Estimating recreation demand using the properties of the implied consumer surplus

V. K. Smith

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Consumer surplus estimates are random variables. While they are generally recognized as stochastic, little attention was given to their properties prior to Bockstael and Strand's evaluation of conventional practices for using recreation demand models in benefit measurement. This paper proposes a different strategy - to define estimators based on the properties of their implied consumer surplus estimates. This type of argument is not new and usually is associated with the rationale offered for Bayesian estimators. However, the motivation for the estimator proposed here can be based on minimizing the mean squared error of the consumer surplus estimates. Moreover, it can be constructed from the statistics usually reported with ordinary least squares estimates. -from Author

Original languageEnglish (US)
Pages (from-to)111-120
Number of pages10
JournalLand Economics
Volume66
Issue number2
StatePublished - 1990
Externally publishedYes

Fingerprint

Consumer surplus
Recreation demand
recreation
surplus
demand
Estimator
statistics
evaluation
Random variables
Demand model
Rationale
Mean squared error
Statistics
Ordinary least squares
Evaluation

ASJC Scopus subject areas

  • Economics and Econometrics
  • Environmental Science (miscellaneous)

Cite this

Estimating recreation demand using the properties of the implied consumer surplus. / Smith, V. K.

In: Land Economics, Vol. 66, No. 2, 1990, p. 111-120.

Research output: Contribution to journalArticle

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