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

Donald B. K. English
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Donald B. K. English: USDA- Forest Service

The Review of Regional Studies, 1997, vol. 27, issue 3, 219-236

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.

Date: 1997
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Persistent link: https://EconPapers.repec.org/RePEc:rre:publsh:v:27:y:1997:i:3:p:219-236

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