Multivariate count data regression models with individual panel data from an on-site sample

Journal of Environmental Economics and Management

Volumn 52, Issue 2, 2006, Pages 567-581

  Egan, Kevin ^a   Herriges, Joseph ^b  

^a UNIVERSITY OF TOLEDO   (United States)

^b IOWA STATE UNIVERSITY   (United States)

Author keywords

Count data model; On site sampling; Recreation

Indexed keywords

COUNT DATA MODEL; MULTIVARIATE POISSON-LOG NORMAL (MPLN) MODEL; ON-SITE SAMPLING; RECREATION;

CONTROLLABILITY; MATHEMATICAL MODELS; QUALITY ASSURANCE; SAMPLING;

REGRESSION ANALYSIS;

MULTIVARIATE ANALYSIS; NUMERICAL MODEL; RECREATIONAL MANAGEMENT; REGRESSION ANALYSIS;

EID: 33748051409     PISSN: 00950696     EISSN: 10960449     Source Type: Journal    
DOI: 10.1016/j.jeem.2006.03.002     Document Type: Article

References (28)

1. Aitchison J., and Ho C.H. The multivariate poisson-log normal distribution. Biometrika 76 (1989) 643-653
2. Arbous A.G., and Kerrich J.E. Accident statistics and the concept of accident proneness. Biometrika 37 (1951) 340-431
3. Azevedo C.D., Herriges J.A., and Kling C.L. Combining revealed and stated preferences: consistency test and their Interpretations. Amer. J. Agr. Econ. 85 (2003) 525-537
4. Bates G.E., and Neyman J. Contributions to the theory of accident proneness I: an optimistic model of the correlation between light and severe accidents. Univ. Calif. Publ. Statist. 1 (1952) 212-253
5. Cameron A.C., and Trivedi P.K. Regression Analysis of Count Data (1998), Cambridge University Press, Cambridge
6. Creel M.D., and Loomis J.B. Theoretical and empirical advantages of truncated count data estimators for analysis of deer hunting in California. Amer. J. Agr. Econ. 72 (1990) 434-441
7. Englin J., and Cameron T.A. Augmenting travel cost models with contingent behavior data; poisson regression analyses with individual panel data. Environ. Resource Econ. 7 (1996) 133-147
8. Englin J., Loomis J.B., and Gonzalez-Caban A. The dynamic path of recreational values following a forest fire: a comparative analysis of states in the Intermountain West. Can. J. For. Res. 31 10 (2001) 1837-1844
9. Englin J., and Shonkwiler J.S. Estimating social welfare using count data models: an application to long-run recreation demand under conditions of endogenous stratification and truncation. Rev. Econ. Statist. 77 1 (1995) 104-112
10. Grijalva T.C., Berrens R.P., Bohara A.K., and Shaw W.D. Testing the Validity of Contingent Behavior Trip Responses. Amer. J. Agr. Econ. 84 2 (2002) 401-414
11. Grogger J.T., and Carson R.T. Models for truncated counts. J. Appl. Econometrics 6 3 (1991) 225-238
12. Hausman J., Hall B.H., and Griliches Z. Econometric Models for Count Data with an Application to the Patents-R & D Relationship. Econometrica 52 4 (1984) 909-938
13. Hess S., Train K., and Polak J. On the use of a Modified Latin Hypercube Sampling (MLHS) method in the estimation of a mixed logit model for vehicle choice. Transp. Res. Part B 40 (2006) 147-163
14. Jain K., and Nanda A.K. On multivariate weighted distributions. Communications Statist. - Theory Methods 24 (1995) 2517-2539
15. J.T. LaFrance, W.M. Hanemann, On the integration of some common demand systems, Staff Papers in Economics 83-10, Montana State University, October (rev.)
16. Laitila T. Estimation of combined site-choice and trip-frequency models of recreational demand using choice-based and on-site samples. Econ Letters 64 (1999) 17-23
17. Moeltner K., and Shonkwiler J.S. Correcting for on-site sampling in random utility models. Amer J. Agr. Econ. 87 2 (2005) 327-339
18. Munkin M.K., and Trivedi P.K. Simulated maximum likelihood estimation of multivariate mixed-poisson regression models, with application. Econometrics J. 2 (1999) 29-48
19. Nelson J.F. Multivariate gamma-poisson models. J. Amer Statist Assoc. 80 (1985) 254-283
20. Patil G.P., and Rao C.R. Weighted distributions and size-biased sampling with applications to wildlife populations and human families. Biometrics 34 (1978) 179-189
21. Rosenberger R.S., and Loomis J.B. The value of ranch open space to tourists: combining observed and contingent behavior data. Growth Change 30 (1999) 366-383
22. Shaw D. On-site samples regression: problems of non-negative integers, truncation, and endogenous stratification. J. Econometrics 37 (1988) 211-223
23. J.S. Shonkwiler, 1995. Systems of Travel Cost Models of Recreation Demand, (1995), W-133 paper.
24. Shonkwiler J.S. Recreation demand systems for multiple site count data travel cost models. In: Herriges J.A., and Kling C.L. (Eds). Valuing Recreation Demand and the Environment: Revealed Preference Methods in Theory and Practice (1999), Edward Elgar, Cheltenham, UK 253-270
25. Smith V.K., and Desvousges W.H. The generalized travel cost model and water quality benefits: a reconsideration. South Econ. J. 52 (1985) 371-381
26. Whitehead J.C., Haab T.C., and Huang J. Measuring recreation benefits of quality improvements with revealed and stated behavior data. Resource and Energy Econ 22 (2000) 339-354
27. Rainer W. Econometric Analysis of Count Data (2000), Springer-Verlag, New York
28. Rainer W. Seemingly Unrelated Negative Binomial Regression. Oxford Bull. Econ. Statist. 62 4 (2000) 553-560