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Aggregation in Recreation Economics: Issues of Estimation and Benefit Measurement

Published online by Cambridge University Press:  10 May 2017

K. E. McConnell  and
N. E. Bockstael
K. E. McConnell
Affiliation:
Agricultural and Resource Economics, University of Maryland
N. E. Bockstael
Affiliation:
Agricultural and Resource Economics, University of Maryland
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Extract

Problems of aggregation plague applications of microeconomics. The theory is derived from postulates of behavior of individuals, but we often have data only for groups of individuals. The economics of outdoor recreation is no exception. This paper addresses the aggregation issue for estimating the demand for outdoor recreation. What are the estimation and welfare implications of using individual vs. aggregated observations, if the latter is all we have?

Type
AAEA/NAREA Invited Session: Measuring the Economic Value of Outdoor Recreation and Other Environmental Amenities
Information
Northeastern Journal of Agricultural and Resource Economics , Volume 13 , Issue 2 , October 1984 , pp. 181 - 186
Copyright
Copyright © 1984 Northeastern Agricultural and Resource Economics Association 

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Footnotes

Scientific Article No. A-1234, Contribution No. 1234 of the Maryland Agricultural Experiment Station.

References

Bockstael, N. E. and Strand, I. E. “The Nature of Error in Recreation Benefit Demand Analysis and its Effect on Estimates.” Manuscript. 1984.Google Scholar
Bockstael, N. E., Strand, I. E. and Hanemann, W. M. “Time and Income Constraints in Recreation Demand Analysis,” Manuscript. 1984.Google Scholar
Bowes, M. David and Loomis, J. B. “A Note on the Use of Travel Cost Models with Unequal Zonal Populations.” Land Econ. 56 (1980):465–470.Google Scholar
Brown, W. G. and Nawas, F. “Impact of Aggregation on the Estimation of Outdoor Recreation Demand Functions.” AJAE 55 (1973):246–249.Google Scholar
Brown, W. G., Sorhus, C., Chou-Yang, B., and Richards, S. “Using Individual Observations to Estimate Recreation Demand Functions.” AJAE 65:154–157.Google Scholar
Christiansen, J. B. and Price, C. “A Note on the Use of Travel-Cost Models with Unequal Zonal Populations: Comment,” Land Economics 58 (1982):395–99.Google Scholar
Davidson, P., Adams, F. G., and Seneca, J. J. “The Social Value of Water Recreational Facilities Resulting from an Improvement in Water Quality: The Delaware Estuary” in Water Research, eds. Kneese, Allen V. and Smith, Stephen. Baltimore. Johns Hopkins University Press. 1966.Google Scholar
Dwyer, J. F., Kelly, J. R., and Bowes, M. D. Improved Procedures for Valuation of the Contribution of Recreation to National Economic Development, Urbana-Champaign: University of Illinois. 1977.Google Scholar
Heckman, J. J. “The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables,” Annals of Social and Economic Measurement 5 (1976):475–492.Google Scholar
Hotelling, Harold. Letter to the National Park Services in “Economics of Outdoor Recreation”—The Prewitt Report. 1948.Google Scholar
Maddala, G. S. Limited-dependent and Qualitative Variables in Econometrics. New York. Cambridge University Press. 1983.Google Scholar
Smith, V. Kerry, Desvousges, W. H., and McGivney, Mathew P. “The Opportunity Cost of Travel Time in Recreation Demand Models,” Land Econ. 59 (1983):259–78.Google Scholar
Vaughan, W. J., Russell, C. S. and Hazilla, M. “A Note on the Use of Travel-Cost Models with Unequal Zonal Populations: Comment,” Land Economics 58 (1982):400–07.Google Scholar
Wetzstein, Michael and Ziemer, Rod. “An Application of a Truncated Regression Model to Recreation Demand” paper presented at AAEA meetings. 1982.Google Scholar