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Setiadi Umar
Rutgers University
Publications 1
Published on Mar 1, 2017in Marketing Letters 1.62
Goksel Yalcinkaya11
Estimated H-index: 11
(UNH: University of New Hampshire),
Tevfik Aktekin7
Estimated H-index: 7
(UNH: University of New Hampshire)
+ 1 AuthorsSetiadi Umar1
Estimated H-index: 1
(RU: Rutgers University)
In this paper, we develop and estimate a series of Bayesian generalized gamma family and mixture family models of product modification timing that take into account both firm- and industry-specific effects that are time varying. Our models are capable of capturing non-standard modification behavior such as multi-modality and non-monotonicity in the hazard rates motivated by real data. Additionally, we explore the existence of latent groups with respect to product modification timing strategies. ...