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Diffusion of New Pharmaceutical Drugs in Developing and Developed Nations

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Author Info
Desiraju, Ramarao (U of Central Florida)
Nair, Harikesh S. (Stanford U)
Chintagunta, Pradeep (U of Chicago)

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Abstract

In the context of introducing new products around the world, it is important to understand the relative attractiveness of various countries in terms of maximum penetration potential and diffusion speed. In this paper, we examine these market characteristics for a new category of prescription drugs in both developing and developed countries. Using data from fifteen countries, and a logistic specification in the Hierarchical Bayesian framework, we report the differences in diffusion speed and maximum penetration potential between developing and developed nations. Our methodology accounts for the limited number of data observations as well as serial correlation and endogeneity problems that arise in the analysis. The principal findings include: (i) Compared to developed countries, developing nations tend to have lower diffusion speeds and maximum penetration levels; (ii) Laggard developed countries have higher speeds. However, laggard developing countries do not have higher diffusion speeds; (iii) Per capita expenditures on healthcare have a positive effect on diffusion speed (particularly for developed countries), while higher prices tend to decrease diffusion speed. The paper concludes by identifying useful avenues for additional research.

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Paper provided by Stanford University, Graduate School of Business in its series Research Papers with number 1950.

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Date of creation: May 2004
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Handle: RePEc:ecl:stabus:1950

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  1. Breusch, T S, 1978. "Testing for Autocorrelation in Dynamic Linear Models," Australian Economic Papers, Blackwell Publishing, vol. 17(31), pages 334-55, December.
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  3. Chib, Siddhartha, 1993. "Bayes regression with autoregressive errors : A Gibbs sampling approach," Journal of Econometrics, Elsevier, vol. 58(3), pages 275-294, August. [Downloadable!] (restricted)
  4. Godfrey, Leslie G, 1978. "Testing against General Autoregressive and Moving Average Error Models When the Regressors Include Lagged Dependent Variables," Econometrica, Econometric Society, vol. 46(6), pages 1293-1301, November. [Downloadable!] (restricted)
  5. Hausman, Jerry A. & Taylor, William E., 1981. "Panel data and unobservable individual effects," Journal of Econometrics, Elsevier, vol. 16(1), pages 155-155, May. [Downloadable!] (restricted)
  6. Rizzo, John A, 1999. "Advertising and Competition in the Ethical Pharmaceutical Industry: The Case of Antihypertensive Drugs," Journal of Law & Economics, University of Chicago Press, vol. 42(1), pages 89-116, April.
  7. Hausman, Jerry A & Taylor, William E, 1981. "Panel Data and Unobservable Individual Effects," Econometrica, Econometric Society, vol. 49(6), pages 1377-98, November. [Downloadable!] (restricted)
  8. Aviv Nevo, 1998. "Measuring Market Power in the Ready-to-Eat Cereal Industry," NBER Working Papers 6387, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  9. Ernst R. Berndt & Robert S. Pindyck & Pierre Azoulay, 1999. "Network Effects and Diffusion in Pharmaceutical Markets: Antiulcer Drugs," NBER Working Papers 7024, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  1. Mihaela Cornelia Prejmerean & Simona Vasilache, 2008. "A LSCM approach to the Romanian pharmaceuticals market," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 10(24), pages 166-176, June. [Downloadable!]
  2. Puneet Manchanda & Dick Wittink & Andrew Ching & Paris Cleanthous & Min Ding & Xiaojing Dong & Peter Leeflang & Sanjog Misra & Natalie Mizik & Sridhar Narayanan & Thomas Steenburgh & Jaap Wieringa & M, 2005. "Understanding Firm, Physician and Consumer Choice Behavior in the Pharmaceutical Industry," Marketing Letters, Springer, vol. 16(3), pages 293-308, December. [Downloadable!] (restricted)
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