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2012 | OriginalPaper | Buchkapitel

Endogeneity and Exogeneity in Sales Response Functions

verfasst von : Wolfgang Polasek

Erschienen in: Challenges at the Interface of Data Analysis, Computer Science, and Optimization

Verlag: Springer Berlin Heidelberg

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Abstract

Endogeneity and exogeneity are topics that are mainly discussed in macroeconomics. We show that sales response functions (SRF) are exposed to the same problem if we assume that the control variables in a SRF reflect behavioral reactions of the supply side. The supply side actions are covering a flexible marketing component which could interact with the sales responses if sales managers decide to react fast according to new market situations. A recent article of Kao et al. (Evaluating the effectiveness of marketing expenditures, Working Paper, Ohio State University, Fisher College of Business, 2005) suggested to use a class of production functions under constraints to estimate the sales responses that are subject to marketing strategies. In this paper we demonstrate this approach with a simple SRF(1) model that contains one endogenous variable. Such models can be extended by further exogenous variables leading to SRF-X models. The new modeling approach leads to a multivariate equation system and will be demonstrated using data from a pharma-marketing survey in German regions.

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Literatur
Zurück zum Zitat Baier D, Polasek W (2010) Marketing and regional sales: Evaluation of expenditure strategies by spatial sales response functions. In: Bock HH, Gaul W, Schader M, Bodendorf F, Bryant PG, Critchley F, Diday E, Ihm P, Meulmann J, Nishisato S, Ohsumi N, Opitz O, Radermacher FJ, Wille R, Locarek-Junge H, Weihs C (eds) Classification as a tool for research, studies in classification, data analysis, and knowledge organization. Springer Berlin Heidelberg, pp 673–681 Baier D, Polasek W (2010) Marketing and regional sales: Evaluation of expenditure strategies by spatial sales response functions. In: Bock HH, Gaul W, Schader M, Bodendorf F, Bryant PG, Critchley F, Diday E, Ihm P, Meulmann J, Nishisato S, Ohsumi N, Opitz O, Radermacher FJ, Wille R, Locarek-Junge H, Weihs C (eds) Classification as a tool for research, studies in classification, data analysis, and knowledge organization. Springer Berlin Heidelberg, pp 673–681
Zurück zum Zitat Chib S, Greenberg E (1995) Understanding the Metropolis-Hastings algorithm. Am Stat 49:327–335 Chib S, Greenberg E (1995) Understanding the Metropolis-Hastings algorithm. Am Stat 49:327–335
Zurück zum Zitat Kao LJ, Chiu CC, Gilbride T, Otter T, Allenby GM (2005) Evaluating the effectiveness of marketing expenditures. Working Paper, Ohio State University, Fisher College of Business Kao LJ, Chiu CC, Gilbride T, Otter T, Allenby GM (2005) Evaluating the effectiveness of marketing expenditures. Working Paper, Ohio State University, Fisher College of Business
Zurück zum Zitat Newton MA, Raftery AE (1994) Approximate Bayesian inference with the weighted likelihood bootstrap (with discussion). J Royal Stat Soc B 56:3–48MathSciNetMATH Newton MA, Raftery AE (1994) Approximate Bayesian inference with the weighted likelihood bootstrap (with discussion). J Royal Stat Soc B 56:3–48MathSciNetMATH
Zurück zum Zitat Polasek W (2010) Sales response functions (SRF) with stochastic derivative constraints. Working Paper, Institute of Advanced Studies, Wien Polasek W (2010) Sales response functions (SRF) with stochastic derivative constraints. Working Paper, Institute of Advanced Studies, Wien
Metadaten
Titel
Endogeneity and Exogeneity in Sales Response Functions
verfasst von
Wolfgang Polasek
Copyright-Jahr
2012
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-24466-7_52