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Modeling Markets

Analyzing Marketing Phenomena and Improving Marketing Decision Making

  • Book
  • © 2015

Overview

Authors:
  1. Peter S.H. Leeflang

    1. Department of Marketing, University of Groningen, Groningen, The Netherlands

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  2. Jaap E. Wieringa

    1. Department of Marketing, University of Groningen, Groningen, The Netherlands

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  3. Tammo H.A. Bijmolt

    1. Department of Marketing, University of Groningen, Groningen, The Netherlands

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  4. Koen H. Pauwels

    1. Marketing Department, Özyeğin University, Istanbul, Turkey

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  • Comprehensive coverage of data analysis methodology and techniques in quantitative marketing
  • Applies the most current topics, examples, research findings, and innovations in the field
  • Designed as a research and professional resource and for course use; based on previous volumes with strong adoptions

Part of the book series: International Series in Quantitative Marketing (ISQM)

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Building Models for Markets

    • Peter S. H. Leeflang, Jaap E. Wieringa, Tammo H. A. Bijmolt, Koen H. Pauwels
    Pages 1-24

  3. Model Specification

    • Peter S. H. Leeflang, Jaap E. Wieringa, Tammo H. A. Bijmolt, Koen H. Pauwels
    Pages 25-63

  4. Data

    • Peter S. H. Leeflang, Jaap E. Wieringa, Tammo H. A. Bijmolt, Koen H. Pauwels
    Pages 65-94

  5. Estimation and Testing

    • Peter S. H. Leeflang, Jaap E. Wieringa, Tammo H. A. Bijmolt, Koen H. Pauwels
    Pages 95-120

  6. Validation and Testing

    • Peter S. H. Leeflang, Jaap E. Wieringa, Tammo H. A. Bijmolt, Koen H. Pauwels
    Pages 121-174

  7. Re-estimation: Introduction to More Advanced Estimation Methods

    • Peter S. H. Leeflang, Jaap E. Wieringa, Tammo H. A. Bijmolt, Koen H. Pauwels
    Pages 175-222

  8. Examples of Models for Aggregate Demand

    • Peter S. H. Leeflang, Jaap E. Wieringa, Tammo H. A. Bijmolt, Koen H. Pauwels
    Pages 223-259

  9. Individual Demand Models

    • Peter S. H. Leeflang, Jaap E. Wieringa, Tammo H. A. Bijmolt, Koen H. Pauwels
    Pages 261-305

  10. Examples of Database Marketing Models

    • Peter S. H. Leeflang, Jaap E. Wieringa, Tammo H. A. Bijmolt, Koen H. Pauwels
    Pages 307-336

  11. Use: Implementation Issues

    • Peter S. H. Leeflang, Jaap E. Wieringa, Tammo H. A. Bijmolt, Koen H. Pauwels
    Pages 337-371

  12. Back Matter

    Pages 373-408
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Keywords

About this book

This book is about how models can be developed to represent demand and supply on markets, where the emphasis is on demand models. Its primary focus is on models that can be used by managers to support marketing decisions.

Modeling Markets presents a comprehensive overview of the tools and methodologies that managers can use in decision making. It has long been known that even simple models outperform judgments in predicting outcomes in a wide variety of contexts. More complex models potentially provide insights about structural relations not available from casual observations. 


In this book, the authors present a wealth of insights developed at the forefront of the field, covering all key aspects of specification, estimation, validation and use of models. The most current insights and innovations in quantitative marketing are presented, including in-depth discussion of Bayesian estimation methods. Throughout the book, the authors provide examples and illustrations. This book will be of interest to researchers, analysts, managers and students who want to understand, develop or use models of marketing phenomena.

Authors and Affiliations

  • Department of Marketing, University of Groningen, Groningen, The Netherlands

    Peter S.H. Leeflang, Jaap E. Wieringa, Tammo H.A. Bijmolt

  • Marketing Department, Özyeğin University, Istanbul, Turkey

    Koen H. Pauwels

Bibliographic Information

  • Book Title: Modeling Markets

  • Book Subtitle: Analyzing Marketing Phenomena and Improving Marketing Decision Making

  • Authors: 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/10.1007/978-1-4939-2086-0

  • Publisher: Springer New York, NY

  • eBook Packages: Business and Economics, Business and Management (R0)

  • Copyright Information: Springer Science+Business Media, LLC, part of Springer Nature 2015

  • Hardcover ISBN: 978-1-4939-2085-3Published: 13 November 2014

  • Softcover ISBN: 978-1-4939-4087-5Published: 23 August 2016

  • eBook ISBN: 978-1-4939-2086-0Published: 12 November 2014

  • Series ISSN: 0923-6716

  • Series E-ISSN: 2199-1057

  • Edition Number: 1

  • Number of Pages: XIV, 408

  • Number of Illustrations: 42 b/w illustrations, 1 illustrations in colour

  • Topics: Marketing, Management, Operations Research/Decision Theory

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