IDEAS home Printed from https://ideas.repec.org/p/yor/hectdg/09-15.html
   My bibliography  Save this paper

Dynamic Cost-offsets of Prescription Drug Expenditures: Panel Data Analysis Using a Copula-based Hurdle Model

Author

Listed:
  • Deb P
  • Trivedi PK
  • Zimmer DM

Abstract

This paper presents a new multivariate copula-based modeling approach for analyzing cost-offsets between drug and nondrug expenditures. Estimates are based on panel data from the Medical Expenditure Panel Survey (MEPS) with quarterly measures of medical expenditures. The approach allows for nonlinear dynamic dependence between drug and nondrug expenditures as well as asymmetric contemporaneous dependence. The specification uses the standard hurdle model with two significant extensions. First, it is adapted to the bivariate case. Second, because the cost-offset hypothesis is inherently dynamic, the bivariate hurdle framework is extended to accommodate dynamic relationships between drug and nondrug spending. The econometric analysis is implemented for six different groups defined by specific health conditions. There is evidence of modest cost-offsets of expenditures on prescribed drugs.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Deb P & Trivedi PK & Zimmer DM, 2009. "Dynamic Cost-offsets of Prescription Drug Expenditures: Panel Data Analysis Using a Copula-based Hurdle Model," Health, Econometrics and Data Group (HEDG) Working Papers 09/15, HEDG, c/o Department of Economics, University of York.
    • Handle: RePEc:yor:hectdg:09/15
    as

    Download full text from publisher

    File URL: https://www.york.ac.uk/media/economics/documents/herc/wp/09_15.pdf
    File Function: Main text
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Chamberlain, Gary, 1984. "Panel data," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 22, pages 1247-1318, Elsevier.
    2. Trivedi, Pravin K. & Zimmer, David M., 2007. "Copula Modeling: An Introduction for Practitioners," Foundations and Trends(R) in Econometrics, now publishers, vol. 1(1), pages 1-111, April.
    3. Baoping Shang & Dana P. Goldman, 2007. "Prescription Drug Coverage and Elderly Medicare Spending," NBER Working Papers 13358, National Bureau of Economic Research, Inc.
    4. Manning, Willard G. & Basu, Anirban & Mullahy, John, 2005. "Generalized modeling approaches to risk adjustment of skewed outcomes data," Journal of Health Economics, Elsevier, vol. 24(3), pages 465-488, May.
    5. Katarzyna Bien & Ingmar Nolte & Winfried Pohlmeier, 2011. "An inflated multivariate integer count hurdle model: an application to bid and ask quote dynamics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(4), pages 669-707, June.
    6. Tomas J. Philipson & Dana Goldman, 2007. "Integrated Insurance Design in the Presence of Multiple Medical Technologies," American Economic Review, American Economic Association, vol. 97(2), pages 427-432, May.
    7. Gaynor Martin & Li Jian & Vogt William B, 2007. "Substitution, Spending Offsets, and Prescription Drug Benefit Design," Forum for Health Economics & Policy, De Gruyter, vol. 10(2), pages 1-33, July.
    8. Wiji Arulampalam & Mark B. Stewart, 2009. "Simplified Implementation of the Heckman Estimator of the Dynamic Probit Model and a Comparison with Alternative Estimators," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(5), pages 659-681, October.
    9. Andrew J. Patton, 2006. "Modelling Asymmetric Exchange Rate Dependence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(2), pages 527-556, May.
    10. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    11. 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. Albouy, Valerie & Davezies, Laurent & Debrand, Thierry, 2010. "Health expenditure models: A comparison using panel data," Economic Modelling, Elsevier, vol. 27(4), pages 791-803, July.
    2. William Encinosa & Didem Bernard & Avi Dor, 2010. "Does Prescription Drug Adherence Reduce Hospitalizations and Costs?," NBER Working Papers 15691, National Bureau of Economic Research, Inc.
    3. Christelis, Dimitris & Sanz-de-Galdeano, Anna, 2011. "Smoking persistence across countries: A panel data analysis," Journal of Health Economics, Elsevier, vol. 30(5), pages 1077-1093.
    4. Silvia Balia & Rinaldo Brau, 2014. "A Country For Old Men? Long‐Term Home Care Utilization In Europe," Health Economics, John Wiley & Sons, Ltd., vol. 23(10), pages 1185-1212, October.
    5. Brechmann, Eike & Czado, Claudia & Paterlini, Sandra, 2014. "Flexible dependence modeling of operational risk losses and its impact on total capital requirements," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 271-285.

    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. Partha Deb & Pravin K. Trivedi & David M. Zimmer, 2014. "Cost‐Offsets Of Prescription Drug Expenditures: Data Analysis Via A Copula‐Based Bivariate Dynamic Hurdle Model," Health Economics, John Wiley & Sons, Ltd., vol. 23(10), pages 1242-1259, October.
    2. Akay, Alpaslan, 2009. "Dynamics of the Employment Assimilation of First-Generation Immigrant Men in Sweden: Comparing Dynamic and Static Assimilation Models with Longitudinal Data," IZA Discussion Papers 4655, Institute of Labor Economics (IZA).
    3. Anand, Paul & Gray, Alastair & Liberini, Federica & Roope, Laurence & Smith, Ron & Thomas, Ranjeeta, 2015. "Wellbeing over 50," The Journal of the Economics of Ageing, Elsevier, vol. 6(C), pages 68-78.
    4. Giarda, Elena, 2013. "Persistency of financial distress amongst Italian households: Evidence from dynamic models for binary panel data," Journal of Banking & Finance, Elsevier, vol. 37(9), pages 3425-3434.
    5. Picchio, Matteo & van Ours, Jan C., 2013. "Retaining through training even for older workers," Economics of Education Review, Elsevier, vol. 32(C), pages 29-48.
    6. Ken Clark & Nikolaos C. Kanellopoulos, 2009. "Low Pay Persistence in European Countries," SOEPpapers on Multidisciplinary Panel Data Research 207, DIW Berlin, The German Socio-Economic Panel (SOEP).
    7. Glazer Jacob & Huskamp Haiden A. & McGuire Thomas G., 2012. "A Prescription for Drug Formulary Evaluation: An Application of Price Indexes," Forum for Health Economics & Policy, De Gruyter, vol. 15(2), pages 1-26, March.
    8. Kurt Lavetti & Thomas DeLeire & Nicolas R. Ziebarth, 2023. "How do low‐income enrollees in the Affordable Care Act marketplaces respond to cost‐sharing?," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 90(1), pages 155-183, March.
    9. Cappellari, Lorenzo & Jenkins, Stephen P., 2008. "The Dynamics of Social Assistance Receipt: Measurement and Modelling Issues, with an Application to Britain," IZA Discussion Papers 3765, Institute of Labor Economics (IZA).
    10. Mavromaras, Kostas & Polidano, Cain, 2011. "NILS Working paper no 165. Improving the employment rates of people with disabilities through vocational education," NILS Working Papers 26068, National Institute of Labour Studies.
    11. Glazer, Jacob & McGuire, Thomas G., 2012. "A welfare measure of “offset effects” in health insurance," Journal of Public Economics, Elsevier, vol. 96(5), pages 520-523.
    12. Schnitzlein, Daniel D. & Stephani, Jens, 2016. "Locus of Control and low-wage mobility," Journal of Economic Psychology, Elsevier, vol. 53(C), pages 164-177.
    13. Corsi, A. & Salvioni, C., 2013. "Off-farm labour participation of Italian farmers, state dependence and the CAP reform," 2013 Second Congress, June 6-7, 2013, Parma, Italy 149886, Italian Association of Agricultural and Applied Economics (AIEAA).
    14. Murat K. Munkin & Pravin K. Trivedi, 2010. "Disentangling incentives effects of insurance coverage from adverse selection in the case of drug expenditure: a finite mixture approach," Health Economics, John Wiley & Sons, Ltd., vol. 19(9), pages 1093-1108, September.
    15. Laisney, François & Pohlmeier, Winfried & Staat, Matthias, 1991. "Estimation of labour supply functions using panel data: a survey," ZEW Discussion Papers 91-05, ZEW - Leibniz Centre for European Economic Research.
    16. Silvio R. Rendon, 2013. "Fixed and Random Effects in Classical and Bayesian Regression," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(3), pages 460-476, June.
    17. Thomas J. Kniesner & James P. Ziliak, 2002. "Tax Reform and Automatic Stabilization," American Economic Review, American Economic Association, vol. 92(3), pages 590-612, June.
    18. Dischinger, Matthias & Riedel, Nadine, 2011. "Corporate taxes and the location of intangible assets within multinational firms," Journal of Public Economics, Elsevier, vol. 95(7-8), pages 691-707, August.
    19. Lionel WILNER, 2019. "The Dynamics of Individual Happiness," Working Papers 2019-18, Center for Research in Economics and Statistics.
    20. Lahiri, Kajal & Yang, Liu, 2013. "Forecasting Binary Outcomes," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1025-1106, Elsevier.

    More about this item

    Keywords

    Medical Expenditure Panel Survey; random effects; Clayton copula; dynamic dependence;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets

    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:yor:hectdg:09/15. 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: Jane Rawlings (email available below). General contact details of provider: https://edirc.repec.org/data/deyoruk.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.