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Measuring angling quality in count data models of recreational fishing

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Author Info
Jeffrey Englin
David Lambert

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Abstract

This paper develops a methodology for investigating different specifications of angling quality in recreational demand models. The methodology is used to compare three alternative specifications of the relationship between angling demand and site quality. The site quality alternatives include chemical concentrations, biological stress indices based on the chemicals, and catch per unit effort. The three alternatives are differentiated using a likelihood ratio non-nested testing procedure. Copyright Kluwer Academic Publishers 1995

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File URL: http://hdl.handle.net/10.1007/BF00691821
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Publisher Info
Article provided by European Association of Environmental and Resource Economists in its journal Environmental & Resource Economics.

Volume (Year): 6 (1995)
Issue (Month): 4 (December)
Pages: 389-399
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:kap:enreec:v:6:y:1995:i:4:p:389-399

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Web page: http://www.springerlink.com/link.asp?id=100263

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Related research
Keywords: count data; travel cost; fishing; non-nested tests; willingness-to-pay;

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

  1. Cropper, Maureen L & Oates, Wallace E, 1992. "Environmental Economics: A Survey," Journal of Economic Literature, American Economic Association, vol. 30(2), pages 675-740, June. [Downloadable!] (restricted)
  2. Creel, Michael D. & Loomis, John B., 1992. "Modeling hunting demand in the presence of a bag limit, with tests of alternative specifications," Journal of Environmental Economics and Management, Elsevier, vol. 22(2), pages 99-113, March. [Downloadable!] (restricted)
  3. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-33, March. [Downloadable!] (restricted)
  4. Cameron, A Colin & Trivedi, Pravin K, 1986. "Econometric Models Based on Count Data: Comparisons and Applications of Some Estimators and Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(1), pages 29-53, January. [Downloadable!] (restricted)
  5. Davidson, Russell & MacKinnon, James G, 1981. "Several Tests for Model Specification in the Presence of Alternative Hypotheses," Econometrica, Econometric Society, vol. 49(3), pages 781-93, May. [Downloadable!] (restricted)
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  6. Grogger, J T & Carson, Richard T, 1991. "Models for Truncated Counts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 6(3), pages 225-38, July-Sept. [Downloadable!] (restricted)
  7. Shaw, Daigee, 1988. "On-site samples' regression : Problems of non-negative integers, truncation, and endogenous stratification," Journal of Econometrics, Elsevier, vol. 37(2), pages 211-223, February. [Downloadable!] (restricted)
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Smith, V. Kerry & Van Houtven, George & Pattanayak, Subhrendu, 1999. "Benefit Transfer as Preference Calibration," Discussion Papers dp-99-36, Resources For the Future. [Downloadable!]
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This page was last updated on 2009-11-7.


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