This article re-examines the relationship between growth in per capita income and environmental degradation using econometric techniques appropriate for smooth transition regressions with panel data. This is a more intuitive and flexible methodology than the polynomial models widely used in the...

We use historical data that cover more than one century on real GDP for industrial countries and employ the Pesaran panel unit root test that allows for cross-sectional dependence to test for a unit root on real GDP. At first, we find strong evidence against the unit root null. Our results seem...

This paper adopts quantile regressions to scrutinize the realized stock–bond correlation based upon high frequency returns. The paper provides in-sample and out-of-sample analysis and considers factors constructed from a large number of macro-finance predictors well-known from the return...

This paper explores the time variation in the stock–bond correlation using high-frequency data. Gradual transitions between regimes of negative and positive stock–bond correlation are well accommodated by the smooth transition regression (STR) model. We find that the regimes are...

We explore the idea of regime switching as a new methodological approach in the analysis of the emission-income relationship. We formalize the idea by using a simple static model of profit maximization where above a threshold income level a more stringent environmental policy could induce a...

In this paper we examine the out-of-sample forecast performance of high-yield credit spreads for real-time and revised data regarding employment and industrial production in the US. We evaluate models using both a point forecast and a probability forecast exercise. Our main findings suggest that...

We provide evidence on the nature of co-movement in monthly US and UK stock returns by investigating time-varying correlations in returns since 1980. There is a marked increase in correlations between these markets around 2000, which we attribute to globalization and model with a time-varying...