IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v78y2003i3p373-378.html
   My bibliography  Save this article

A bivariate zero-inflated negative binomial regression model for count data with excess zeros

Author

Listed:
  • Wang, Peiming

Abstract

No abstract is available for this item.

Suggested Citation

  • Wang, Peiming, 2003. "A bivariate zero-inflated negative binomial regression model for count data with excess zeros," Economics Letters, Elsevier, vol. 78(3), pages 373-378, March.
    • Handle: RePEc:eee:ecolet:v:78:y:2003:i:3:p:373-378
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165-1765(02)00262-8
    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. Freund, Deborah A. & Kniesner, Thomas J. & LoSasso, Anthony T., 1999. "Dealing with the common econometric problems of count data with excess zeros, endogenous treatment effects, and attrition bias," Economics Letters, Elsevier, vol. 62(1), pages 7-12, January.
    2. Gurmu, Shiferaw & Elder, John, 2000. "Generalized bivariate count data regression models," Economics Letters, Elsevier, vol. 68(1), pages 31-36, July.
    3. A. C. Cameron & P. K. Trivedi & Frank Milne & J. Piggott, 1988. "A Microeconometric Model of the Demand for Health Care and Health Insurance in Australia," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 55(1), pages 85-106.
    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. Sarah Brown & Alan Duncan & Mark N. Harris & Jennifer Roberts & Karl Taylor, 2015. "A Zero-Inflated Regression Model for Grouped Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(6), pages 822-831, December.
    2. Jörgen Hellström, 2006. "A bivariate count data model for household tourism demand," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(2), pages 213-226, March.
    3. Bermúdez, Lluís & Karlis, Dimitris, 2012. "A finite mixture of bivariate Poisson regression models with an application to insurance ratemaking," Computational Statistics & Data Analysis, Elsevier, vol. 56(12), pages 3988-3999.
    4. Qiang Liang & Xinchun Li & Xueru Yang & Danming Lin & Danhui Zheng, 2013. "How does family involvement affect innovation in China?," Asia Pacific Journal of Management, Springer, vol. 30(3), pages 677-695, September.
    5. Dong, Chunjiao & Nambisan, Shashi S. & Richards, Stephen H. & Ma, Zhuanglin, 2015. "Assessment of the effects of highway geometric design features on the frequency of truck involved crashes using bivariate regression," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 30-41.
    6. Hellström, Jörgen & Nordström, Jonas, 2012. "Demand and welfare effects in recreational travel models: Accounting for substitution between number of trips and days to stay," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 446-456.
    7. Ho, Woon-Yee & Wang, Peiming & Alba, Joseph D., 2009. "Merger and acquisition FDI, relative wealth and relative access to bank credit: Evidence from a bivariate zero-inflated count model," International Review of Economics & Finance, Elsevier, vol. 18(1), pages 26-30, January.
    8. Gurmu, Shiferaw & Elder, John, 2008. "A bivariate zero-inflated count data regression model with unrestricted correlation," Economics Letters, Elsevier, vol. 100(2), pages 245-248, August.
    9. Hellström, Jörgen & Nordström, Jonas, 2005. "Demand and Welfare Effects in Recreational Travel Models: A Bivariate Count Data Approach," Umeå Economic Studies 648, Umeå University, Department of Economics.
    10. Bermúdez i Morata, Lluís, 2009. "A priori ratemaking using bivariate Poisson regression models," Insurance: Mathematics and Economics, Elsevier, vol. 44(1), pages 135-141, February.
    11. Rodrigo M Corder & Gilberto A Paula & Anaclara Pincelli & Marcelo U Ferreira, 2019. "Statistical modeling of surveillance data to identify correlates of urban malaria risk: A population-based study in the Amazon Basin," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-14, August.
    12. Vera Hofer & Johannes Leitner, 2012. "A bivariate Sarmanov regression model for count data with generalised Poisson marginals," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(12), pages 2599-2617, August.
    13. Partha Deb & Pravin K. Trivedi, 2012. "Empirical Models of Health Care Use," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 14, Edward Elgar Publishing.
    14. Wang, Peiming & Alba, Joseph D. & Park, Donghyun, 2012. "Corporate governance and FDI: Firm-level evidence from Japanese FDI into the US," International Review of Economics & Finance, Elsevier, vol. 24(C), pages 43-50.
    15. Wen, Hefei & Hockenberry, Jason M. & Cummings, Janet R., 2015. "The effect of medical marijuana laws on adolescent and adult use of marijuana, alcohol, and other substances," Journal of Health Economics, Elsevier, vol. 42(C), pages 64-80.
    16. Subhayu Bandyopadhyay & Cletus C. Coughlin, 2014. "Determinants of trade margins: insights using state export data," Working Papers 2014-6, Federal Reserve Bank of St. Louis.
    17. Tzougas, George & di Cerchiara, Alice Pignatelli, 2021. "Bivariate mixed Poisson regression models with varying dispersion," LSE Research Online Documents on Economics 114327, London School of Economics and Political Science, LSE Library.
    18. repec:ebl:ecbull:v:3:y:2007:i:11:p:1-10 is not listed on IDEAS
    19. So, Sunha & Lee, Dong-Hee & Jung, Byoung Cheol, 2011. "An alternative bivariate zero-inflated negative binomial regression model using a copula," Economics Letters, Elsevier, vol. 113(2), pages 183-185.
    20. Shiferaw Gurmu & John Elder, 2007. "A simple bivariate count data regression model," Economics Bulletin, AccessEcon, vol. 3(11), pages 1-10.
    21. 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.
    22. Derek S. Young & Andrew M. Raim & Nancy R. Johnson, 2017. "Zero-inflated modelling for characterizing coverage errors of extracts from the US Census Bureau's Master Address File," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(1), pages 73-97, January.

    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. Marco Alfò & Giovanni Trovato, 2004. "Semiparametric Mixture Models for Multivariate Count Data, with Application," CEIS Research Paper 51, Tor Vergata University, CEIS.
    2. Gian Luigi Albano & Federico Dini & Roberto Zampino & Marta Fana, 2008. "The Determinants of Suppliers’ Performance in E-Procurement: Evidence from the Italian Government’s E-Procurement Platform," Working Papers 2008.49, Fondazione Eni Enrico Mattei.
    3. Felix Famoye & Carl Lee, 2017. "Exponentiated-exponential geometric regression model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(16), pages 2963-2977, December.
    4. Albano, Gian Luigi & Dini, Federico & Zampino, Roberto & Fana, Marta, 2008. "The Determinants of Suppliers’ Performance in E-Procurement: Evidence from the Italian Government’s E-Procurement Platform," Privatisation Regulation Corporate Governance Working Papers 37672, Fondazione Eni Enrico Mattei (FEEM).
    5. Hossein Zamani & Pouya Faroughi & Noriszura Ismail, 2016. "Bivariate generalized Poisson regression model: applications on health care data," Empirical Economics, Springer, vol. 51(4), pages 1607-1621, December.
    6. Tansel, Aysit & Keskin, Halil Ibrahim, 2017. "Education Effects on Days Hospitalized and Days out of Work by Gender: Evidence from Turkey," IZA Discussion Papers 11210, Institute of Labor Economics (IZA).
    7. Trottmann, Maria & Zweifel, Peter & Beck, Konstantin, 2012. "Supply-side and demand-side cost sharing in deregulated social health insurance: Which is more effective?," Journal of Health Economics, Elsevier, vol. 31(1), pages 231-242.
    8. Noel Perceval Assogba & Daowei Zhang, 2020. "An Economic Analysis of Tropical Forest Resource Conservation in a Protected Area," Sustainability, MDPI, vol. 12(14), pages 1-12, July.
    9. Felipa de Mello-Sampayo & Sofia de Sousa-Vale, 2014. "Financing Health Care Expenditure in the OECD Countries: Evidence from a Heterogeneous, Cross-Sectional Dependent Panel," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 61(2), pages 207-225, March.
    10. Deb, Partha & Trivedi, Pravin K., 2002. "The structure of demand for health care: latent class versus two-part models," Journal of Health Economics, Elsevier, vol. 21(4), pages 601-625, July.
    11. Partha Deb & Chenghui Li & Pravin K. Trivedi & David M. Zimmer, 2006. "The effect of managed care on use of health care services: results from two contemporaneous household surveys," Health Economics, John Wiley & Sons, Ltd., vol. 15(7), pages 743-760, July.
    12. Daniele Fabbri & Chiara Monfardini, 2016. "Opt Out or Top Up? Voluntary Health Care Insurance and the Public vs. Private Substitution," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(1), pages 75-93, February.
    13. 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.
    14. Rahelizatovo, Noro C. & Gillespie, Jeffrey M., 2004. "The Adoption of Best-Management Practices by Louisiana Dairy Producers," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 36(1), pages 229-240, April.
    15. Aida Isabel Tavares & Inês Marques, 2021. "Multi-layer health insurance coverage, medical services use and health in a Universal National Health System, the case of Portugal," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(1), pages 141-153, February.
    16. A. Colin Cameron & Per Johansson, 2004. "Bivariate Count Data Regression Using Series Expansions: With Applications," Working Papers 9815, University of California, Davis, Department of Economics.
    17. Atella, Vincenzo & Deb, Partha, 2008. "Are primary care physicians, public and private sector specialists substitutes or complements? Evidence from a simultaneous equations model for count data," Journal of Health Economics, Elsevier, vol. 27(3), pages 770-785, May.
    18. Angulo, Ana María & Barberán, Ramón & Egea, Pilar & Mur, Jesús, 2011. "An analysis of health expenditure on a microdata population basis," Economic Modelling, Elsevier, vol. 28(1), pages 169-180.
    19. Dubey, Jay Dev, 2020. "Income elasticity of demand for health care and it's change over time: Across the income groups and levels of health expenditure in India," Working Papers 20/324, National Institute of Public Finance and Policy.
    20. Y. Machnes, 2006. "The demand for private health care under national health insurance," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 7(4), pages 265-269, December.

    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:78:y:2003:i:3:p:373-378. 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.