Kilauea volcano is the largest stationary source of SO2 pollution in the United States of America. Moreover, the SO2 that the volcano emits eventually forms particulate matter, another major pollutant. We use this exogenous source of pollution variation to estimate the impact of particulate...

We use the Euler equation to put forward a back-on-the-envelope rule for the global carbon tax based on a two-box carbon cycle with temperature lag, and a constant elasticity of marginal damages with respect to GDP. This tax falls with time impatience and intergenerational inequality aversion...

Climate change must deal with two market failures, global warming and learning by doing in renewable use. The social optimum requires an aggressive renewables subsidy in the near term and a gradually rising carbon tax which falls in long run. As a result, more renewables are used relative to...

We use hedonic prices and purchase quantities to consider what can be learned about household willingness to pay for baskets of organic products and how this varies across households. We use rich scanner data on food purchases by a large number of households to compute household specific lower...

Many studies have used self-reported dyadic data without exploiting the pattern of discordant answers. In this paper we propose a maximum likelihood estimator that deals with mis-reporting in a systematic way. We illustrate the methodology using dyadic data on inter-household transfers from the...

The issue of model uncertainty is central to the empirical study of economic growth. Many recent papers use Bayesian Model Averaging to address model uncertainty, but Ciccone and Jarocinski (2010) have questioned the approach on theoretical and empirical grounds. They argue that a standard...

We provide, for the first time, comparative evidence of the impact of various types of extreme events – natural disasters, terrorism, and violent conflicts – on the perceptions of entrepreneurs concerning some key entrepreneurial issues – such as fear of failure in starting a business...

Structural vector autoregressive (VAR) models were introduced in 1980 as an alternative to traditional large-scale macroeconometric models when the theoretical and empirical support for these models became increasingly doubtful. Initial applications of the structural VAR methodology often were...

Inflation is a far from homogeneous phenomenon, a fact often neglected in modelling consumer price inflation. This study, the first of its kind for an emerging market country, investigates gains to inflation forecast accuracy by aggregating weighted forecasts of the sub-component price indices,...

This paper analyses the use of factor analysis for instrumental variable estimation when the number of instruments tends to infinity. In particular, we focus on situations where many weak instruments exist and/or the factor structure is weak. Theoretical results, simulation experiments and...