IDEAS home Printed from https://ideas.repec.org/a/wly/hlthec/v23y2014i3p314-331.html
   My bibliography  Save this article

Income And The Use Of Prescription Drugs For Near Retirement Individuals

Author

Listed:
  • SØren Leth‐Petersen
  • Niels Skipper

Abstract

In this paper, we estimate how demand for prescription drugs varies with income for a sample of near retirement individuals. The analysis is based on a novel panel data set with information about the purchase of prescription drugs for a large number of Danish individuals over the period 1995–2003. Our preferred model performs better in an external validation test than models that can be estimated on cross section data. Results indicate that demand does respond to variations in income and that reforms affecting income will therefore affect the use of prescription drugs. Copyright © 2013 John Wiley & Sons, Ltd.

Suggested Citation

  • SØren Leth‐Petersen & Niels Skipper, 2014. "Income And The Use Of Prescription Drugs For Near Retirement Individuals," Health Economics, John Wiley & Sons, Ltd., vol. 23(3), pages 314-331, March.
    • Handle: RePEc:wly:hlthec:v:23:y:2014:i:3:p:314-331
    DOI: 10.1002/hec.2940
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/hec.2940
    Download Restriction: no
    File URL: https://libkey.io/10.1002/hec.2940?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Alan, Sule & Crossley, Thomas F. & Grootendorst, Paul & Veall, Michael R., 2002. "The effects of drug subsidies on out-of-pocket prescription drug expenditures by seniors: regional evidence from Canada," Journal of Health Economics, Elsevier, vol. 21(5), pages 805-826, September.
    2. Arellano, Manuel & Honore, Bo, 2001. "Panel data models: some recent developments," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 53, pages 3229-3296, Elsevier.
    3. Deaton, Angus S & Paxson, Christina H, 1998. "Aging and Inequality in Income and Health," American Economic Review, American Economic Association, vol. 88(2), pages 248-253, May.
    4. Stephen R. Bond, 2002. "Dynamic panel data models: a guide to micro data methods and practice," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 141-162, August.
    5. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    6. Carl-Johan Dalgaard & Holger Strulik, 2014. "Optimal Aging And Death: Understanding The Preston Curve," Journal of the European Economic Association, European Economic Association, vol. 12(3), pages 672-701, June.
    7. John Rust & Christopher Phelan, 1997. "How Social Security and Medicare Affect Retirement Behavior in a World of Incomplete Markets," Econometrica, Econometric Society, vol. 65(4), pages 781-832, July.
    8. Marianne Simonsen & Lars Skipper & Niels Skipper, 2016. "Price Sensitivity of Demand for Prescription Drugs: Exploiting a Regression Kink Design," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(2), pages 320-337, March.
    9. Sule Alan & Thomas Crossley & Paul Grootendorst & Michael Veall, 2005. "Distributional effects of `general population' prescription drug programs in Canada," Canadian Journal of Economics, Canadian Economics Association, vol. 38(1), pages 128-148, February.
    10. Grossman, Michael, 1972. "On the Concept of Health Capital and the Demand for Health," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 223-255, March-Apr.
    11. Kenneth I. Wolpin & Petra E. Todd, 2006. "Assessing the Impact of a School Subsidy Program in Mexico: Using a Social Experiment to Validate a Dynamic Behavioral Model of Child Schooling and Fertility," American Economic Review, American Economic Association, vol. 96(5), pages 1384-1417, December.
    12. Peter Adams & Michael D. Hurd & Daniel L. McFadden & Angela Merrill & Tiago Ribeiro, 2004. "Healthy, Wealthy, and Wise? Tests for Direct Causal Paths between Health and Socioeconomic Status," NBER Chapters, in: Perspectives on the Economics of Aging, pages 415-526, National Bureau of Economic Research, Inc.
    13. John R. Moran & JKosali Ilayperuma Simon, 2006. "Income and the Use of Prescription Drugs by the Elderly: Evidence from the Notch Cohorts," Journal of Human Resources, University of Wisconsin Press, vol. 41(2).
    14. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    15. Orazio P. Attanasio & Carl Emmerson, 2003. "Mortality, Health Status, and Wealth," Journal of the European Economic Association, MIT Press, vol. 1(4), pages 821-850, June.
    16. James Banks & Richard Blundell & Arthur Lewbel, 1997. "Quadratic Engel Curves And Consumer Demand," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 527-539, November.
    17. John Karl Scholz & Ananth Seshadri, 2010. "Health and Wealth in a Life Cycle Model," Working Papers wp224, University of Michigan, Michigan Retirement Research Center.
    18. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    19. Stephen E. Snyder & William N. Evans, 2006. "The Effect of Income on Mortality: Evidence from the Social Security Notch," The Review of Economics and Statistics, MIT Press, vol. 88(3), pages 482-495, August.
    Full references (including those not matched with items on IDEAS)

    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. Michaud, Pierre-Carl & van Soest, Arthur, 2008. "Health and wealth of elderly couples: Causality tests using dynamic panel data models," Journal of Health Economics, Elsevier, vol. 27(5), pages 1312-1325, September.
    2. repec:ran:wpaper:191 is not listed on IDEAS
    3. Gravier-Rymaszewska, Joanna & Tyrowicz, Joanna & Kochanowicz, Jacek, 2010. "Intra-provincial inequalities and economic growth in China," Economic Systems, Elsevier, vol. 34(3), pages 237-258, September.
    4. Saboo, Alok R. & Kumar, V. & Ramani, Girish, 2016. "Evaluating the impact of social media activities on human brand sales," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 524-541.
    5. KAMIYA, Yusuke, 2011. "Effects of Health Systems and Socioeconomic Factors in Reducing Child Mortality in Developing Countries: Empirical Results from System Generalised Method of Moments," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 11(2).
    6. Beutler, Toni & Bichsel, Robert & Bruhin, Adrian & Danton, Jayson, 2020. "The impact of interest rate risk on bank lending," Journal of Banking & Finance, Elsevier, vol. 115(C).
    7. Davtyan Azat, 2014. "GMM Estimation and Shapiro-Francia Normality Test: A Case Study of CEE Economies," International Journal of Economic Sciences, Prague University of Economics and Business, vol. 2014(1), pages 12-26.
    8. Yusuke Kamiya, 2010. "Determinants of Health in Developing Countries:Cross-Country Evidence," OSIPP Discussion Paper 10E009, Osaka School of International Public Policy, Osaka University.
    9. Juan Carlos Mu�oz-Mora & Santiago Tob�n-Zapata & Jesse d'Anjou, 2014. "Does land titling matter? The role of land property rights in the war on illicit crops in Colombia," HiCN Working Papers 168, Households in Conflict Network.
    10. Okada, Yosuke, 2005. "Competition and productivity in Japanese manufacturing industries," Journal of the Japanese and International Economies, Elsevier, vol. 19(4), pages 586-616, December.
    11. Cafer Kaplan & Erdal Ozmen & Cihan Yalcin, 2006. "The Determinants and Implications of Financial Asset Holdings of Non-Financial Firms in Turkey : An Emprical Investigation," Working Papers 0606, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    12. Pinkston, Joshua C., 2017. "The dynamic effects of obesity on the wages of young workers," Economics & Human Biology, Elsevier, vol. 27(PA), pages 154-166.
    13. Eicher, Theo S. & Schreiber, Till, 2010. "Structural policies and growth: Time series evidence from a natural experiment," Journal of Development Economics, Elsevier, vol. 91(1), pages 169-179, January.
    14. Manthos D. Delis & Sotirios Kokas & Steven Ongena, 2016. "Foreign Ownership and Market Power in Banking: Evidence from a World Sample," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(2-3), pages 449-483, March.
    15. Huy Quang Doan, 2019. "Trade, Institutional Quality and Income: Empirical Evidence for Sub-Saharan Africa," Economies, MDPI, vol. 7(2), pages 1-23, May.
    16. Maynou, L. & McGuire, A. & Serra-Sastre, V., 2019. "Exploring the Impact of New Medical Technology on Workforce Planning," Working Papers 19/07, Department of Economics, City University London.
    17. Yang, Yong, 2012. "Agglomeration density and tourism development in China: An empirical research based on dynamic panel data model," Tourism Management, Elsevier, vol. 33(6), pages 1347-1359.
    18. Kampelmann, Stephan & Rycx, François, 2012. "The impact of educational mismatch on firm productivity: Evidence from linked panel data," Economics of Education Review, Elsevier, vol. 31(6), pages 918-931.
    19. Bertrand, Olivier & Zuniga, Pluvia, 2006. "R&D and M&A: Are cross-border M&A different? An investigation on OECD countries," International Journal of Industrial Organization, Elsevier, vol. 24(2), pages 401-423, March.
    20. Fernando Mayoral & Carlos Garcimartín, 2013. "The impact of population on the reduction of steady-state disparities across Spanish regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(1), pages 49-69, February.
    21. Falavigna, Greta & Ippoliti, Roberto, 2023. "SMEs’ behavior under financial constraints: An empirical investigation on the legal environment and the substitution effect with tax arrears," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).

    More about this item

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

    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:wly:hlthec:v:23:y:2014:i:3:p:314-331. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/5749 .

    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.