Effects of Sample Selection on Estimates of Economic Impacts of Outdoor Recreation
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.
Year of publication: |
1997
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Authors: | English, Donald B. K. |
Published in: |
The Review of Regional Studies. - Southern Regional Science Association, ISSN 0048-749X. - Vol. 27.1997, 3, p. 219-236
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Publisher: |
Southern Regional Science Association |
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