W. Douglass Shaw
W. Douglass Shaw
Bestätigte E-Mail-Adresse bei tamu.edu
Zitiert von
Zitiert von
Price elasticity of residential demand for water: a meta‐analysis
M Espey, J Espey, WD Shaw
Water resources research 33 (6), 1369-1374, 1997
Innovative approaches to water allocation: the potential for water markets
CW Howe, DR Schurmeier, WD Shaw Jr
Water resources research 22 (4), 439-445, 1986
A discrete-choice model of recreational participation, site choice, and activity valuation when complete trip data are not available
ER Morey, WD Shaw, RD Rowe
Journal of Environmental Economics and Management 20 (2), 181-201, 1991
Estimating the cost of leisure time for recreation demand models
P Feather, WD Shaw
Journal of Environmental Economics and management 38 (1), 49-65, 1999
Searching for the Opportunity Cost of an Individual's Time
WD Shaw
Land Economics, 107-115, 1992
Testing the validity of contingent behavior trip responses
TC Grijalva, RP Berrens, AK Bohara, WD Shaw
American Journal of Agricultural Economics 84 (2), 401-414, 2002
The new economics of outdoor recreation.
N Hanley, WS Shaw, RE Wright
The new economics of outdoor recreation., 2003
The value of water levels in water‐based recreation: A pooled revealed preference/contingent behavior model
ME Eiswerth, J Englin, E Fadali, WD Shaw
Water resources research 36 (4), 1079-1086, 2000
Travel cost models of the demand for rock climbing
WD Shaw, PM Jakus
Agricultural and Resource Economics Review 25 (1203-2016-95064), 133-142, 1996
Using actual and contingent behavior data with differing levels of time aggregation to model recreation demand
TA Cameron, WD Shaw, SE Ragland, J Mac Callaway, S Keefe
Journal of Agricultural and Resource Economics, 130-149, 1996
Why environmental and resource economists should care about non-expected utility models
WD Shaw, RT Woodward
Resource and Energy Economics 30 (1), 66-89, 2008
Possibilities for including the opportunity cost of time in recreation demand systems
WD Shaw, P Feather
Land Economics, 592-602, 1999
Congestion at recreation areas: empirical evidence on perceptions, mitigating behaviour and management preferences
P Jakus, WD Shaw
Journal of Environmental Management 50 (4), 389-401, 1997
Hurdle count-data models in recreation demand analysis
JS Shonkwiler, WD Shaw
Journal of Agricultural and Resource Economics, 210-219, 1996
Modeling overnight recreation trip choice: application of a repeated nested multinomial logit model
WD Shaw, MT Ozog
Environmental and Resource Economics 13 (4), 397-414, 1999
Water resource economics and policy: an introduction
WD Shaw
Edward Elgar Publishing, 2007
Risk perceptions of arsenic in tap water and consumption of bottled water
PM Jakus, WD Shaw, TN Nguyen, M Walker
Water Resources Research 45 (5), 2009
The value of travel time and reliability-evidence from a stated preference survey and actual usage
PC Devarasetty, M Burris, WD Shaw
Transportation research part A: policy and practice 46 (8), 1227-1240, 2012
A structural equations approach to modeling consumptive recreation demand
J Englin, D Lambert, WD Shaw
Journal of Environmental Economics and Management 33 (1), 33-43, 1997
A theoretically-consistent empirical model of non-expected utility: An application to nuclear-waste transport
M Riddel, WD Shaw
Journal of Risk and Uncertainty 32 (2), 131-150, 2006
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