TY - JOUR
T1 - Testing Transferability of Recreation Demand Models Across Regions
T2 - A Study of Corps of Engineer Reservoirs
AU - Loomis, John
AU - Roach, Brian
AU - Ward, Frank
AU - Ready, Richard
N1 - Copyright:
Copyright 2016 Elsevier B.V., All rights reserved.
PY - 1995/3
Y1 - 1995/3
N2 - This research tests the interchangeability of two specifications of travel cost demand models for recreation at U.S. Army Corps of Engineer reservoirs in Arkansas, California, and Tennessee/Kentucky. Statistical tests of coefficient equality for both nonlinear least squares and Heckman sample selection models suggest rejecting a transferable model among all three regions. However, the nonlinear least squares models in Arkansas and Tennessee were similar enough to fail to reject the hypothesis of equal coefficients at the 0.01 significance level. Even so, interchanging the Arkansas and Tennessee nonlinear least squares coefficients produces visitor use and total benefit estimates that are more than 100% too high. However, interchanging coefficients does provide reasonably close estimates of the average consumer surplus per trip for both states using the nonlinear least squares model (±5% to 10%). This is due to similarity of the price coefficients in the two models. Thus a more limited form of transferability which focuses on average benefit per day, rather than on predicting total use and total benefits, appears promising.
AB - This research tests the interchangeability of two specifications of travel cost demand models for recreation at U.S. Army Corps of Engineer reservoirs in Arkansas, California, and Tennessee/Kentucky. Statistical tests of coefficient equality for both nonlinear least squares and Heckman sample selection models suggest rejecting a transferable model among all three regions. However, the nonlinear least squares models in Arkansas and Tennessee were similar enough to fail to reject the hypothesis of equal coefficients at the 0.01 significance level. Even so, interchanging the Arkansas and Tennessee nonlinear least squares coefficients produces visitor use and total benefit estimates that are more than 100% too high. However, interchanging coefficients does provide reasonably close estimates of the average consumer surplus per trip for both states using the nonlinear least squares model (±5% to 10%). This is due to similarity of the price coefficients in the two models. Thus a more limited form of transferability which focuses on average benefit per day, rather than on predicting total use and total benefits, appears promising.
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U2 - 10.1029/94WR02895
DO - 10.1029/94WR02895
M3 - Article
AN - SCOPUS:0028834509
SN - 0043-1397
VL - 31
SP - 721
EP - 730
JO - Water Resources Research
JF - Water Resources Research
IS - 3
ER -