IDEAS home Printed from https://ideas.repec.org/p/ags/aaea00/21849.html
   My bibliography  Save this paper

Estimation Of Minimum Demand Thresholds: An Application Of Count Data Procedures With The Existence Of Excess Zero Observations

Author

Listed:
  • Harris, Thomas R.
  • Yen, Steven T.
  • Deller, Steven C.

Abstract

Count data models that incorporate the existence of excess zero observations were employed to estimate minimum demand thresholds for rural Wisconsin retail sectors. It was found that single- and double-hurdle models improved the estimation of rural retail minimum demand thresholds.

Suggested Citation

  • Harris, Thomas R. & Yen, Steven T. & Deller, Steven C., 2000. "Estimation Of Minimum Demand Thresholds: An Application Of Count Data Procedures With The Existence Of Excess Zero Observations," 2000 Annual meeting, July 30-August 2, Tampa, FL 21849, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea00:21849
    DOI: 10.22004/ag.econ.21849
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/21849/files/sp00ha01.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.21849?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Shonkwiler, John Scott & Shaw, W. Douglass, 1996. "Hurdle Count-Data Models In Recreation Demand Analysis," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 21(2), pages 1-10, December.
    2. Thomas R. Harris & Kalyan Chakraborty & Lijuan Xiao & Rangesan Narayanan, 1996. "Application Of Count Data Procedures To Estimate Thresholds For Rural Commercial Sectors," The Review of Regional Studies, Southern Regional Science Association, vol. 26(1), pages 75-88, Summer.
    3. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
    4. Dean Howard Smith, 1994. "Native American Economic Development: A Modern Approach," The Review of Regional Studies, Southern Regional Science Association, vol. 24(1), pages 87-102, Summer.
    5. Winfried Pohlmeier & Volker Ulrich, 1995. "An Econometric Model of the Two-Part Decisionmaking Process in the Demand for Health Care," Journal of Human Resources, University of Wisconsin Press, vol. 30(2), pages 339-361.
    6. Deller, Steven C. & Chicoine, David L., 1989. "Economic Diversification and the Rural Economy: Evidence from Consumer Behavior," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 19(2), pages 1-15.
    7. Cragg, John G, 1971. "Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods," Econometrica, Econometric Society, vol. 39(5), pages 829-844, September.
    8. Gurmu, Shiferaw, 1998. "Generalized hurdle count data regression models," Economics Letters, Elsevier, vol. 58(3), pages 263-268, March.
    9. Mullahy, John, 1986. "Specification and testing of some modified count data models," Journal of Econometrics, Elsevier, vol. 33(3), pages 341-365, December.
    10. Blundell, Richard & Meghir, Costas, 1987. "Bivariate alternatives to the Tobit model," Journal of Econometrics, Elsevier, vol. 34(1-2), pages 179-200.
    11. William F. Fox & Tim R. Smith, 1990. "Economic development programs for states in the 1990s," Economic Review, Federal Reserve Bank of Kansas City, vol. 75(Jul), pages 25-35.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kalyan Chakraborty, 2012. "Estimation of Minimum Market Threshold for Retail Commercial Sectors," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 18(3), pages 271-286, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. R. Martínez-Espiñeira, 2007. "‘Adopt a Hypothetical Pup’: A Count Data Approach to the Valuation of Wildlife," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 37(2), pages 335-360, June.
    2. Steven T. Yen & Chao‐Hsiun Tang & Shew‐Jiuan B. Su, 2001. "Demand for traditional medicine in Taiwan: a mixed Gaussian–Poisson model approach," Health Economics, John Wiley & Sons, Ltd., vol. 10(3), pages 221-232, April.
    3. Mark N. Harris & Xueyan Zhao, 2004. "Modelling Tobacco Consumption with a Zero-Inflated Ordered Probit Model," Monash Econometrics and Business Statistics Working Papers 14/04, Monash University, Department of Econometrics and Business Statistics.
    4. Harris, Mark N. & Zhao, Xueyan, 2007. "A zero-inflated ordered probit model, with an application to modelling tobacco consumption," Journal of Econometrics, Elsevier, vol. 141(2), pages 1073-1099, December.
    5. Harris, Thomas R. & Shonkwiler, John Scott & Lin, Yuanfang, 2001. "Application Of Discrete Normal Distribution For Dynamic Rural Retail Sector Analysis: Preliminary Results," 2001 Annual meeting, August 5-8, Chicago, IL 20456, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Bilgic, Abdulbaki & Florkowski, Wojciech J., 2003. "Application Of Hurdle Negative Binomial Count Data Model To Demand For Black Bass Fishing In The Southeastern United States," 2003 Annual Meeting, February 1-5, 2003, Mobile, Alabama 35079, Southern Agricultural Economics Association.
    7. Antonio Clavero Barranquero & Mª. Luz González Alvarez, 2005. "A survey of econometric models to analyze the demand and utilisation of health care," Hacienda Pública Española / Review of Public Economics, IEF, vol. 173(2), pages 129-162, June.
    8. Ulf‐ G. Gerdtham, 1997. "Equity in Health Care Utilization: Further Tests Based on Hurdle Models and Swedish Micro Data," Health Economics, John Wiley & Sons, Ltd., vol. 6(3), pages 303-319, May.
    9. repec:fgv:epgrbe:v:66:n:1:a:3 is not listed on IDEAS
    10. Daniel Biftu Bekalo & Dufera Tejjeba Kebede, 2021. "Zero-Inflated Models for Count Data: An Application to Number of Antenatal Care Service Visits," Annals of Data Science, Springer, vol. 8(4), pages 683-708, December.
    11. Mathias Sinning, 2011. "Determinants of savings and remittances: empirical evidence from immigrants to Germany," Review of Economics of the Household, Springer, vol. 9(1), pages 45-67, March.
    12. Jiang, Yuan & House, Lisa A., 2017. "Comparison of the Performance of Count Data Models under Different Zero-Inflation Scenarios Using Simulation Studies," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258342, Agricultural and Applied Economics Association.
    13. Jiang, Yuan & House, Lisa & Tejera, Christian & Percival, Susan S., 2015. "Consumption of Mushrooms: A double-hurdle Approach," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196902, Southern Agricultural Economics Association.
    14. David Aristei & Federico Perali & Luca Pieroni, 2008. "Cohort, age and time effects in alcohol consumption by Italian households: a double-hurdle approach," Empirical Economics, Springer, vol. 35(1), pages 29-61, August.
    15. Teresa Bago d'Uva, 2006. "Latent class models for utilisation of health care," Health Economics, John Wiley & Sons, Ltd., vol. 15(4), pages 329-343, April.
    16. Sirchenko Andrei, 2012. "A model for ordinal responses with an application to policy interest rate," EERC Working Paper Series 12/13e, EERC Research Network, Russia and CIS.
    17. Majo, M.C., 2010. "A microeconometric analysis of health care utilization in Europe," Other publications TiSEM 1cf5fd2f-8146-4ef8-8eb5-e, Tilburg University, School of Economics and Management.
    18. Kuntner, Tobias & Teichert, Thorsten, 2017. "Price Promotions: Enablers or Obstacles for Brand-Led Innovation Adoption – A Double-Hurdle Approach," EconStor Preprints 157297, ZBW - Leibniz Information Centre for Economics.
    19. David Aristei & Luca Pieroni, 2008. "A double-hurdle approach to modelling tobacco consumption in Italy," Applied Economics, Taylor & Francis Journals, vol. 40(19), pages 2463-2476.
    20. Sisira Sarma & Wayne Simpson, 2006. "A microeconometric analysis of Canadian health care utilization," Health Economics, John Wiley & Sons, Ltd., vol. 15(3), pages 219-239, March.
    21. Moon, Wanki, 2002. "Estimating The Effect Of Health Knowledge In The Consumption Of Soy-Based Foods," 2002 Annual meeting, July 28-31, Long Beach, CA 19681, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:aaea00:21849. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.