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In a discrete choice situation, information about the tastes of each sampled customer is inferred from estimates of the distribution of tastes in the population. First, maximum likelihood procedures are used to estimate the distribution of tastes in the population using the pooled data for all sampled customers. Then, the distribution of tastes of each(More)
a r t i c l e i n f o a b s t r a c t Research in managerial and executive leadership recognizes the importance of behavioral complexity, particularly for addressing the competing demands and roles expected of managerial leaders. Though some empirical research on behavioral complexity exists, further progress requires a more rigorous instrument to measure(More)
the area editor and three anonymous referees for their many helpful suggestions. Abstract We propose, operationalize and estimate a new model to capture unobserved consideration from discrete choice data. This model consists of a multivariate binary choice model component for consideration and a multinomial probit model component for choice, given(More)
for specific helpful comments. Excellent research assistance was provided by Helder Palaro. We are grateful to two anonymous referees for their valuable suggestions on improving the paper. We accept responsibility for all remaining errors. Abstract Rating transition matrices for corporate bond issuers are often based on fitting a discrete time Markov chain(More)
The emergence of Bayesian methodology has facilitated respondent-level conjoint models, and deriving utilities from choice experiments has become very popular among those modeling product line decisions or new product * Co-chairs. Author order is alphabetical. 198 ALLENBY ET AL. introductions. This review begins with a paradox of why experimental choices(More)