Advanced methods for modeling markets
Author(s)
Bibliographic Information
Advanced methods for modeling markets
(International series in quantitative marketing)
Springer, c2017
Available at 5 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Other editors: Jaap E. Wieringa, Tammo H.A. Bijmolt, Koen H. Pauwels
Includes bibliographical references and indexes
Description and Table of Contents
Description
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.
Table of Contents
Advanced Methods for Modeling Markets.- Advanced Individual Demand Models.- Traditional Time Series.- State Space Models.- Spatial Models.- Structural Models.- Statistical Mediation Analysis - Modeling Competitive Responsiveness and Game Theoretic Models.- Diffusion and Adoption Models.- Structural Equation Modeling.- Partial Least Squares Path Modeling.- Mixture Models.- Hidden Markov Models in Marketing.- Generalized Method of Moments.- Bayesian Analysis.- Non and Semiparametric Regression Models.- Endogeneity in Market Models.- Machine Learning and Big Data.- The Future of Marketing Modeling.
by "Nielsen BookData"