We use hedonic analysis of home transaction data from the Minneapolis-St. Paul metropolitan area to estimate the effects of proximity to open space on sales price. Importantly, we allow the effects of proximity to vary spatially with many covariates, such as population density and neighborhood income.

Debate about the appropriate design of energy policy hinges critically on whether consumers might undervalue energy efficiency, due to myopia or some other manifestation of limited rationality. We contribute to this debate by measuring consumers' willingness to pay for fuel economy using a novel identification strategy and high quality microdata from wholesale used car auctions. We leverage differences in future fuel costs across otherwise identical vehicles that have different current mileage, and therefore different remaining lifetimes. By seeing how price differences across high and low mileage vehicles of different fuel economies change in response to shocks to the price of gasoline, we estimate the relationship between vehicle prices and future fuel costs. Our data suggest that used automobile prices move one for one with changes in present discounted future fuel costs, which implies that consumers fully value fuel economy.

A tax on vehicle emissions can efficiently induce all of the cheapest forms of abatement. Consumers could drive less, buy a smaller car with better gas mileage, use cleaner gasoline, and repair pollution control equipment (PCE). However, the technology is not yet available to measure and tax each car's total emissions. We thus investigate alternative instruments. In a simple model with identical consumers, we show conditions under which the same efficiency can be attained by the combination of a tax on gas, a tax on engine size , and a subsidy to PCE. In a model with heterogeneous consumers, the same efficiency can again be obtained, but only if each person's gasoline tax rate can be made to depend on the characteristics of the car. We solve for these firstbest tax rates. Assuming that tax rates must be uniform across consumers, we then characterize second-best tax rates on gasoline and on characteristics.

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Most studies suggest that environmental taxes are regressive, and thus are unattractive policy options. We consider the distributional effects of a gasoline tax increase using three welfare measures and under three scenarios for gas tax revenue use. To incorporate behavioral responses we use Consumer Expenditure Survey data to estimate a consumer demand system that includes gasoline, other goods, and leisure. We find that the gas tax is regressive, but that returning the revenue through a lump-sum transfer more than offsets this, yielding a net increase in progressivity. We also find that ignoring behavioral changes in distributional calculations overstates both the overall burden of the tax and its regressivity.

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