While economic models have already proven useful to analyze big picture questions about climate policy such as the choice between a carbon tax or cap-and-trade permit system, the 19 chapters in this book show how economic models also are useful to address the many remaining smaller questions...

We study the determinants of comparative advantage in polluting industries. We combine data on environmental policy at the country level with data on pollution intensity at the industry level to show that countries with laxer environmental regulation have a comparative advantage in polluting...

The economic costs of environmental regulations have been widely debated since the U.S. began to restrict pollution emissions more than four decades ago. Using detailed production data from nearly 1.2 million plant observations drawn from the 1972-1993 Annual Survey of Manufactures, we estimate...

The United States Government recently concluded a year-long process to develop a range of values representing the monetized damages associated with an incremental increase in carbon dioxide (CO2) emissions, commonly referred to as the social cost of carbon (SCC). These values are currently used...

Little is known about electric vehicle (EV) demand by low- and middle-income households. In this paper, we exploit a policy that provides exogenous variation in large EV subsidies targeted at the mass market in California. Using transaction-level data, we estimate three important policy...

The MIT Emissions Prediction and Policy Analysis model is applied to synthetic policies that match key attributes of a set of cap-and-trade proposals being considered by the U.S. Congress in spring 2007. The bills fall into two groups: one specifies emissions reductions of 50% to 80% below 1990...

There is widespread agreement among economists – and a diverse set of other policy analysts – that at least in the long run, an economy-wide carbon pricing system will be an essential element of any national policy that can achieve meaningful reductions of CO2 emissions cost-effectively in...