We develop a climate-economy model with active learning. We consider three ways of active learning: improved observations, adding observations from the past and improved theory from climate research. From the model, we find that the decision maker invests a significant amount of money in climate...

I estimate the cost of meeting the EU 2030 targets for greenhouse gas emission reduction, using statistical emulators of ten alternative models. Assuming a first-best policy implementation, I find that total and marginal costs are modest. The statistical emulators allow me to compute the risk...

The debate about the Tobin Tax, and other financial transaction taxes (FTT), gives rise to strong views both for and against. Unfortunately, little of this debate is based on the now considerable body of evidence about the impact of such taxes. This review attempts to synthesise what we know...

This work focuses on the welfare costs of exposure to shocks and uncertainty linked to trade opennes - a prominent issue in the international debate. It contributes by presenting a comprehensive review of the literature on the "destabilizing effects" of trade openness, drawing together studies...

The effect of learning on climate policy is not straightforward when climate policy is concerned. It depends not only on the ways that climate feedbacks, preferences, and economic impacts are considered, but also on the ways that uncertainty and learning are introduced. Deep (or fat-tailed)...

This work presents a robust empirical approach to dealing with the issue of the long run relationship between macroeconomic volatility, consumption behaviour and welfare for a large sample of countries. Differing from previous works, our empirical strategy is grounded on consumption and takes...