Overview
- Explores various advanced techniques to modeling markets, including spatial models, game theoretic models, and Bayesian estimation models
- Includes numerous examples of applications and software
- Featuring contributions from top authors in the field
Part of the book series: International Series in Quantitative Marketing (ISQM)
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Table of contents (20 chapters)
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Front Matter
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Introduction
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Front Matter
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Specification
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Front Matter
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Modeling with Latent Variables
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Front Matter
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Estimation Issues
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Front Matter
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Keywords
About this book
This volume presents advanced techniques to modeling markets, with a wide spectrum of topics, including advanced individual demand models, time series analysis, state space models, spatial models, structural models, mediation, models that specify competition and diffusion models. It is intended as a follow-on and companion to Modeling Markets (2015), in which the authors presented the basics of modeling markets along the classical steps of the model building process: specification, data collection, estimation, validation and implementation. This volume builds on the concepts presented in Modeling Markets with an emphasis on advanced methods that are used to specify, estimate and validate marketing models, including structural equation models, partial least squares, mixture models, and hidden Markov models, as well as generalized methods of moments, Bayesian analysis, non/semi-parametric estimation and endogeneity issues. Specific attention is given to big data.
The market environment is changing rapidly and constantly. Models that provide information about the sensitivity of market behavior to marketing activities such as advertising, pricing, promotions and distribution are now routinely used by managers for the identification of changes in marketing programs that can improve brand performance. In today’s environment of information overload, the challenge is to make sense of the data that is being provided globally, in real time, from thousands of sources. Although marketing models are now widely accepted, the quality of the marketing decisions is critically dependent upon the quality of the models on which those decisions are based. This volume provides an authoritative and comprehensive review, with each chapter including:
· an introduction to the method/methodology
· a numerical example/application in marketing
· references to other marketing applications
· suggestions about software.
Featuring contributions from top authors in the field, this volume will explore current and future aspects of modeling markets, providing relevant and timely research and techniques to scientists, researchers, students, academics and practitioners in marketing, management and economics.
Editors and Affiliations
Bibliographic Information
Book Title: Advanced Methods for Modeling Markets
Editors: Peter S. H. Leeflang, Jaap E. Wieringa, Tammo H.A Bijmolt, Koen H. Pauwels
Series Title: International Series in Quantitative Marketing
DOI: https://doi.org/10.1007/978-3-319-53469-5
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-53467-1Published: 06 September 2017
Softcover ISBN: 978-3-319-85160-0Published: 13 May 2018
eBook ISBN: 978-3-319-53469-5Published: 29 August 2017
Series ISSN: 0923-6716
Series E-ISSN: 2199-1057
Edition Number: 1
Number of Pages: X, 733
Number of Illustrations: 51 b/w illustrations, 24 illustrations in colour
Topics: Market Research/Competitive Intelligence, Operations Research/Decision Theory