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Effects of Sample Selection on Estimates of Economic Impacts of Outdoor Recreation

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  • Donald B. K. English

    (USDA- Forest Service)

Abstract

Estimates of the economic impacts of recreation often come from spending data provided by a self-selected subset of a random sample of site visitors. The subset is frequently less than half the onsite sample. Biased vectors of per trip spending and impact estimates can result if self-selection is related to spending patterns, and proper corrective procedures are not employed. This paper shows a method for accounting for both sample selection and the censored nature of reported expenditures, via a Tobit model with sample selection. Results from a sample of visitors to Cumberland Island National Seashore indicate a naive (uncorrected) approach overestimates per trip visitor spending by 15 percent and economic impacts to industrial output by 10 percent.

Suggested Citation

  • Donald B. K. English, 1997. "Effects of Sample Selection on Estimates of Economic Impacts of Outdoor Recreation," The Review of Regional Studies, Southern Regional Science Association, vol. 27(3), pages 219-236, Winter.
    • Handle: RePEc:rre:publsh:v:27:y:1997:i:3:p:219-236
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    References listed on IDEAS

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