenge. This paper proposes a non-parametric method to study the relationship …

In this article we overview nonparametric (spline and kernel) regression methods and
illustrate how they may be used in labor economics applications. We focus our attention on …

We examine the time-varying effect of energy technology R&D spending (R&D) on energy
consumption per capita. In doing so, we utilise a data-driven local linear dummy variable …