A Comparative Study Between Aggregate and Individual Choice Models for the Prediction of Consumer Choice Behavior PDF Download
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Author: Michael D. Henry
Publisher:
ISBN:
Category : Consumers
Languages : en
Pages : 424
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Author: Michael D. Henry
Publisher:
ISBN:
Category : Consumers
Languages : en
Pages : 424
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Book Description
Author: Michael Dean Henry
Publisher:
ISBN:
Category : Consumers
Languages : en
Pages : 212
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Book Description
Author: Sandeep R. Chandukala
Publisher: Now Publishers Inc
ISBN: 1601981643
Category : Business & Economics
Languages : en
Pages : 100
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Book Description
Choice Models in Marketing examines recent developments in the modeling of choice for marketing and reviews a large stream of research currently being developed by both quantitative and qualitative researches in marketing. Choice in marketing differs from other domains in that the choice context is typically very complex, and researchers' desire knowledge of the variables that ultimately lead to demand in marketplace. The marketing choice context is characterized by many choice alternatives. The aim of Choice Models in Marketing is to lay out the foundations of choice models and discuss recent advances. The authors focus on aspects of choice that can be quantitatively modeled and consider models related to a process of constrained utility maximization. By reviewing the basics of choice modeling and pointing to new developments, Choice Models in Marketing provides a platform for future research.
Author: Adrian B. Ryans
Publisher:
ISBN:
Category : Consumers
Languages : en
Pages : 44
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Author: Gordon P. Wright
Publisher:
ISBN:
Category :
Languages : en
Pages : 58
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Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 632
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Book Description
Abstracts of dissertations available on microfilm or as xerographic reproductions.
Author: Kenneth Train
Publisher: Cambridge University Press
ISBN: 0521766559
Category : Business & Economics
Languages : en
Pages : 399
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Book Description
This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.
Author: Ruxian Wang
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Network externality arises when the utility of a product depends not only on its attributes, but also on the number of consumers who purchase the same product. In this paper, we propose and analyze consumer choice models that endogenize such network externality. We first characterize the choice probabilities under such models and conduct studies on comparative statics. Then we investigate the assortment optimization problem under such choice models. Although the problem is generally NP-hard, we show that a new class of assortments, called quasi-revenue-ordered assortments, which consist of a revenue-ordered assortment plus at most one additional item, are optimal under mild conditions. We also propose an iterative estimation method to calibrate such choice models, for both uncensored and censored data cases. An empirical study on a mobile game dataset shows that our proposed model can provide better fits for the data, increase the prediction accuracy for consumer choices and potentially increase revenue.
Author: Walter F. Kuentzel
Publisher:
ISBN:
Category : Forest reserves
Languages : en
Pages : 322
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Author: Imran S. Currim
Publisher:
ISBN:
Category :
Languages : en
Pages : 88
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Book Description
