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Title Market Response Models: Econometric and Time Series Analysis (International Series in Quantitative Marketing, Volume 12 ; 2nd Edition)
 
 
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Title Market Response Models: Econometric and Time Series Analysis (International Series in Quantitative Marketing, Volume 12 ; 2nd Edition) [Hardcover]

Dominique M. Hanssens (Author), Leonard J. Parsons (Author), Randall L. Schultz (Author)
4.3 out of 5 stars  See all reviews (3 customer reviews)

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Book Description

International Series in Quantitative Marketing March 31, 2001
This second edition of Market Response Models: -places much more emphasis on the basic building blocks of market response modeling: markets, data, and sales drivers, through a separate chapter. -splits the design of response models into separate chapters on static and dynamic models. -discusses techniques and findings spawned by the marketing information revolution, e.g., scanner data. -emphasizes new insights available on marketing sales drivers, especially improved understanding of sales promotion. -demonstrates methodological developments to assess long-term impacts, where present, of current marketing efforts. -includes a new chapter on sales forecasting. -adds mini-case histories in the form of boxed inserts entitled Industry Perspectives, which are primarily written by business executives. This book is truly the foundation of market response modeling.

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Product Details

  • Hardcover: 520 pages
  • Publisher: Springer; 2nd edition (March 31, 2001)
  • Language: English
  • ISBN-10: 0792378261
  • ISBN-13: 978-0792378266
  • Product Dimensions: 9.4 x 6.5 x 1.2 inches
  • Shipping Weight: 1.9 pounds (View shipping rates and policies)
  • Average Customer Review: 4.3 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Best Sellers Rank: #1,989,987 in Books (See Top 100 in Books)

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4.3 out of 5 stars (3 customer reviews)
 
 
 
 
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12 of 13 people found the following review helpful:
5.0 out of 5 stars Has All The Facts, April 10, 2004
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This review is from: Title Market Response Models: Econometric and Time Series Analysis (International Series in Quantitative Marketing, Volume 12 ; 2nd Edition) (Hardcover)
Great reference for building market models. A lot of good examples. Real world case studies. Easy to understand math formulas. Technical - but good!
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2 of 2 people found the following review helpful:
3.0 out of 5 stars Good, but not enough for practitioners, July 13, 2011
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Dan Zetu (Birmingham, MI United States) - See all my reviews
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This is a very good book primarily because it is the only book I am aware of that attempts a logical and exhaustive review of techniques used in developing market response models. However, like all other existing published material on the topic, it does little to fill the literature void from a practitioner's point of view. While some guidelines are indeed provided on building market response models, the book is mostly a review of the extant academic literature in the field. Examples of model specification and model results are few and far between. Part of the reason is that most academic literature in the field is devoid of implementation details that makes replicating the models very difficult if not impossible. Sadly, the dire need for a practitioner friendly book on market response models still exists. Overall, I would recommend buying the book because, despite the shortcomings I just mentioned, it is still the best material in the field out there.
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5.0 out of 5 stars Market Model Response Compendium, June 2, 2011
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Defcon (Kirkland, WA USA) - See all my reviews
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The text provides a valuable and seemingly complete review of existing model response theory, methods, and practices. Borrowing from marketing and other disciplines and papers, authors present a seminal compendium of market response models into one reference source. Some readers may need to review references and supporting statistics and model texts to fully understand and appreciate the complex models. The text is well organized and exceedingly well written, something that must be herald and sincerely appreciated by readers of this high quality technical text. In summary: "job well done"!
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Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
marketing analytics, marketing time series, market response study, market response modeling, market response analysis, multivariate persistence, sales response function, simple competitive reaction, market response models, explanatory forecasts, marketing decision variables, market response information, outlier protection, prewhitening method, stationary markets, advertising carryover, sales response model, market response functions, optimal marketing mix, market share elasticity, market share models, organizational validity, extrapolative forecasts, advertising elasticity, univariate time series analysis
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Empirical Evidence, Percent Better, United Kingdom, New York, Lydia Pinkham, United States, Crystal White Octagon, Murphy's Irish Stout, Forecast Pro, Current Effects Model, Autoregressive Current Effects, Economy Dry, Bumble Bee, Walkers Crisps, Chicken of the Sea, Industry Perspective, Akaike's Information Criterion, Vanden Abeele, West Germany
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