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Estimating the Amenity Costs of Global Warming in Brazil: Getting the Most from Available Data

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  • Christopher Timmins

    () (Economic Growth Center, Yale University)

Abstract

This paper develops a theoretically consistent technique for valuing non-marketed local attributes using compensating income differentials in the absence of housing market data. The individual's indirect utility function is identified with aggregate data describing equilibrium location decisions, and this function is used in place of the unidentified equation describing how housing prices are determined. The model is used to value climate amenities in Brazil, where such data problems are prevalent. Similar problems arise in other developing countries, particularly when one looks outside of the largest cities.

Suggested Citation

  • Christopher Timmins, 1999. "Estimating the Amenity Costs of Global Warming in Brazil: Getting the Most from Available Data," Working Papers 809, Economic Growth Center, Yale University.
  • Handle: RePEc:egc:wpaper:809
    as

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    File URL: http://www.econ.yale.edu/growth_pdf/cdp809.pdf
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    References listed on IDEAS

    as
    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Henderson, J. Vernon, 1982. "Evaluating consumer amenities and interregional welfare differences," Journal of Urban Economics, Elsevier, vol. 11(1), pages 32-59, January.
    3. William D. Nordhaus & James Tobin, 1973. "Is Growth Obsolete?," NBER Chapters,in: The Measurement of Economic and Social Performance, pages 509-564 National Bureau of Economic Research, Inc.
      • William D. Nordhaus & James Tobin, 1972. "Is Growth Obsolete?," NBER Chapters,in: Economic Research: Retrospect and Prospect, Volume 5, Economic Growth, pages 1-80 National Bureau of Economic Research, Inc.
    4. Mendelsohn, Robert & Nordhaus, William D & Shaw, Daigee, 1994. "The Impact of Global Warming on Agriculture: A Ricardian Analysis," American Economic Review, American Economic Association, vol. 84(4), pages 753-771, September.
    5. Cragg, Michael & Kahn, Matthew, 1997. "New Estimates of Climate Demand: Evidence from Location Choice," Journal of Urban Economics, Elsevier, vol. 42(2), pages 261-284, September.
    6. Richard M. Adams, 1989. "Global Climate Change and Agriculture: An Economic Perspective," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(5), pages 1272-1279.
    7. Cropper, Maureen L, et al, 1993. "Valuing Product Attributes Using Single Market Data: A Comparison of Hedonic and Discrete Choice Approaches," The Review of Economics and Statistics, MIT Press, vol. 75(2), pages 225-232, May.
    8. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
    9. Blomquist, Glenn C & Berger, Mark C & Hoehn, John P, 1988. "New Estimates of Quality of Life in Urban Areas," American Economic Review, American Economic Association, vol. 78(1), pages 89-107, March.
    10. Getz, Malcom & Huang, Yuh-ching, 1978. "Consumer Revealed Preference for Environmental Goods," The Review of Economics and Statistics, MIT Press, vol. 60(3), pages 449-458, August.
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    More about this item

    Keywords

    wage-hedonics; discrete-choice analysis; climate amenity; global warming;

    JEL classification:

    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • O54 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Latin America; Caribbean

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