The stylized model presented in this paper extends the approach developed by Fischer and Newell (2008) by analysing the optimal policy design in a context with more than one externality while taking explicitly into account uncertainty surrounding future emission damage costs. In the presence of...

We conduct a contingent valuation survey in Spain and the UK to elicit information about the Willingness to Pay (WTP) for heat wave watch and response programs. We find that people are willing to pay for such programs, and that the WTP (€ 50 for each of 10 years; 2019 PPP euro) is virtually...

Alterations in rainfall patterns and increasing temperatures due to climate change will most likely translate into yield reductions in desirable crops. In this particular context, the object of this paper is to lay down findings and results for projected yield impacts in Morocco using a...

This paper identifies individual and regional risk factors for hospitalizations caused by heat within the German population over 65 years of age. Using administrative insurance claims data and a machine-learning-based regression model, we causally estimate heterogeneous heat effects and explore...

This article explores the difficulties faced by regulators when they decide to regulate greenhouse gas emissions. For a long time, there was sufficient scientific uncertainty as to encourage a 'wait and see' approach. More recently, as the science has hardened with the release of the IPCC Fourth...

I show that rising temperatures can detrimentally affect the sovereign creditworthiness of emerging economies. To this end, I collect long-term monthly temperature data of 54 emerging countries. I calculate a country’s temperature deviation from its historical average, which approximates...

I show that rising temperatures can detrimentally affect the sovereign creditworthiness of emerging economies. To this end, I collect long-term monthly temperature data of 54 emerging countries. I calculate a country's temperature deviation from its historical average, which approximates present...

The complexity of integrated assessment models (IAMs) prevents the direct appreciation of the impact of uncertainty on the model predictions. However, for a full understanding and corroboration of model results, analysts might be willing, and ought to identify the model inputs that influence the...

I show that rising temperatures can detrimentally affect the sovereign creditworthiness of emerging economies. To this end, I collect long-term monthly temperature data of 54 emerging markets. I calculate a country's temperature deviation from its historical average, which approximates...