The (Non)Separability of Air Quality: Evidence from Millions of Households Across the United States

41 Pages Posted: 13 Nov 2019

See all articles by Christos Makridis

Christos Makridis

Stanford University; Institute for the Future (IFF), Department of Digital Innovation, School of Business, University of Nicosia; Arizona State University (ASU); Department of Veterans Affairs (VA)

Date Written: November 5, 2019

Abstract

The costs and benefits of environmental policy depend crucially on the assumed micro-elasticities between market and non-market goods. In their absence, general equilibrium models have assumed environmental amenities are perfect substitutes with market goods, such as consumption and leisure. The first part of the paper compiles the most comprehensive micro-data to date between 1980 and 2014 containing individual and county outcomes from the Census Bureau and Environmental Protection Agency. Using the Consumption Expenditure Survey, I create individual-level predictions of consumption expenditures in the census micro-data. With the newly created data, I document a strong negative association between ozone pollution and both consumption and leisure at the county-level. The second part of the paper develops a partial equilibrium sorting model with non-separable preferences between each of the market goods (consumption, leisure, and housing) and pollution. The third part of the paper uses the equilibrium conditions implied by the model to estimate the elasticities between each of the market and non-market goods. The fourth part of the paper uses the estimated elasticities to revisit the welfare gains of the Clean Air Act Amendments (CAAA) in the presence of non-separabilities. Preliminary results indicate that initial estimates of the welfare gains are drastically overstated.

Keywords: elasticity of air quality; hedonic prices; non-separability; willingness to pay

JEL Classification: J23, Q51, Q53, Q5

Suggested Citation

Makridis, Christos, The (Non)Separability of Air Quality: Evidence from Millions of Households Across the United States (November 5, 2019). Available at SSRN: https://ssrn.com/abstract=3480867 or http://dx.doi.org/10.2139/ssrn.3480867

Christos Makridis (Contact Author)

Stanford University ( email )

Stanford, CA 94305
United States

Institute for the Future (IFF), Department of Digital Innovation, School of Business, University of Nicosia ( email )

Nicosia, 2417
Cyprus

Arizona State University (ASU) ( email )

Farmer Building 440G PO Box 872011
Tempe, AZ 85287
United States

Department of Veterans Affairs (VA) ( email )

810 Vermont Avenue NW
Washington, DC 20420
United States

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