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We compare the most common reduced-form models used for emissions forecasting, point out shortcomings, and suggest improvements. Using a U.S. state-level panel data set of CO_2 emissions, we test the performance of existing models against a large universe of potential reduced-form models. We...
Persistent link: https://www.econbiz.de/10011009992
Studies of voluntary conservation response to changing information about an environmental problem have traditionally been synonymous with studies of information campaign effectiveness. As such, they have not been able to capture the response to actual changes in the environment. This paper takes...
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Heavier vehicles are safer for their own occupants but more hazardous for other vehicles. Simple theory thus suggests that an unregulated vehicle fleet is inefficiently heavy. Using three separate identification strategies we show that, controlling for own-vehicle weight, being hit by a vehicle...
Persistent link: https://www.econbiz.de/10011268084
Agricultural production is heavily dependent on weather outcomes, and hence climate change has the potential to significantly alter the sector's productivity. Both reduced form studies as well as integrated assessment models have found that the agricultural sector might experience significant...
Persistent link: https://www.econbiz.de/10011115920
This paper reviews the literature on the relationship between climate and the energy sector. In particular, we primarily discuss empirical papers published in peer-reviewed economics journals focusing on how climate affects energy expenditures and consumption. Climate will affect energy...
Persistent link: https://www.econbiz.de/10011115928
Economists are increasingly using weather data and climate model output in analyses of the economic impacts of climate change. This article introduces weather data sets and climate models that are frequently used, discusses the most common mistakes economists make in using these products, and...
Persistent link: https://www.econbiz.de/10010821814
A recent paper in this journal argues that the choice of statistical model is responsible for the divergence in damage estimates of climate change on US agriculture. We provide five arguments why we believe this assertion is misguided. Copyright Springer Science+Business Media Dordrecht 2013
Persistent link: https://www.econbiz.de/10010728153