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Econometric models in marketing

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Econometric models in marketing/ edited by P.H. Franses, A.L. Montgomery.
other author:	Franses, Philip Hans,
Published:	Amsterdam ;JAI, : 2002.,
Description:	1 online resource (ix, 350 p.) :ill. :
Subject:	Marketing - Econometric models. -
Online resource:	http://www.emeraldinsight.com/0731-9053/16
ISBN:	9781849501422 (electronic bk.)

Econometric models in marketing
Econometric models in marketing[electronic resource] /edited by P.H. Franses, A.L. Montgomery. - Amsterdam ;JAI,2002. - 1 online resource (ix, 350 p.) :ill. - Advances in econometrics ;v. 16. - Advances in econometrics ;v. 12..

Includes bibliographical references.

Econometric models in marketing : editors' introduction / Philip Hans Franses, Alan L. Montgomery -- The role of stated intentions in new product purchase forecasting / Cheng Hsiao, Baohong Sun, Vicki G. Morwitz -- A decision theoretic framework for profit maximization in direct marketing / Lars Muus, Hiek van der Scheer, Tom Wansbeek -- New and improved direct marketing : a non-parametric approach / Racine S. Jeffrey -- Estimating market-level multiplicative models of promotion effects with linearly aggregated data : a parametric approach / Albert C. Bemmaor, Udo Wagner -- Market structure across stores : an application of a random coefficients logit model with store level data / Pradeep Chintagunta, Jean-Pierre Dubcøe, Vishal Singh -- Econometric analysis of the market share attraction model / Dennis Fok, Philip Hans Franses, RichardPaap -- Reflecting uncertainty about economic theory when estimating consumer demand / Alan L. Montgomery -- Discrete choice models incorporating revealed preferences and psychometric data / Taka Morikawa, Moshe Ben-Akiva, Daniel McFadden -- A study of spurious regression and model discrimination in the generalized bass model / Frank M. Bass,Shuba Srinivasan -- Using stochastic frontier analysis for performance measurement and benchmarking/ Leonard J. Parsons -- Analysis of multi-category purchase incidence decisions using IRI market basket data / Siddhartha Chib, P.B. Seetharaman, Andrei Strijnev -- Advances in optimum experimental design for conjoint analysis and discrete choice models / Heiko Gromann, Heinz Holling, Rainer Schwabe.

In the 16th Edition of Advances in Econometrics, we present twelve papers discussing the current interface between Marketing and Econometrics. The authors are leading scholars in the fields andintroduce the latest models for analysing marketing data. The papers are representativeof the typesof problems and methods that are used within the field ofmarketing. Marketing focuses on the interaction between the firm and the consumer. Economics encompasses this interaction as well as many others. Economics, along with psychology and sociology, provides a theoretical foundation for marketing.Given the applied nature of marketing research, measurement and quantitative issues arise frequently. Quantitative marketing tends to rely heavily upon statistics and econometrics. However, quantitative marketing can place a different emphasis upon the problem than econometrics, even when using thesame techniques. A basicdifference between quantitative marketing research and econometrics tends to be the pragmatism that is found in many marketing studies. Another important motivating factor in marketing research is the type of data that is available. Applied econometrics tends to rely heavilyon datacollected by governmental organizations. In contrast, marketing often uses data collected byprivate firms or marketing research firms. Observational and survey data are quite similar to thoseused in econometrics. However, the remaining types of data, panel and transactional, can look quitedifferent from what may be familiar to econometricians. The automation and computerization of much of the sales transaction process leaves an audit trail that results in huge quantities of data. A popular area of study is the use of scanner data collected at the checkout stand using bar code readers. Methods that work for small data sets may not work well in these larger data sets. In addition, new sources of data, such as clickstream data from a web site, will offer new challenges.This volume addresses these and related issues.

ISBN: 9781849501422 (electronic bk.)

LCCN: 2002281798Subjects--Topical Terms:

809434
Marketing
--Econometric models.

LC Class. No.: HF5415.122 / .E29 2002

Dewey Class. No.: 380.1/01/5195

Universal Decimal Class. No.: 339.138

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520 $a In the 16th Edition of Advances in Econometrics, we present twelve papers discussing the current interface between Marketing and Econometrics. The authors are leading scholars in the fields andintroduce the latest models for analysing marketing data. The papers are representativeof the typesof problems and methods that are used within the field ofmarketing. Marketing focuses on the interaction between the firm and the consumer. Economics encompasses this interaction as well as many others. Economics, along with psychology and sociology, provides a theoretical foundation for marketing.Given the applied nature of marketing research, measurement and quantitative issues arise frequently. Quantitative marketing tends to rely heavily upon statistics and econometrics. However, quantitative marketing can place a different emphasis upon the problem than econometrics, even when using thesame techniques. A basicdifference between quantitative marketing research and econometrics tends to be the pragmatism that is found in many marketing studies. Another important motivating factor in marketing research is the type of data that is available. Applied econometrics tends to rely heavilyon datacollected by governmental organizations. In contrast, marketing often uses data collected byprivate firms or marketing research firms. Observational and survey data are quite similar to thoseused in econometrics. However, the remaining types of data, panel and transactional, can look quitedifferent from what may be familiar to econometricians. The automation and computerization of much of the sales transaction process leaves an audit trail that results in huge quantities of data. A popular area of study is the use of scanner data collected at the checkout stand using bar code readers. Methods that work for small data sets may not work well in these larger data sets. In addition, new sources of data, such as clickstream data from a web site, will offer new challenges.This volume addresses these and related issues.
588 $a Description based on print version record.
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700 1 $a Montgomery, A. $q (Alan) $3 809433
830 0 $a Advances in econometrics ; $v v. 12. $3 809020
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