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Advertising as a signaling device: Simulated maximum likelihood estimation of a multiple random effects count data model

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Author Info
Hellström, Jörgen
Rudholm, Niklas
Abstract

The paper empirically studies whether pharmaceutical firms use advertising as a signal for high quality drugs. A multiple random effects count data hurdle model is specified and a simulated maximum likelihood estimation approach is developed and utilized in the empirical analysis.

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File URL: http://www.sciencedirect.com/science/article/B6V84-4T8SKWS-2/2/ace77c80ae493deeb7cb8bef1584e60c
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Publisher Info
Article provided by Elsevier in its journal Economics Letters.

Volume (Year): 101 (2008)
Issue (Month): 3 (December)
Pages: 227-229
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Handle: RePEc:eee:ecolet:v:101:y:2008:i:3:p:227-229

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Web page: http://www.elsevier.com/locate/ecolet

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Related research
Keywords: Signaling Advertising Multiple random effects Simulated maximum likelihood Count data;

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