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Market Response Models: Econometric and Time Series Analysis

  • Dominique M. Hanssens
  • Leonard J. Parsons
  • Randall L. Schultz

Part of the International Series in Quantitative Marketing book series (ISQM, volume 2)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Introduction

    1. Front Matter
      Pages 1-1
    2. Dominique M. Hanssens, Leonard J. Parsons, Randall L. Schultz
      Pages 3-26
  3. Econometric and Time Series Model Building

    1. Front Matter
      Pages 27-27
    2. Dominique M. Hanssens, Leonard J. Parsons, Randall L. Schultz
      Pages 29-73
    3. Dominique M. Hanssens, Leonard J. Parsons, Randall L. Schultz
      Pages 75-108
    4. Dominique M. Hanssens, Leonard J. Parsons, Randall L. Schultz
      Pages 109-155
    5. Dominique M. Hanssens, Leonard J. Parsons, Randall L. Schultz
      Pages 157-170
  4. ETS Models in Marketing

    1. Front Matter
      Pages 171-171
    2. Dominique M. Hanssens, Leonard J. Parsons, Randall L. Schultz
      Pages 173-212
    3. Dominique M. Hanssens, Leonard J. Parsons, Randall L. Schultz
      Pages 213-233
    4. Dominique M. Hanssens, Leonard J. Parsons, Randall L. Schultz
      Pages 235-293
    5. Dominique M. Hanssens, Leonard J. Parsons, Randall L. Schultz
      Pages 295-313
  5. Conclusion

    1. Front Matter
      Pages 315-315
    2. Dominique M. Hanssens, Leonard J. Parsons, Randall L. Schultz
      Pages 317-337
  6. Back Matter
    Pages 339-388

About this book

Introduction

This book reports over a decade's worth of research on the development of empirical response models that have important uses for generating marketing knowledge and improving marketing decisions. Some of its contributions to marketing are the following: 1. It integrates state-of-the art technical material with discussions of its relevance to management. 2. It provides continuity to a research stream over 20 years old. 3. It illustrates how marketing generalizations are the basis of marketing theory and marketing knowledge. 4. It shows how the research can be applied to marketing planning and forecasting. 5. It presents original research in marketing. The book addresses both marketing researchers and marketing managers. This can be done because empirical decision models are helpful in practice and are also based on theories of response. Econometric and time series analysis (ETS) is one of the few areas in marketing where there is little, if any, conflict between the academic sphere and the world of professional practice. Market Response Models is a sequel to Marketing Models and Econometric Research, published in 1976. It is rare for a research-oriented book in market­ ing to be updated or to have a sequel. Unlike many other methodologies, ETS research in marketing has stood the test of time. It remains the main method for discovering relations among marketing variables.

Keywords

econometrics time series time series analysis

Authors and affiliations

  • Dominique M. Hanssens
    • 1
  • Leonard J. Parsons
    • 2
  • Randall L. Schultz
    • 3
  1. 1.University of CaliforniaLos AngelesUSA
  2. 2.Georgia Institute of TechnologyUSA
  3. 3.University of IowaUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-009-1073-7
  • Copyright Information Springer Science+Business Media B.V. 1990
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-94-010-6972-4
  • Online ISBN 978-94-009-1073-7
  • Series Print ISSN 0923-6716
  • Buy this book on publisher's site