IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v58y1998i3p263-268.html
   My bibliography  Save this article

Generalized hurdle count data regression models

Author

Listed:
  • Gurmu, Shiferaw

Abstract

No abstract is available for this item.

Suggested Citation

  • Gurmu, Shiferaw, 1998. "Generalized hurdle count data regression models," Economics Letters, Elsevier, vol. 58(3), pages 263-268, March.
    • Handle: RePEc:eee:ecolet:v:58:y:1998:i:3:p:263-268
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165-1765(97)00295-4
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gurmu, Shiferaw & Trivedi, Pravin K, 1996. "Excess Zeros in Count Models for Recreational Trips," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(4), pages 469-477, October.
    2. Mullahy, John, 1986. "Specification and testing of some modified count data models," Journal of Econometrics, Elsevier, vol. 33(3), pages 341-365, December.
    3. 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.
    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. Sultana, Zohora & Mishra, Sabyasachee & Cherry, Christopher R. & Golias, Mihalis M. & Tabrizizadeh Jeffers, Saman, 2018. "Modeling frequency of rural demand response transit trips," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 494-505.
    2. Yip, Karen C.H. & Yau, Kelvin K.W., 2005. "On modeling claim frequency data in general insurance with extra zeros," Insurance: Mathematics and Economics, Elsevier, vol. 36(2), pages 153-163, April.
    3. Joan Costa-Font & Sergi Jiménez-Martín & Cristina Villaplana, 2016. "Does Long-Term Care Subsidisation Reduce Unnecessary Hospitalisations?," Working Papers 2016-05, FEDEA.
    4. Joan Costa-i-Font & Sergi Jimenez-Martin & Cristina Vilaplana, 2016. "Does Long-Term Care Subsidisation Reduce Hospital Admissions?," CESifo Working Paper Series 6078, CESifo.
    5. Costa-Font, Joan & Jimenez-Martin, Sergi & Vilaplana, Cristina, 2018. "Does long-term care subsidization reduce hospital admissions and utilization?," Journal of Health Economics, Elsevier, vol. 58(C), pages 43-66.
    6. Sohrabi, Soheil & Paleti, Rajesh & Balan, Lacramioara & Cetin, Mecit, 2020. "Real-time prediction of public bike sharing system demand using generalized extreme value count model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 325-336.
    7. Ana María Martínez-Rodríguez & Antonio Conde-Sánchez & María José Olmo-Jiménez, 2019. "A new approach to truncated regression for count data," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 103(4), pages 503-526, December.
    8. Abdulbaki Bilgic & Wojciech Florkowski & Cuma Akbay, 2010. "Demand for cigarettes in Turkey: an application of count data models," Empirical Economics, Springer, vol. 39(3), pages 733-765, December.
    9. 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.
    10. 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.
    11. Teresa Bago d'Uva & Maarten Lindeboom & Owen O'Donnell & Eddy van Doorslaer, 2011. "Education‐related inequity in healthcare with heterogeneous reporting of health," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(3), pages 639-664, July.
    12. Yen-Sheng Chiang, 2015. "Good Samaritans in Networks: An Experiment on How Networks Influence Egalitarian Sharing and the Evolution of Inequality," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-13, June.
    13. 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).
    14. Sarah Hoeck & Johan Van der Heyden & Joanna Geerts & Guido Van Hal, 2013. "Equity in GP and specialist contacts by older persons in Belgium," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 58(4), pages 593-602, August.
    15. He, Senhui & Fletcher, Stanley M. & Rimal, Arbindra, 2003. "Identifying Factors Influencing Beef, Poultry, And Seafood Consumption," Journal of Food Distribution Research, Food Distribution Research Society, vol. 34(01), pages 1-6, March.
    16. Borislava Mihaylova & Andrew Briggs & Anthony O'Hagan & Simon G. Thompson, 2011. "Review of statistical methods for analysing healthcare resources and costs," Health Economics, John Wiley & Sons, Ltd., vol. 20(8), pages 897-916, 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. Cristian Roner & Claudia Di Caterina & Davide Ferrari, 2021. "Exponential Tilting for Zero-inflated Interval Regression with Applications to Cyber Security Survey Data," BEMPS - Bozen Economics & Management Paper Series BEMPS85, Faculty of Economics and Management at the Free University of Bozen.
    2. 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.
    3. Hoong Chor Chin & Mohammed Abdul Quddus, 2003. "Modeling Count Data with Excess Zeroes," Sociological Methods & Research, , vol. 32(1), pages 90-116, August.
    4. Michael D. Creel & Montserrat Farell, 2001. "Likelihood-Based Approaches to Modeling Demand for Medical Care," UFAE and IAE Working Papers 498.01, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    5. Michael Creel & Montserrat Farell, 2005. "Modeling Usage of Medical Care Services: The Medical Expenditure Panel Survey Data, 1996-2000," UFAE and IAE Working Papers 646.05, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    6. Boncinelli, Fabio & Bartolini, Fabio & Casini, Leonardo, 2018. "Structural factors of labour allocation for farm diversification activities," Land Use Policy, Elsevier, vol. 71(C), pages 204-212.
    7. Bilgic, Abdulbaki & Florkowski, Wojciech J., 2003. "Truncated-At-Zero Count Data Models With Partial Observability: An Application To The Freshwater Fishing Demand In The Southeastern U.S," 2003 Annual Meeting, February 1-5, 2003, Mobile, Alabama 35185, Southern Agricultural Economics Association.
    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. Stefano Mainardi, 2003. "Testing convergence in life expectancies: count regression models on panel data," Prague Economic Papers, Prague University of Economics and Business, vol. 2003(4), pages 350-370.
    10. J. M. C. Santos Silva, 2001. "A score test for non-nested hypotheses with applications to discrete data models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(5), pages 577-597.
    11. Julieta Trías, 2004. "Determinantes de la Utilización de los Servicios de Salud: El caso de los niños en la Argentina," CEDLAS, Working Papers 0009, CEDLAS, Universidad Nacional de La Plata.
    12. Johannes S. Kunz & Kevin E. Staub & Rainer Winkelmann, 2021. "Predicting individual effects in fixed effects panel probit models," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(3), pages 1109-1145, July.
    13. repec:fgv:epgrbe:v:66:n:1:a:3 is not listed on IDEAS
    14. Sarker, Rakhal & Surry, Yves R., 2003. "The Fast Decay Process In Recreational Demand Activities And The Use Of Alternative Count Data Models," Working Papers 34147, University of Guelph, Department of Food, Agricultural and Resource Economics.
    15. Kunz, J.S.; & Staub, K.E.; & Winkelmann, R.;, 2018. "Predicting fixed effects in panel probit models," Health, Econometrics and Data Group (HEDG) Working Papers 18/23, HEDG, c/o Department of Economics, University of York.
    16. Hendrik Jürges, 2007. "Health Insurance Status and Physician-Induced Demand for Medical Services in Germany: New Evidence from Combined District and Individual Level Data," Discussion Papers of DIW Berlin 689, DIW Berlin, German Institute for Economic Research.
    17. Jeong, Hanbat & Lee, Lung-fei, 2024. "Maximum likelihood estimation of a spatial autoregressive model for origin–destination flow variables," Journal of Econometrics, Elsevier, vol. 242(1).
    18. David Zimmer, 2010. "The effect of double coverage on health care utilization of children," Applied Economics, Taylor & Francis Journals, vol. 42(24), pages 3105-3117.
    19. M. Jahangir Alam, "undated". "Prevalence and Costs of Childhood Diarrhoea in the Slums of Dhaka," Working papers 46, The South Asian Network for Development and Environmental Economics.
    20. Wesley Bertoli & Katiane S. Conceição & Marinho G. Andrade & Francisco Louzada, 2018. "On the zero-modified Poisson–Shanker regression model and its application to fetal deaths notification data," Computational Statistics, Springer, vol. 33(2), pages 807-836, June.
    21. Bilgic, Abdulbaki & Florkowski, Wojciech J., 2003. "Explaning Anglers Behavior Using Count Data Models With Endogenous Switching Regime," 2003 Annual meeting, July 27-30, Montreal, Canada 22087, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

    More about this item

    Statistics

    Access and download statistics

    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:eee:ecolet:v:58:y:1998:i:3:p:263-268. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    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.