In the US and many other OECD countries, expenditures for defense-related R&D represent a key policy channel through which governments shape innovation, and dwarf all other public subsidies for innovation. We examine the impact of government funding for R&D - and defense-related R&D in...

We use the synthetic control method to estimate the effect of international banking and energy sanctions from 2012 to 2015 on military spending of Iran. We create a synthetic control group that mimics the socioeconomic characteristics of Iran before the international sanctions of 2012. We then...

We provide quantitative evidence on the relationship between military spending and innovation in the 19th century. Combining innovation data from world fairs and historical military data across Europe, we show that national military spending is associated with national innovation towards war...

The purpose of this study is to examine the impact of air pollution (measured by satellite data of Aerosol Optical Depth (AOD)) on net outmigration. Using data from the 2011 and 2016 National Population and Housing Censuses for 31 provinces of Iran and applying a panel fixed effects estimation...

Limiting global warming in line with the goals in the Paris Agreement will require substantial technological and behavioural transformations. This challenge drives many of the current modelling trends. This paper undertakes a review of 17 state-of-the-art recursive-dynamic computable general...

We develop a dynamic regulation game for a stock externality under asymmetric information and future market uncertainty. Within this framework, regulation is characterized as the implementation of a welfare-maximization program conditional on informational constraints. We identify the most...

The objective of this paper is to critically assess the use of simple rules for the social cost of carbon (SCC) that employ a rudimentary form of the Ramsey Rule. Two interrelated caveats apply. First, if climate change poses a serious problem, it is hard to justify an exogenous constant growth...

We study the impact of short-term exposure to ambient air pollution on the spread and severity of COVID-19 in Germany. We combine data on county-by-day level on confirmed cases and deaths with information on local air quality and weather conditions and exploit short-term variation in the...

This paper develops a model with an endogenous number of cities to explore whether local governments establish the optimal city size when key activities in the city are associated with emissions that harm consumers. In contrast to extant research, our model is fully micro-founded with respect to...

We use panel data from Germany to analyze the effect of population density on urban air pollution (nitrogen oxides, particulate matter and ozone). To address unobserved heterogeneity and omitted variables, we present long difference/fixed effects estimates and instrumental variables estimates,...