Can Demand Theory Account for Anomalies in Estimates?

We investigate the theoretical possibility and empirical regularity of two troublesome anomalies that frequently arise when cross-price elasticities are estimated for a set of brands expected to be substitutes. These anomalies are the occurrence of: (a) negatively signed cross-elasticities; and (b)...

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Main Authors: Bonfrer, Andre, Berndt, Ernst, Silk, Alvin
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Language:English
Published: Institutional Knowledge at Singapore Management University 2006
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Online Access:https://ink.library.smu.edu.sg/lkcsb_research_smu/11
https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1010&context=lkcsb_research_smu
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spelling sg-smu-ink.lkcsb_research_smu-10102018-07-10T06:09:07Z Can Demand Theory Account for Anomalies in Estimates? Bonfrer, Andre Berndt, Ernst Silk, Alvin We investigate the theoretical possibility and empirical regularity of two troublesome anomalies that frequently arise when cross-price elasticities are estimated for a set of brands expected to be substitutes. These anomalies are the occurrence of: (a) negatively signed cross-elasticities; and (b) sign asymmetries in pairs of cross price elasticities. Drawing upon the Slutsky equation from neoclassical demand theory, we show how and why these anomalies may occur when cross elasticities are estimated for pairs of brands that are substitutes. We empirically examine these issues in the context of the widely used Multiplicative Competitive Interaction (MCI) and Multinomial Logit (MNL) specifications of the fully extended attraction models (Cooper and Nakanishi 1988). Utilizing a database of store-level scanner data for 25 categories and 127 brands of frequently purchased branded consumer goods, we find that about 18% of a total of 732 cross elasticity estimates are negative and approximately 40% of the 366 pairs of cross elasticities are sign asymmetric. Finally, we find that the occurrence of negatively signed cross elasticities can be partially explained by a set of hypothesized relationships between cross-price elasticities and brand share and elasticities of income and category demand. 2006-11-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/lkcsb_research_smu/11 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1010&context=lkcsb_research_smu http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection Lee Kong Chian School Of Business (SMU Access Only) eng Institutional Knowledge at Singapore Management University Marketing
institution Singapore Management University
building SMU Libraries
country Singapore
collection InK@SMU
language English
topic Marketing
spellingShingle Marketing
Bonfrer, Andre
Berndt, Ernst
Silk, Alvin
Can Demand Theory Account for Anomalies in Estimates?
description We investigate the theoretical possibility and empirical regularity of two troublesome anomalies that frequently arise when cross-price elasticities are estimated for a set of brands expected to be substitutes. These anomalies are the occurrence of: (a) negatively signed cross-elasticities; and (b) sign asymmetries in pairs of cross price elasticities. Drawing upon the Slutsky equation from neoclassical demand theory, we show how and why these anomalies may occur when cross elasticities are estimated for pairs of brands that are substitutes. We empirically examine these issues in the context of the widely used Multiplicative Competitive Interaction (MCI) and Multinomial Logit (MNL) specifications of the fully extended attraction models (Cooper and Nakanishi 1988). Utilizing a database of store-level scanner data for 25 categories and 127 brands of frequently purchased branded consumer goods, we find that about 18% of a total of 732 cross elasticity estimates are negative and approximately 40% of the 366 pairs of cross elasticities are sign asymmetric. Finally, we find that the occurrence of negatively signed cross elasticities can be partially explained by a set of hypothesized relationships between cross-price elasticities and brand share and elasticities of income and category demand.
format text
author Bonfrer, Andre
Berndt, Ernst
Silk, Alvin
author_facet Bonfrer, Andre
Berndt, Ernst
Silk, Alvin
author_sort Bonfrer, Andre
title Can Demand Theory Account for Anomalies in Estimates?
title_short Can Demand Theory Account for Anomalies in Estimates?
title_full Can Demand Theory Account for Anomalies in Estimates?
title_fullStr Can Demand Theory Account for Anomalies in Estimates?
title_full_unstemmed Can Demand Theory Account for Anomalies in Estimates?
title_sort can demand theory account for anomalies in estimates?
publisher Institutional Knowledge at Singapore Management University
publishDate 2006
url https://ink.library.smu.edu.sg/lkcsb_research_smu/11
https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1010&context=lkcsb_research_smu
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