Discrete Choice Models Of Consumer Demand In Marketing
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| Author | : Pradeep K. Chintagunta |
| Publisher | : |
| Total Pages | : 40 |
| Release | : 2011 |
| Genre | : Consumer behavior |
| ISBN | : |
This paper has three main objectives. The first objective is to articulate the main goals of demand analysis - forecasting, measurement and testing - and to highlight several considerations associated with these goals. Our second objective is describe the main building blocks of individual-level demand models. We discuss approaches built on direct and indirect utility specifications of demand systems, and review extensions that have appeared in the Marketing literature. The third objective is to explore a few emerging directions in demand analysis including considering demand-side dynamics; combining purchase data with primary information; and using semiparametric and nonparametric approaches. We hope researchers new to this literature will take away a broader perspective on these models and see potential for new directions in future research.
| Author | : Sandeep R. Chandukala |
| Publisher | : Now Publishers Inc |
| Total Pages | : 100 |
| Release | : 2008 |
| Genre | : Business & Economics |
| ISBN | : 1601981643 |
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 | : Simon P. Anderson |
| Publisher | : MIT Press |
| Total Pages | : 454 |
| Release | : 1992 |
| Genre | : Business & Economics |
| ISBN | : 9780262011280 |
"The discrete choice approach provides an ideal framework for describing the demands for differentiated products and can be used for studying most product differentiation models in the literature. By introducing extra dimensions of product heterogeneity, the framework also provides richer models of firm location and product selection."--BOOK JACKET.
| Author | : Badi Hani Baltagi |
| Publisher | : |
| Total Pages | : 705 |
| Release | : 2015 |
| Genre | : Business & Economics |
| ISBN | : 0199940045 |
The Oxford Handbook of Panel Data examines new developments in the theory and applications of panel data. It includes basic topics like non-stationary panels, co-integration in panels, multifactor panel models, panel unit roots, measurement error in panels, incidental parameters and dynamic panels, spatial panels, nonparametric panel data, random coefficients, treatment effects, sample selection, count panel data, limited dependent variable panel models, unbalanced panel models with interactive effects and influential observations in panel data. Contributors to the Handbook explore applications of panel data to a wide range of topics in economics, including health, labor, marketing, trade, productivity, and macro applications in panels. This Handbook is an informative and comprehensive guide for both those who are relatively new to the field and for those wishing to extend their knowledge to the frontier. It is a trusted and definitive source on panel data, having been edited by Professor Badi Baltagi-widely recognized as one of the foremost econometricians in the area of panel data econometrics. Professor Baltagi has successfully recruited an all-star cast of experts for each of the well-chosen topics in the Handbook.
| Author | : Kenneth Train |
| Publisher | : Cambridge University Press |
| Total Pages | : 399 |
| Release | : 2009-07-06 |
| Genre | : Business & Economics |
| ISBN | : 0521766559 |
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 | : Michael P. Keane |
| Publisher | : |
| Total Pages | : |
| Release | : 2013 |
| Genre | : |
| ISBN | : |
| Author | : David A. Hensher |
| Publisher | : Routledge |
| Total Pages | : 280 |
| Release | : 2018-04-09 |
| Genre | : Business & Economics |
| ISBN | : 1351140744 |
Originally published in 1981. Discrete-choice modelling is an area of econometrics where significant advances have been made at the research level. This book presents an overview of these advances, explaining the theory underlying the model, and explores its various applications. It shows how operational choice models can be used, and how they are particularly useful for a better understanding of consumer demand theory. It discusses particular problems connected with the model and its use, and reports on the authors’ own empirical research. This is a comprehensive survey of research developments in discrete choice modelling and its applications.
| Author | : Jeongwen Chiang |
| Publisher | : |
| Total Pages | : 158 |
| Release | : 1988 |
| Genre | : |
| ISBN | : |
| Author | : Klaus Zwerina |
| Publisher | : Physica |
| Total Pages | : 173 |
| Release | : 2014-03-12 |
| Genre | : Business & Economics |
| ISBN | : 9783642500145 |
The chapter starts with a positioning of this dissertation in the marketing discipline. It then provides a comparison of the two most popular methods for studying consumer preferences/choices, namely conjoint analysis and discrete choice experiments. Chapter 1 continues with a description of the context of discrete choice experiments. Subsequently, the research problems and the objectives ofthis dissertation are discussed. The chapter concludes with an outline of the organization of this dissertation. 1. 1 Positioning of the Dissertation During this century, increasing globalization and technological progress has forced companies to undergo rapid and dramatic changes-for some a threat, for others it offers new opportunities. Companies have to survive in a Darwinian marketplace where the principle of natural selection applies. Marketplace success goes to those companies that are able to produce marketable value, Le. , products and services that others are willing to purchase (Kotler 1997). Every company must be engaged in new-product development to create the new products customers want because competitors will do their best to supply them. Besides offering competitive advantages, new products usually lead to sales growth and stability. As household incomes increase and consumers become more selective, fmns need to know how consumers respond to different features and appeals. Successful products and services begin with a thorough understanding of consumer needs and wants. Stated otherwise, companies need to know about consumer preferences to manufacture tailor-made products, consumers are willing to buy.
| Author | : Moshe Ben-Akiva |
| Publisher | : MIT Press |
| Total Pages | : 414 |
| Release | : 2018-04-20 |
| Genre | : Architecture |
| ISBN | : 0262536404 |
Discrete Choice Analysis presents these results in such a way that they are fully accessible to the range of students and professionals who are involved in modelling demand and consumer behavior in general or specifically in transportation - whether from the point of view of the design of transit systems, urban and transport economics, public policy, operations research, or systems management and planning. The methods of discrete choice analysis and their applications in the modelling of transportation systems constitute a comparatively new field that has largely evolved over the past 15 years. Since its inception, however, the field has developed rapidly, and this is the first text and reference work to cover the material systematically, bringing together the scattered and often inaccessible results for graduate students and professionals. Discrete Choice Analysis presents these results in such a way that they are fully accessible to the range of students and professionals who are involved in modelling demand and consumer behavior in general or specifically in transportation - whether from the point of view of the design of transit systems, urban and transport economics, public policy, operations research, or systems management and planning. The introductory chapter presents the background of discrete choice analysis and context of transportation demand forecasting. Subsequent chapters cover, among other topics, the theories of individual choice behavior, binary and multinomial choice models, aggregate forecasting techniques, estimation methods, tests used in the process of model development, sampling theory, the nested-logit model, and systems of models. Discrete Choice Analysis is ninth in the MIT Press Series in Transportation Studies, edited by Marvin Manheim.
