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Meta-analysis in model implementation: choice sets and the valuation of air quality improvements

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  • H. Spencer Banzhaf

    (Department of Economics, Andrew Young School of Policy Studies, Georgia State University, Atlanta, Georgia, USA)

  • V. Kerry Smith

    (Department of Economics, Arizona State University, Tempe, Arizona, USA)

Abstract

This research illustrates how the methods developed for meta-analysis can serve to document and summarize voluminous information derived from repeated sensitivity analyses. Our application is to the sensitivity of welfare estimates derived from discrete choice models to assumptions about the choice set. These assumptions affect welfare estimates through both the estimated parameters of the model and, conditional on the parameters, the substitution among alternatives. In our specific application, the evaluation is in terms of estimated benefits of air quality improvements in Los Angeles based on discrete choices of neighborhood and housing. Copyright © 2007 John Wiley & Sons, Ltd.

Suggested Citation

  • H. Spencer Banzhaf & V. Kerry Smith, 2007. "Meta-analysis in model implementation: choice sets and the valuation of air quality improvements," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(6), pages 1013-1031.
    • Handle: RePEc:jae:japmet:v:22:y:2007:i:6:p:1013-1031
    DOI: 10.1002/jae.977
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    1. Joseph A. Herriges & Catherine L. Kling, 1999. "Nonlinear Income Effects in Random Utility Models," The Review of Economics and Statistics, MIT Press, vol. 81(1), pages 62-72, February.
    2. Quigley, John M., 1985. "Consumer choice of dwelling, neighborhood and public services," Regional Science and Urban Economics, Elsevier, vol. 15(1), pages 41-63, February.
    3. William A. Brock & Steven N. Durlauf, 2001. "Discrete Choice with Social Interactions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 68(2), pages 235-260.
    4. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, September.
    5. Chattopadhyay, Sudip, 2000. "The effectiveness of McFaddens's nested logit model in valuing amenity improvement," Regional Science and Urban Economics, Elsevier, vol. 30(1), pages 23-43, January.
    6. Glenn Ellison, 2002. "The Slowdown of the Economics Publishing Process," Journal of Political Economy, University of Chicago Press, vol. 110(5), pages 947-993, October.
    7. Poterba, James M, 1992. "Taxation and Housing: Old Questions, New Answers," American Economic Review, American Economic Association, vol. 82(2), pages 237-242, May.
    8. Aviv Nevo, 2003. "New Products, Quality Changes, and Welfare Measures Computed from Estimated Demand Systems," The Review of Economics and Statistics, MIT Press, vol. 85(2), pages 266-275, May.
    9. George R. Parsons & GAndrew J. Plantinga & GKevin J. Boyle, 2000. "Narrow Choice Sets in a Random Utility Model of Recreation Demand," Land Economics, University of Wisconsin Press, vol. 76(1), pages 86-99.
    10. Steven Berry & James Levinsohn & Ariel Pakes, 2004. "Differentiated Products Demand Systems from a Combination of Micro and Macro Data: The New Car Market," Journal of Political Economy, University of Chicago Press, vol. 112(1), pages 68-105, February.
    11. Banzhaf, H. Spencer, 2002. "Quality Adjustment for Spatially-Delineated Public Goods: Theory and Application to Cost-of-Living Indices in Los Angeles," Discussion Papers 10833, Resources for the Future.
    12. Leamer, Edward E, 1983. "Let's Take the Con Out of Econometrics," American Economic Review, American Economic Association, vol. 73(1), pages 31-43, March.
    13. Amil Petrin, 2002. "Quantifying the Benefits of New Products: The Case of the Minivan," Journal of Political Economy, University of Chicago Press, vol. 110(4), pages 705-729, August.
    14. Patrick Bayer & Robert McMillan & Kim Rueben, 2004. "An Equilibrium Model of Sorting in an Urban Housing Market," NBER Working Papers 10865, National Bureau of Economic Research, Inc.
    15. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
    16. 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.
    17. Bayer, Patrick & Keohane, Nathaniel & Timmins, Christopher, 2009. "Migration and hedonic valuation: The case of air quality," Journal of Environmental Economics and Management, Elsevier, vol. 58(1), pages 1-14, July.
    18. George R. Parsons & Mary Jo Kealy, 1992. "Randomly Drawn Opportunity Sets in a Random Utility Model of Lake Recreation," Land Economics, University of Wisconsin Press, vol. 68(1), pages 93-106.
    19. Haab, Timothy C. & Hicks, Robert L., 1997. "Accounting for Choice Set Endogeneity in Random Utility Models of Recreation Demand," Journal of Environmental Economics and Management, Elsevier, vol. 34(2), pages 127-147, October.
    20. Raymond B. Palmquist & Adis Israngkura, 1999. "Valuing Air Quality With Hedonic and Discrete Choice Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(5), pages 1128-1133.
    21. Kenneth E. Train & Daniel L. McFadden & Moshe Ben-Akiva, 1987. "The Demand for Local Telephone Service: A Fully Discrete Model of Residential Calling Patterns and Service Choices," RAND Journal of Economics, The RAND Corporation, vol. 18(1), pages 109-123, Spring.
    22. Palmquist, Raymond B., 2006. "Property Value Models," Handbook of Environmental Economics, in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 2, chapter 16, pages 763-819, Elsevier.
    23. William A. Brock & Steven N. Durlauf, 2002. "A Multinomial-Choice Model of Neighborhood Effects," American Economic Review, American Economic Association, vol. 92(2), pages 298-303, May.
    24. Quigley, John M., 2006. "Urban Economics," Berkeley Program on Housing and Urban Policy, Working Paper Series qt0jr0p2tk, Berkeley Program on Housing and Urban Policy.
    25. George R. Parsons & A. Brett Hauber, 1998. "Spatial Boundaries and Choice Set Definition in a Random Utility Model of Recreation Demand," Land Economics, University of Wisconsin Press, vol. 74(1), pages 32-48.
    26. Daniel McFadden, 1996. "Computing Willingness-to-Pay in Random Utility Models," Working Papers _011, University of California at Berkeley, Econometrics Laboratory Software Archive.
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    More about this item

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

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