RT Journal Article
SR Electronic
T1 Correcting On-Site Sampling Bias: A New Method with Application to Recreation Demand Analysis
JF Land Economics
JO Land Econ
FD University of Wisconsin Press
SP 459
OP 474
DO 10.3368/le.94.3.459
VO 94
IS 3
A1 Shi, Wei
A1 Huang, Ju-Chin
YR 2018
UL http://le.uwpress.org/content/94/3/459.abstract
AB Collecting data via on-site surveys is convenient and can be cost-effective. However, the on-site sampling scheme over-samples frequent site visitors and omits nonvisitors, which can result in biased and inconsistent estimation of population parameters. A common empirical approach to addressing the sampling issues is to make adjustments directly to the assumed population distribution. We propose an alternative empirical strategy that utilizes the sample distribution and treats endogenous stratification and truncation separately. Monte Carlo simulation shows this proposed empirical strategy has merit. A case study of recreation demand for coastal beaches using on-site survey data is presented. (JEL C24, Q26)