Climatic Change

, Volume 45, Issue 3–4, pp 571–581 | Cite as

Adaptation and Its Measurement

  • W. Michael Hanemann
Editorial Commentary


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Adams, R., Glyer, D., and McCarl, B.: 1989, ‘The Economic Effects of Climate Change in U.S. Agriculture: A Preliminary Assessment’, in Smith, J. and Tirpak, D. (eds.), The Potential Effects of Global Climate Change on the United States: Report to Congress, EPA–230–05–89–050, U.S. Environmental Protection Agency, Washington, D.C.Google Scholar
  2. Adams, R., Rosenzweig, C., Pearl, R., Ritchie, J., McCarl, B., Glyer, J., Curry, R., Jones, J., Boote, K., and Allen, L.: 1990, ‘Global Climate Change and U.S. Agriculture’, Nature 345, 219–224.Google Scholar
  3. Adams, R., Fleming, R., Chang, C., McCarl, B., and Rosenzweig, C.: 1995, ‘A Reassessment of the Economic Effects of Global Climate Change in U.S. Agriculture’, Clim. Change 30, 146–167.Google Scholar
  4. Alchian, A.: 1950, ‘Uncertainty, Evolution and Economic Theory’, J. Polit. Econ. 57, 211–221.Google Scholar
  5. Belsley, D. A., Kuh, E., and Welsch, R. E.: 1980, Regression Diagnostics: Identifying Influential Data, John Wiley and Sons, New York.Google Scholar
  6. Breiman, L., Friedman, J., Olshen, R., and Stone, C. J.: 1993, Classification and Regression Trees, Chapman and Hall, New York.Google Scholar
  7. Breiman, L. and Friedman, J.: 1985, ‘Estimating Optimal Transformations for Multiple Regression and Correlation’, J. Amer. Statist. Assoc. 80, 580–619.Google Scholar
  8. Crosson, P. and Katz, L.: 1991, Report IIA: Agricultural Production and Resource Use in the MINK Region with and without Climate Change, DOE/RL/01830T-H7, U.S. Department of Energy, Washington, D.C.Google Scholar
  9. Dutta, P. K. and Radner, R.: 1999, ‘Profit Maximization and the Market Selection Hypothesis’, Rev. Econ. Stud. 66, 769–798.Google Scholar
  10. Fankhauser, R., Smith, J., and Tol, R.: 1997, ‘Weathering Climate Change: Some Simple Rules to Guide Adaptation Decisions’.Google Scholar
  11. Fisher, A. C. and Hanemann, W. M.: 1993, ‘Assessing Climate Change Risks: Valuation of Effects’, in Darmstadter, J. and Toman, M. A. (eds.), Assessing Surprises and Nonlinearities in Greenhouse Warming Resources for the Future, Washington, D.C.Google Scholar
  12. Fisher, A. C., Hanemann, W. M., and Schlenker, W.: 1999, ‘The Impact of Global Warming on Agriculture: Precipitation, Irrigation, and the Value of Farmland in the Ricardian Approach’, Working Paper, Department of Agricultural and Resource Economics, University of California, Berkeley.Google Scholar
  13. Freedman, D.: 1997, ‘From Association to Causation via Regression’, Adv. Appl. Math. 18, 59–110.Google Scholar
  14. Gilley, O. W. and Pace, R. K.: 1996, ‘On the Harrison and Rubinfeld Data’, J. Environ. Econ. Manage. 31, 403–405.Google Scholar
  15. Hall, R. and Hitch, C.: 1939, ‘Price Theory and Business Behavior’, Oxford Econ. Papers 2, 12–45.Google Scholar
  16. Harrison, D. and Rubinfeld, D. L.: 1978, ‘Hedonic Housing Prices and the Demand for Clean Air’, J. Environ. Econ. Manage. 5, 81–102.Google Scholar
  17. Krasker, W. S., Kuh, E., and Welsch, R. E.: 1983, ‘Estimation for Dirty Data and Flawed Models’, in Griliches, Z. and Intriligator, M. D. (eds.), Handbook of Econometrics, Volume 1, North Holland, Amsterdam, pp. 651–698.Google Scholar
  18. Lange, N. and Ryan, L.: 1989, ‘Assessing Normality in Random Effects Models’, Annu. Statistics 17, 624–642.Google Scholar
  19. Lester, R. A.: 1946, ‘Shortcomings of Marginal Analysis for Wage-Employment Problems’, Amer. Econ. Rev. 36, 62–82.Google Scholar
  20. Lester, R. A.: 1947, ‘Marginal Cost, Minimum Wage and Labor Markets’, Amer. Econ. Rev. 37, 135–148.Google Scholar
  21. Lewandrowski, J. and Schimmelpfennig, D.: 1999, ‘Economic Implications of Climate Change for U.S. Agriculture: Assessing Recent Evidence’, Amer. J. Agric. Econ. 75, 39–57.Google Scholar
  22. McCulloch, J. H.: 1998, ‘Linear Regression with Stable Disturbances’, in Adler, R. J., Feldman, R. E., and Taqqu, M. S. (eds.), A Practical Guide to Heavy Tails: Statistical Techniques and Applications, Birkhauser, Boston, Basel, Berlin.Google Scholar
  23. Mendelsohn, R.: 2000, ‘Efficient Adaptation to Climate Change’, Clim. Change 45, 583–600.Google Scholar
  24. Mendelsohn, R., Nordhaus, W., and Shaw, D.: 1994, ‘The Impact of Global Warming on Agriculture: A Ricardian Analysis’, Amer. Econ. Rev. 84, 753–771.Google Scholar
  25. Mendelsohn, R., Nordhaus, W., and Shaw, D.: 1996, ‘Climate Impacts on Aggregate Farm Values: Accounting for Adaptation’, Agric. For. Meteorol. 80, 55–67.Google Scholar
  26. Mendelsohn, R., Nordhaus, W., and Shaw, D.: 1999, ‘The Impact of Global Warming on Agriculture: A Ricardian Analysis: Reply’, Amer. Econ. Rev. 89, 1053–1055.Google Scholar
  27. Pace, R. K.: 1993, ‘Nonparametric Methods with Application to Hedonic Models’, J. Real Estate Finance Econ. 7, 185–204.Google Scholar
  28. Rosenbaum, P. R.: 1999, ‘Choice as an Alternative to Control in Observational Studies’, Statist. Sci. 14, 259–304.Google Scholar
  29. Rosenzweig, C. and Parry, M.: 1994, ‘Potential Impact of Climate Change on World Food Supply’, Nature 367, 133–138.Google Scholar
  30. Simon, H. A.: 1955, ‘A Behavioral Model of Rational Choice’, Quart. J. Econ. 69, 99–118.Google Scholar
  31. Yohe, G., Neumann, J., Marshall, P., and Ameden, H.: 1996, ‘The Economic Cost of Greenhouse-Induced Sea-Level Rise for Developed Property in the United States’, Clim. Change 32, 387–410.Google Scholar

Copyright information

© Kluwer Academic Publishers 2000

Authors and Affiliations

  • W. Michael Hanemann
    • 1
  1. 1.Department of Agricultural and Resource Economics and Goldman School of Public PolicyUniversity of CaliforniaBerkeleyU.S.A.

Personalised recommendations