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The pervasiveness of pharmaceutical expenditure inertia in the OECD countries

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  • Okunade, Albert A.
  • Suraratdecha, Chutima

Abstract

This paper constructs and estimates an economic model for testing statistically the strength of possible 'expenditure inertia' as a plausible reason for rising drug expenditures of the Organization for Economic Cooperation and Development (OECD) countries. The ethical drugs sector in the OECD health care systems is increasingly targeted as the major culprit in the rising cost. Using multiple regression analysis, and the maximum likelihood estimation method, the data of each country (taken from OECD Health Data, 1997) were first tested for functional form optimality with the Box-Cox power family transformations model. Drug expenditure elasticities, at data means, were computed using each country's optimal regression model estimates. The results indicate that the traditionally fitted a priori limited functional form models (e.g., linear, log-log) are not globally consistent with data across countries. The effect of a one-period lagged real per-capita drug expenditure (capturing inertia or habit persistence) on current period real per-capita prescription expenditure is statistically significant in most countries. Pharmaceutical demands are inelastic, and tend to behave like a necessity, as expected. Since the significant effects of economic, demographic, and other drivers of high drug spending differ across countries, country-specific implications and policy suggestions for cost controls ought to differ.

Suggested Citation

  • Okunade, Albert A. & Suraratdecha, Chutima, 2006. "The pervasiveness of pharmaceutical expenditure inertia in the OECD countries," Social Science & Medicine, Elsevier, vol. 63(1), pages 225-238, July.
  • Handle: RePEc:eee:socmed:v:63:y:2006:i:1:p:225-238
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    2. Chiara Bonassi & Laura Magazzini & Fabio Pammolli & Massimo Riccaboni & Nicola Carmine Salerno, 2007. "La spesa farmaceutica territoriale convenzionata: il modello FarmaRegio per l'analisi della variabilità regionale," Working Papers CERM 03-2007, Competitività, Regole, Mercati (CERM).
    3. Andrea Leiter & Engelbert Theurl, 2012. "The convergence of health care financing structures: empirical evidence from OECD-countries," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(1), pages 7-18, February.
    4. Fiorio, Carlo V. & Siciliani, Luigi, 2010. "Co-payments and the demand for pharmaceuticals: Evidence from Italy," Economic Modelling, Elsevier, vol. 27(4), pages 835-841, July.
    5. Andree Ehlert & Dirk Oberschachtsiek, 2014. "Does managed care reduce health care expenditure? Evidence from spatial panel data," International Journal of Health Economics and Management, Springer, vol. 14(3), pages 207-227, September.
    6. Fabio Pammolli & Nicola Carmine Salerno, 2008. "Occupazione, produttività e demografia: le sfide per la crescita del Mezzogiorno - Riforme strutturali per dare basi al federalismo," Working Papers CERM 02-2008, Competitività, Regole, Mercati (CERM).
    7. Laura Magazzini & Fabio Pammolli & Nicola Carmine Salerno, 2006. "La spesa farmaceutica pubblica - Analisi degli ultimi anni e indicazioni per una nuova politica economica," Working Papers CERM 03-2006, Competitività, Regole, Mercati (CERM).
    8. Paresh Kumar Narayan, 2007. "Do health expenditures 'catch-up'? Evidence from OECD countries," Health Economics, John Wiley & Sons, Ltd., vol. 16(10), pages 993-1008.
    9. Rezwanul Hasan Rana & Khorshed Alam & Jeff Gow, 2020. "The Impact of Immigration on Public and Out-of-Pocket Health Expenditure in OECD Countries," Journal of International Migration and Integration, Springer, vol. 21(2), pages 485-508, June.
    10. Barros, Pedro Pita & Nunes, Luis C., 2010. "The impact of pharmaceutical policy measures: An endogenous structural-break approach," Social Science & Medicine, Elsevier, vol. 71(3), pages 440-450, August.
    11. Jesús Clemente & Carmen Marcuello & Antonio Montañés, 2008. "Pharmaceutical expenditure, total health‐care expenditure and GDP," Health Economics, John Wiley & Sons, Ltd., vol. 17(10), pages 1187-1206, October.
    12. Thierry Nianogo & Albert Okunade & Demba Fofana & Weiwei Chen, 2016. "Determinants of US Prescription Drug Utilization using County Level Data," Health Economics, John Wiley & Sons, Ltd., vol. 25(5), pages 606-619, May.
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    14. Jorgen Lauridsen & Mariluz Sánchez & Mickael Bech, 2010. "Public pharmaceutical expenditure: identification of spatial effects," Journal of Geographical Systems, Springer, vol. 12(2), pages 175-188, June.

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