Advertising as a signaling device: Simulated maximum likelihood estimation of a multiple random effects count data model
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.
Year of publication: |
2008
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Authors: | Hellström, Jörgen ; Rudholm, Niklas |
Published in: |
Economics Letters. - Elsevier, ISSN 0165-1765. - Vol. 101.2008, 3, p. 227-229
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Publisher: |
Elsevier |
Keywords: | Signaling Advertising Multiple random effects Simulated maximum likelihood Count data |
Saved in:
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