Sport Fishing This paper compares the recreation demand forecasting performance of a
number of static random utility models: a logit model; two random parameters
logit (RPL) models; and, a latent class (LCL) model. No model is clearly
superior to the others and, surprisingly, by some measures a standard logit
model does better in out-of-sample forecasts than models designed to capture
angler heterogeneity. The results illustrate that with heavily parameterized
econometric models and a choice model that is misspecified, the addition of
parameters to denote the heterogeneity of preferences will "absorb"
specification errors and thus possibly generate models inferior to those of a
simpler model.
Lake State Examples -
Other Examples
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Lake States
Examples:
Provencher, B. and R. C. Bishop. 2004. "Does Accounting for
Preference Heterogeneity Improve the Forecasting of a Random Utility Model? A
Case Study." Journal of Environmental Economics and Management 48:793-810.
Ditton, R. B., S. M. Holland and D. K. Anderson.
2002. "Recreational Fishing as Tourism." Fisheries. Data from the 1996 National Survey of Fishing, Hunting and
Wildlife-Associated Recreation conducted by the U.S. Department of the
Interior is used to determine interstate flows of fishing days. Minnesota,
Wisconsin and New York are in the top five states for attracting out-of-state
fishing days. All three states, as well as Michigan, are net gainers of
fishing days. The success of a state in attracting more out-of-state fishing
days than resident fishing days has important implications for tourism
promotion and fisheries management programs. Likewise, the resulting economic
impact on local communities needs to be considered in all decision making. Fulton, D. C., W.
C. Gartner, L. L. Love and D. Erkkila. 2002. Economic Impact and Social
Benefits Study of Coldwater Angling in Minnesota. St. Paul, MN: Tourism
Center, University of Minnesota Extension Service; Minnesota Cooperative Fish
and Wildlife Research Unit.
Web Link. A staggered mail back design instrument was used to collect detailed data,
based on the recipients most recent coldwater angling trip, on expenditures
and benefits received for anglers fishing in each of five different resources:
streams year round; Lake Superior by boat; Lake Superior shores and streams;
inland lakes in winter; and inland lakes in spring, summer and fall. Using the
expenditure results of the survey (approximately $105 per person per day) and
regional multipliers a total economic impact was calculated of between $140.7
to $156.7 million in direct sales. $85.5 to $95.2 million in income, and 3128
and 3,482 full and part time jobs. Upneja, A., E. L. Shaffer, W. Seo and J. Yoon. 2001. "Economic Benefits of
Sport Fishing and Angler Wildlife Watching in Pennsylvania." Journal of
Travel Research 40(August):68-78. This article answers two major policy questions about the economic benefits
of sport fishing in Pennsylvania: what is the annual value of Pennsylvania's
sport fishing resources, and what is the annual economic impact from the use
of that resource. Data from a mail-based questionnaire with 907 respondents
was used to answered these questions using the travel cost method and
input-output analysis (IMPLAN). The annual total value of the sport fishing
resource was found to be $3.98 billion or about three times the total
out-of-pocket expenses. The study found an overall economic impact of sport
fishing of 4.75 billion. Steinback, S. R. 1999. "Regional Economic Impact Assessments of Recreational
Fisheries: An Application of the IMPLAN Modeling System to Marine Party and
Charter Boat Fishing in Maine." North American Journal of Fisheries
Management 19:724-736. This paper looks at the regional economic impact of marine party and
charter boat fishing in Maine. Using IMPLAN, non-resident and resident sales,
income and employment impact are estimated. This articles looks to provide a
starting point toward establishing consistent and defensible techniques for
conducting regional economic impact assessments of recreational fisheries and
to explore appropriate uses of economic impact assessment outputs as they
relate to the growing needs of natural resource managers. This is important as
most studies only report the final impacts of the impact study, without
describing the interdependencies that produced the impacts or how the results
should be and should not be used to guide management decisions. Provencher, B. and R. C. Bishop. 1997. "An Estimable Dynamic Model of
Recreation Behavior with an Application to Great Lakes Angling." Journal of
Environmental Economics and Management 33:107-127. Travel cost method is widely applied to estimate the economic benefit of
non-market resources for site-specific recreational activities. This paper
develops a dynamic structural model of the decision to visit a recreation
site. Compared to the typical static model approach to this problem, a dynamic
model allows the analyst to develop a decision problem that looks more like
"the real thing". For illustration, the model is applied to the decisions of
of fishing club members on the Wisconsin shore of Lake Michigan. The authors
conclude that due to the challenges of obtaining appropriate data and some of
the limiting assumptions of the model, that this type of model is likely
appropriate only in certain circumstances. In many cases the static model will
likely yield welfare estimates similar to the dynamic model with much less
cost and effort. The relative accuracy of each modeling technique needs more
empirical investigation. Marcouiller, D. W., A. Anderson and W. C. Norman. 1996. Trout Angling in
Southwestern Wisconsin and Implications for Regional Development. Madison,
WI: The Center for Community Economic Development, University of
Wisconsin-Extension. This study assessed trout anglers on two Southwestern Wisconsin streams for
their perceptions about current resource attributes and their resource use
behavior. A two stage survey effort was undertaken during the 1995 angling
season including angler identification and subsequent survey. In addition to
perceptive and behavioral information, the effort used expenditure data with
an input-output model (constructed using MicroIMPLAN) to estimate regional
economic impacts. The study also collected data on angler willingness-to-pay
for non-market resource attributes affected through fisheries management.
Results from this portion of the study were based on graphical analysis of a
series of dichotomous choice contingent valuation questions. Marcouiller, D. W., W. C. Norman, A. Anderson and A. Stoecker. 1996.
Valuing Management Attributes of a Trout Fishery Resource: Differences Between
Local and Non-Local Anglers. May 12-23. University Park: Paper presented at
the 6th International Symposium on Society and Natural Resources. This study analyzed the perception of fishery resource attributes by
anglers in Southwestern Wisconsin during the 1995 angling season. Logistic
regression and a dichotomous choice contingent valuation survey were used to
develop non-market resource valuation measures. Local anglers were shown to be
significantly different from non-local anglers in many respects. Of particular
interest were differences in the economic values associated with resource
attributes that are manipulated through fisheries management activities. Leede Research Group. 1994. Wisconsin's Great Lakes Trout and Salmon Sport
Fishery, The Economic Impact, Short Summary Edition. Manitowoc, WI: Leede
Research Group. Because the Great Lakes fishery was reported to have high contamination
levels in 1989, a survey was carried out to determine the importance of sports
fishing to the Wisconsin economy. This report is based on a survey of groups
involved in the sport of fishing. This report updated the expenditure
calculations to understand the changes in expenditures and their impact from
the peak year of 1988 through 1993. The original study estimated that 60% of
total expenditures occurred in the lakeshore counties. The report showed the
potential dollars that were lost due to the changes in the sport fishery.
Additional research will be conducted on the impact this decline had on jobs. Connelly, N. A. and T. L. Brown. 1991. "Net Economic Value of the Freshwater
Recreational Fisheries of New York." Transactions of the American Fisheries
Society 120:770-775. This paper uses the results of an extensive survey conducted in 1988 to
estimate the net economic value of the state of New York's recreational
fishery. The net economic value estimated through willingness to pay exceeded
$284 million with $69 million associated with the portion of the Great Lakes
assigned to New York. Over time there has been a shift in trips for warmwater
species to trips for coldwater or both warm and coldwater species. This is
attributed to salmonid enhancement programs. Some factors such as apparent
declining sportfish biomass and an aging population suggest that the real net
value of the Great Lakes fishing may have reached a peak unless the quality of
the fishing experience can be improved. Bockstael, N. E., I. E. J. Strand, K. E. McConnel and F. Arsanjani. 1990.
"Sample Selection Bias in the Estimation of Recreation Demand Functions: An
Application to Sportfishing." Land Economics 66(1):40-49. This paper explores three methods for correcting sample selection bias in a
sport fishing demand problem. Each method estimates a demand for sport fishing
trips when the sample includes non-participants. Of the three models used -
Heckman, Tobit and Cragg - the Cragg model is found to be most appropriate for
calculating welfare benefits. Lubner, J., H. Moyer and J. Gray. 1987. Results of the 1985-86 Lake
Michigan Fishing Survey. Madison, WI: University of Wisconsin sea Grant
Program, Recreation Resources Centre, University of Wisconsin-Extension. This report presents data from a survey of anglers who used charter boat
operators. The purpose of this report was undertaken to identify marketing
strategies, the economic impact of charter boat operations by gathering
information on the angler profile, his/her expenditures, and other factors
related to the charter boat experience. This report found that $370.50 per
household was spent on fishing. Charter boat customers spent about $4 million
in the five port areas in Wisconsin with an additional $400,000 spent in other
areas of Wisconsin. According to this report, the economic impact is at least
double these figures. Dawson, C. 1985. The Great Lakes Charterboat Fishing Industry. Mexico,
NY: New York Sea Grant Extension Program, Cooperative Extension Offices. This publication contains eleven studies of which four are devoted to
analyzing the economic impact of the charter boat fishing industry. Three
studies look at marketing research and applications and four studies look at
business and financial management practices. This study is included in this
bibliography because one study in particular, "The Economic Contribution of
Ohio's Lake Erie Charterboat Industry," used willingness-to-pay estimates, the
only study in this collection to use this method. Samples, K. C. and R. C. Bishop. 1981. The Lake Michigan Angler: A
Wisconsin Profile. Madison, WI: University of Wisconsin Sea Grant Institute,
Department of Agricultural Economics, Center for Resource Policy Studies,
University of Wisconsin-Madison. This report builds a profile of the Wisconsin Lake Michigan angler.
Included in the report is a section on the economic impacts of the angler. In
1978, Lake Michigan anglers in Wisconsin spent a total of $16.4 million on
their angling pursuit. Of that, $9.8 million was spent in Wisconsin coastal
counties and $1.8 million in other Wisconsin counties. A cost-benefit analysis
of government expenditures to angler consumer surplus, calculated by
willingness to pay, is also calculated. The study conludes that there were
$2.5 million in government expenditures on Lake Michigan angling in 1978,
while anglers derived a consumer surplus of $7.2 million. This is a return on
government investment of $2.8 to every one dollar invested. Tay, R. S. and P. S. McCarthy. 1994. "Benefits of Improved Water Quality: A
Discrete Choice Analysis of Freshwater Recreational Demands." Environment and
Planning 26(10):1625-1638. Discrete choice methodologies are often used estimate multiple-sites
recreational demands and evaluate the welfare effects of alternative
environmental policies aimed at water quality improvements. This study uses
1985 data on Indiana anglers to estimate a multinomial logit model of
destination choice and compute the benefits of alternative water quality
improvements. In general, the results indicate that anglers are reasonably
sensitive to changes in water quality. The per-trip welfare gains from a 1%
reduction in various pollutants range from 4.9 to 25.3 cents and a similar
reduction in all-pollutants increases per-trip welfare by 64.5 cents. United States Department of the Interior. 1993. 1991 National Survey of
Fishing, Hunting, and Wildlife Associated Recreation - Wisconsin. U.S.
Department of the Interior Fish and Wildlife Services. The Fish and Wildlife Service of the Department of the Interior had the
U.S. Bureau of the Census to conduct a two-phased survey for a national count
of fishermen and hunters and non-consumptive users of wildlife. This report
represented the Wisconsin sample. In the first phase, households were sampled
by phone to determine who had partook in wildlife activities. From this
information, the second phase was conducted which consisted of interviews with
subsamples of fishermen, hunters, and others. This report provided detailed
information such as trip-related expenditures, expenditures for
wildlife-associated recreation, and residential and non-residential
participants. United States Department of the Interior. 1988. 1985
National Survey of Fishing, Hunting, and Wildlife Associated Recreation.
U.S. Department of the Interior Fish and Wildlife Services.
The Fish and Wildlife Service of the Department of the Interior had the U.S. Bureau of the Census to conduct a two-phased survey for a national count of fishermen and hunters and non-consumptive users of wildlife. In the first phase, households were sampled by phone to determine who had partook in wildlife activities. From this information, the second phase was conducted which consisted of interviews with subsamples of fishermen, hunters, and others. This report provided detailed information from this census.