lynx   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/zur/econwp/061.html
   My bibliography  Save this paper

Modelling zero-inflated count data when exposure varies: with an application to sick leave

Author

Listed:
  • Gregori Baetschmann
  • Rainer Winkelmann
Abstract
This paper is concerned with the analysis of zero-inflated count data when time of exposure varies. It proposes a new zero-inflated count data model that is based on two homogeneous Poisson processes and accounts for exposure time in a theory consistent way. The new model is used in an application to the effect of insurance generosity on the number of absent days.

Suggested Citation

  • Gregori Baetschmann & Rainer Winkelmann, 2012. "Modelling zero-inflated count data when exposure varies: with an application to sick leave," ECON - Working Papers 061, Department of Economics - University of Zurich.
    • Handle: RePEc:zur:econwp:061
    as

    Download full text from publisher

    File URL: https://www.zora.uzh.ch/id/eprint/59265/1/econwp061.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jones, A., 2007. "Applied Econometrics for Health Economists: A Practical Guide," Monographs, Office of Health Economics, number 000262.
    2. Pizer, Steven D. & Prentice, Julia C., 2011. "Time is money: Outpatient waiting times and health insurance choices of elderly veterans in the United States," Journal of Health Economics, Elsevier, vol. 30(4), pages 626-636, July.
    3. Rainer Winkelmann, 2008. "Econometric Analysis of Count Data," Springer Books, Springer, edition 0, number 978-3-540-78389-3, March.
    4. 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.
    5. Nazmi Sari, 2009. "Physical inactivity and its impact on healthcare utilization," Health Economics, John Wiley & Sons, Ltd., vol. 18(8), pages 885-901, August.
    6. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
    7. 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.
    8. Tim Barmby & Michael Nolan & Rainer Winkelmann, 2001. "Contracted Workdays and Absence," Manchester School, University of Manchester, vol. 69(3), pages 269-275, June.
    9. Kevin E. Staub & Rainer Winkelmann, 2013. "Consistent Estimation Of Zero‐Inflated Count Models," Health Economics, John Wiley & Sons, Ltd., vol. 22(6), pages 673-686, June.
    10. Street, Andrew & Jones, Andrew & Furuta, Aya, 1999. "Cost-sharing and pharmaceutical utilisation and expenditure in Russia," Journal of Health Economics, Elsevier, vol. 18(4), pages 459-472, August.
    11. Treble,John & Barmby,Tim, 2011. "Worker Absenteeism and Sick Pay," Cambridge Books, Cambridge University Press, number 9780521806954, January.
    12. repec:bla:manchs:v:69:y:2001:i:3:p:269-75 is not listed on IDEAS
    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. Klein, Nadja & Denuit, Michel & Lang, Stefan & Kneib, Thomas, 2014. "Nonlife ratemaking and risk management with Bayesian generalized additive models for location, scale, and shape," Insurance: Mathematics and Economics, Elsevier, vol. 55(C), pages 225-249.
    2. Klein, Nadja & Denuit, Michel & Lang, Stefan & Kneib, Thomas, 2013. "Nonlife Ratemaking and Risk Management with Bayesian Additive Models for Location, Scale and Shape," LIDAM Discussion Papers ISBA 2013045, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    3. Nadja Klein & Michel Denuit & Stefan Lang & Thomas Kneib, 2013. "Nonlife Ratemaking and Risk Management with Bayesian Additive Models for Location, Scale and Shape," Working Papers 2013-24, Faculty of Economics and Statistics, Universität Innsbruck.
    4. Yanlin Tang & Liya Xiang & Zhongyi Zhu, 2014. "Risk Factor Selection in Rate Making: EM Adaptive LASSO for Zero‐Inflated Poisson Regression Models," Risk Analysis, John Wiley & Sons, vol. 34(6), pages 1112-1127, June.

    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. Gregori Baetschmann & Rainer Winkelmann, 2014. "A dynamic hurdle model for zero-inflated count data: with an application to health care utilization," ECON - Working Papers 151, Department of Economics - University of Zurich.
    2. Kevin E. Staub & Rainer Winkelmann, 2013. "Consistent Estimation Of Zero‐Inflated Count Models," Health Economics, John Wiley & Sons, Ltd., vol. 22(6), pages 673-686, June.
    3. Markus Jochmann, 2013. "What belongs where? Variable selection for zero-inflated count models with an application to the demand for health care," Computational Statistics, Springer, vol. 28(5), pages 1947-1964, October.
    4. Arvind Kumar Yadav & Susanta Nag & Pabitra Kumar Jena & Kirtti Ranjan Paltasingh, 2021. "Determinants of Antenatal Care Utilisation in India: A Count Data Modelling Approach," Journal of Development Policy and Practice, , vol. 6(2), pages 210-230, July.
    5. Helmut Farbmacher, 2013. "Extensions Of Hurdle Models For Overdispersed Count Data," Health Economics, John Wiley & Sons, Ltd., vol. 22(11), pages 1398-1404, November.
    6. Gamba, Simona & Magazzini, Laura & Pertile, Paolo, 2021. "R&D and market size: Who benefits from orphan drug legislation?," Journal of Health Economics, Elsevier, vol. 80(C).
    7. Steven Yen & Hung-Hao Chang & Tsui-Fang Lin, 2013. "Out-of-pocket expenditures on traditional and Western medicine in Taiwan," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 58(4), pages 583-592, August.
    8. Morescalchi, Andrea & Pammolli, Fabio & Penner, Orion & Petersen, Alexander M. & Riccaboni, Massimo, 2015. "The evolution of networks of innovators within and across borders: Evidence from patent data," Research Policy, Elsevier, vol. 44(3), pages 651-668.
    9. Stéphanie Truchet & Nicolas Mauhe & Marie Herve, 2017. "Veterinarian shortage areas: what determines the location of new graduates?," Review of Agricultural, Food and Environmental Studies, Springer, vol. 98(4), pages 255-282, December.
    10. David Dale & Andrei Sirchenko, 2021. "Estimation of nested and zero-inflated ordered probit models," Stata Journal, StataCorp LLC, vol. 21(1), pages 3-38, March.
    11. Nazmi Sari, 2014. "Sports, Exercise, And Length Of Stay In Hospitals: Is There A Differential Effect For The Chronically Ill People?," Contemporary Economic Policy, Western Economic Association International, vol. 32(2), pages 247-260, April.
    12. Christian Pfeifer, 2014. "Base Salaries, Bonus Payments, and Work Absence among Managers in a German Company," Scottish Journal of Political Economy, Scottish Economic Society, vol. 61(5), pages 523-536, November.
    13. Wooton, Ian & Darby, Julia & Desbordes, Rodolphe, 2009. "Does Public Governance Always Matter? How Experience of Poor Institutional Quality Influences FDI to the South," CEPR Discussion Papers 7533, C.E.P.R. Discussion Papers.
    14. Ping Zeng & Yongyue Wei & Yang Zhao & Jin Liu & Liya Liu & Ruyang Zhang & Jianwei Gou & Shuiping Huang & Feng Chen, 2014. "Variable selection approach for zero-inflated count data via adaptive lasso," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(4), pages 879-894, April.
    15. Pérez-Granja, Ubay & Pérez-Sánchez, José María & Pérez-Rodríguez, Jorge V., 2024. "Assessing economic performance and aviation accidents using zero-inflated and over-dispersed panel data models," Journal of Air Transport Management, Elsevier, vol. 118(C).
    16. Michael Overesch & Georg Wamser, 2010. "The effects of company taxation in EU accession countries on German FDI1," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 18(3), pages 429-457, July.
    17. Eduardo Fé, 2013. "Estimating production frontiers and efficiency when output is a discretely distributed economic bad," Journal of Productivity Analysis, Springer, vol. 39(3), pages 285-302, June.
    18. Jennifer S. K. Chan & S. T. Boris Choy & Udi Makov & Ariel Shamir & Vered Shapovalov, 2022. "Variable Selection Algorithm for a Mixture of Poisson Regression for Handling Overdispersion in Claims Frequency Modeling Using Telematics Car Driving Data," Risks, MDPI, vol. 10(4), pages 1-10, April.
    19. Llerena, Freddy, 2012. "Determinantes de la fecundidad en el Ecuador [Determinants of fertility in Ecuador]," MPRA Paper 39887, University Library of Munich, Germany, revised Feb 2012.
    20. D.S. Possenriede & W.H.J. Hassink & J. Plantenga, 2014. "Does temporal and locational flexibility of work reduce absenteeism?," Working Papers 14-09, Utrecht School of Economics.

    More about this item

    Keywords

    Exposure; Poisson regression; complementary log-log link;
    All these keywords.

    JEL classification:

    • J29 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Other
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:zur:econwp:061. 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: Severin Oswald (email available below). General contact details of provider: https://edirc.repec.org/data/seizhch.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.
    Лучший частный хостинг