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Quality as A Latent Variable in Recreation Access Analysis

Published online by Cambridge University Press:  28 April 2015

E. Jane Luzar ,
Christopher Gan ,
Barun Kanjilal  and
Mark Messonnier
E. Jane Luzar
Affiliation:
Department of Agricultural Economics and Agribusiness at Louisiana State University Agricultural Center at Baton Rouge, Louisiana
Christopher Gan
Affiliation:
Department of Agricultural Economics and Agribusiness at Louisiana State University Agricultural Center at Baton Rouge, Louisiana
Barun Kanjilal
Affiliation:
Department of Agricultural Economics and Agribusiness at Louisiana State University Agricultural Center at Baton Rouge, Louisiana
Mark Messonnier
Affiliation:
Department of Agricultural Economics and Agribusiness at Louisiana State University Agricultural Center at Baton Rouge, Louisiana
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Abstract

Recreation trends indicating an increasing demand for quality recreation experiences suggest the need for special consideration of quality in analysis of fee access recreation. By viewing quality as a subjective latent variable, this paper uses a simultaneous equation framework to consider the use of subjective versus objective appraisals of quality in fee-based recreation access analysis.

Keywords

latent variablequalityrecreation
Type
Articles
Information
Journal of Agricultural and Applied Economics , Volume 24 , Issue 2 , December 1992 , pp. 105 - 112
Copyright
Copyright © Southern Agricultural Economics Association 1992

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References

Anderson, E.B. “Latent Trait Models.” J. Econometrics, 22(1983):215–227.CrossRefGoogle Scholar
Ballweg, J. “Testing Total Design Method Modifications with Mail Surveys During a Southern Farm Study.” Southern Rural Sociology, 8(1991):51–58.Google Scholar
Bartholomew, D.J. “Latent Variable Models for Ordered Categorical Data.” J. Econometrics, 22(1983):229–243.CrossRefGoogle Scholar
Bender, P.M., and Weeks, D.G.. “Linear Structural Equations With Latent Variables.” Psychometrika. 45(1980):289–308.Google Scholar
Burt, R.S. “hnerpretational Confounding of Unobserved Variables in Structural Equation Models.” Sociological Meth. and Res., 5(1976):3–51.CrossRefGoogle Scholar
De Leeuw, J., Keller, W.J., and Wansbeek, T.. “Editors' introduction.” J. Econometrics, 22(1983):1–12.Google Scholar
Deyak, T. A., and Smith, V. K.. “Congestion and Participation in Outdoor Recreation: A Household Production Function Approach.” J. Envir. Econ. and Man., 5.1(1978): 63–80.Google Scholar
Dijkstra, T. “Some Comments on Maximum Liklihood and Partial Least Squares Methods.” J. Econometrics, 22(1983):67–90.CrossRefGoogle Scholar
Dillman, D.A.Mail and Telephone Surveys. New York: John Wiley and Sons, 1978.Google Scholar
Everitt, B.S.An Introduction to Latent Variable Models. New York: Chapman and Hall, 1984.CrossRefGoogle Scholar
Forneil, C., and Larcker, D.F.. “Structural Equation Models with Unobservable Variables and Measurement Errors: Algebra and Statistics.” J. Marketing Res., 18(1981):382–388.CrossRefGoogle Scholar
Griliches, Z., ed. Price Indexes and Quality Changes: Studies in New Methods of Measurement. Cambridge, MA: Harvard U. Press, 1971.CrossRefGoogle Scholar
Gunter, B.G. “The Leisure Experience: Selected Properties.” J. Leisure Res., 19.2(1987): 115–130.CrossRefGoogle Scholar
Gunter, B.G. “Some Properties of Leisure.” In Ibrahim, H. and Crandall, R., (eds.), Leisure: A Psychological Approach. Los Alamitos, CA: Hwong, 1979.Google Scholar
Henderson, M.E., Morris, L.L., and Fitz-Gibbons, C.T.. How to Measure Attitudes. Los Angeles, CA: Sage Publications, 1987.Google Scholar
Hula, G.J., Wingard, J.A., and Bentler, P.M.. “A Comparison of Two Latent Variable Casual Models for Adolescent Drag Use.” J. Personal Social Psych. 40(1981): 180–193.Google Scholar
Joreskog, K.G., and Goldberger, S.A.. “Estimation of a Model with Multiple Indicators and Multiple Causes of a Single Latent Variable.” J. Amer. Stat. Assoc., 79(1975): 631–639.Google Scholar
Judge, G.G., Hill, R.C., Griffiths, W.E., Lutkepohl, H., and Lee, T.C. Introductory to Theory and Practice of Econometrics. New York: John Wiley and Sons, 1988.Google Scholar
Katzner, D.W.Analysis Without Measurement. Cambridge: Cambridge U. Press, 1983.CrossRefGoogle Scholar
Kenny, D. A., and Greenberg, D.F.. “Estimating the Nonlinear and Interactive Effects of Latent Variables.” Psych. Bull., 96(1984):201–209.CrossRefGoogle Scholar
Lancaster, K.J. “A New Approach to Consumer Theory.” J. of Pol. Econ. 74(1966): 132–157.CrossRefGoogle Scholar
Langner, Linda L. “The Demand for Outdoor Recreation.” In Rural Development Aspects of Recreation Enterprises, Technical Session. Paper presented at the annual meeting of the Am. Assoc. for the Adv. of Sci., Washington, DC, February 1991.Google Scholar
Livengood, K.R. “Value of Big Game from Markets for Hunting Leases: The Hedonic Approach.” Land Econ., 59(1983):287–291.CrossRefGoogle Scholar
Luzar, E.J., and Gan, C.. “Economics Issues in Outdoor Recreation.” In Rural Development Aspects of Recreation Enterprises, Technical Session. Paper presented at the annual meeting of the Am. Assoc. for the Adv. of Sci., Washington, DC, February 1991.Google Scholar
Maddala, G.S.Limited-Dependent and Qualitative Variable in Econometrics. New York: Cambridge U. Press, 1983.CrossRefGoogle Scholar
Mercer, D. “The Role of Perception in the Recreation Experience: A Review and Discussion.” J. Leisure Res., 3.4 (1971): 261–276.CrossRefGoogle Scholar
Messonnier, M.L., and Luzar, E.J.. “A Hedonic Analysis of Private Hunting Land Attributes Using an Alternative Functional Form.” So. J. Agr. Econ. 22.2(1990): 129–135.Google Scholar
Miller, J.R., Prato, A.A., and Young, R.A.. “Congestion, Success, and the Value of Colorado Deer Hunting Experiences.” Transactions of the Forty-Second North American Wildlife Conference. 4(1977):129–136.Google Scholar
Muthen, Bengt. “A General Structural Equation Model with Dichotomous, Ordered Categorical, and Continuous Latent Variable Indicators.” Psychometrika, 49(1984): 115–132.CrossRefGoogle Scholar
Muthen, Bengt. “Latent Variables Structural Equation Modeling with Categorical Data.” J. of Econometrics, 22(1983):43–65.CrossRefGoogle Scholar
Nortis, P.E., and Koontz, S.R.. “Using Scale Data to Measure Attitudes in Applied Research: Practical and Statistical Questions.” Paper Presented at the Annual Conference of the So. Agr. Econ. Assoc., Fort Worth, Texas, Feb., 1991.Google Scholar
Peterson, G.L. “Evaluating the Quality of the Wildemess Environment: Congruence Between Perception and Aspiration.” Environment and Behavior, 6(1974): 169–193.Google Scholar
Pope, C.A., and Stoll, J.R.. “The Market Value of Ingress Rights for White-Tailed Deer Hunting in Texas.” So. J. Agri. Econ., 17(1984):177–182.Google Scholar
Pope, C.A., Adams, C.E., and Thomas, J.K.. “The Recreational and Aesthetic Values of Wildlife in Texas.” J. Leisure Res., 16(1985):177–182.Google Scholar
Schreyer, R. “Experience Level Affects Expectations for Participation.” In Lime, D.W., ed., Forest and River Recreation: Research Update, Minn. Agriculture Experiment Station, University of Minnesota, Misc. Pub. 18(1982): 154–159.Google Scholar
Schreyer, R., Lime, D.W., and William, D.R.. “Characterizing the Influence of Past Experience on Recreation Behavior.” J. Leisure Res., 6(1984):34–50.CrossRefGoogle Scholar
Studenmund, A.H., and Cassidy, H.J.. Using Econometrics: A Practical Guide. Boston: Little Brown and Company, 1987.Google Scholar
Tinsley, H.E.A., and Tinsley, D.J.. “A Theory of the Attributes, Benefits, and Causes of Leisure Experience.” Leisure Science, 8(1986): 1–45.CrossRefGoogle Scholar
Walsh, R.G., Miller, N.P., and Gilliam, L.O.. “Congestion and Willingness to Pay for Expansion of Skiing Capacity.” Land Econ., 59.2(1983): 195–210.CrossRefGoogle Scholar
Whelan, T.Nature Tourism. Washington, D.C: Island Press, 1991.Google Scholar
Witt, P.A., and Ellis, G.D.. “Development of a Short Form to Assess Perceived Freedom in Leisure.” J. Leisure Res., 17.3(1985): 225–233.CrossRefGoogle Scholar
Wolfe, B.A., and Behrman, J.R.. “Deterrninants of Women's Health Status and Health-Care Utilization in a Developing Country: A Latent Variable Approach.” Rev. Econ. and Stat., 66.4(1984): 696–703.CrossRefGoogle Scholar