Concerns for environmental quality and its impact on people's welfare are fundamental arguments for the adoption of environmental legislation in most countries. In this paper, we analyse the relationship between air quality and subjective well-being in Europe. We use a unique dataset that merges...

In the context of the great turmoil in the financial markets caused by the COVID-19 pandemic, the predictability of daily infectious diseases-related uncertainty (EMVID) for international stock markets volatilities is examined using heterogeneous autoregressive realised variance (HAR-RV) models....

We revisit the twin deficits hypothesis by examining the long-run cointegrating relationship between the US budget and trade deficits across various quantiles using a unique dataset for the period 1791-2013. The main results suggest the existence of nonlinearities and structural breaks in the...

Hedonic wage regressions show little evidence that European workers facing larger job risks and other workplace disamenities receive higher wages. On the other hand, workers in more risky or unpleasant jobs are less satisfied with their jobs, ceteris paribus. If labor markets were perfectly...

A growing literature in economics uses subjective well-being data collected in surveys as a proxy for utility. Environmental economists have combined these data with the public goods experienced by respondents using a novel non-market valuation approach: the experienced preference approach. In...

This article reviews the literature on the economic impacts of disasters caused by extreme weather and climate events to draw lessons on how societies can better manage these risks. While evidence that richer, better governed societies suffer less and recover faster from climate extremes...

Recent years have seen a sharp increase in the use of subjective well-being data in environmental economics. This article discusses the conceptual underpinnings of using such data as a tool for preference elicitation and non-market valuation. Given the connection of those data to the notion of...

This paper considers a general model which allows for both deterministic and stochastic forms of seasonality, including fractional (stationary and nonstationary) orders of integration, and also incorporating endogenously determined structural breaks. Monte Carlo analysis shows that the suggested...

This paper proposes a very general time series framework to capture the long-run behaviour of financial series. The suggested model includes linear and non-linear time trends, and stationary and nonstationary processes based on integer and/or fractional degrees of differentiation. Moreover, the...