This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Advertising, learning, and consumer choice in experience good markets: an empirical examination

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Daniel A. Ackerberg

Additional information is available for the following registered author(s):

Abstract

This article empirically analyzes different effects of advertising in a nondurable, experience good market. A dynamic learning model of consumer behavior is presented in which I allow both "informative" effects of advertising and "prestige" or "image" effects of advertising. This learning model is estimated using consumer level panel data tracking grocery purchases and advertising exposures over time. Empirical results suggest that in this market, advertising's primary effect was that of informing consumers. The estimates are used to quantify the value of this information to consumers and evaluate the welfare implications of an alternative advertising regulatory regime. Copyright 2003 By The Economics Department Of The University Of Pennsylvania And Osaka University Institute Of Social And Economic Research Association.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.blackwell-synergy.com/servlet/useragent?func=synergy&synergyAction=showTOC&journalCode=iere&volume=44&issue=3&year=2003&part=null
File Format: text/html
File Function: link to full text
Download Restriction: Access to full text is restricted to subscribers.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Publisher Info
Article provided by Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association in its journal International Economic Review.

Volume (Year): 44 (2003)
Issue (Month): 3 (08)
Pages: 1007-1040
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:ier:iecrev:v:44:y:2003:i:3:p:1007-1040

Contact details of provider:
Postal: 160 McNeil Building, 3718 Locust Walk, Philadelphia, PA 19104-6297
Phone: (215) 898-8487
Fax: (215) 573-2057
Email:
Web page: http://www.econ.upenn.edu/ier
More information through EDIRC

Order Information:
Email:
Web: http://www.blackwellpublishing.com/subs.asp?ref=0020-6598

For technical questions regarding this item, or to correct its listing, contact: ().

Related research
Keywords:

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Mark Israel, 2005. "Services as Experience Goods: An Empirical Examination of Consumer Learning in Automobile Insurance," American Economic Review, American Economic Association, vol. 95(5), pages 1444-1463, December. [Downloadable!]
  2. Pradeep Chintadunta & Renna Jiang & Ginger Z. Jin, 2008. "Information, Learning, and Drug Diffusion: the Case of Cox-2 Inhibitors," NBER Working Papers 14252, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  3. Kyoo il Kim, 2006. "Semiparametric Estimation of Signaling Games," Working Papers 19-2006, Singapore Management University, School of Economics. [Downloadable!]
  4. Michael Chernew & Gautam Gowrisankaran & Dennis P. Scanlon, 2002. "Learning and the value of information: the case of health plan report cards," Working Papers in Applied Economic Theory 2002-17, Federal Reserve Bank of San Francisco. [Downloadable!]
  5. Jean-Pierre Dubé & Güenter J. Hitsch & Peter E. Rossi, 2009. "State Dependence and Alternative Explanations for Consumer Inertia," NBER Working Papers 14912, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  6. Yingyao Hu & Matthew Shum, 2008. "Nonparametric Identification of Dynamic Models with Unobserved State Variables," Economics Working Paper Archive 543, The Johns Hopkins University,Department of Economics. [Downloadable!]
    Other versions:
  7. Ken Hendricks & Alan Sorensen, 2006. "Information Spillovers in the Market for Recorded Music," NBER Working Papers 12263, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  8. Martin Gaynor & Yunfeng Shi & Rahul Telang & William Vogt, 2005. "Cell Phone Demand and Consumer Learning – An Empirical Analysis," Working Papers 05-28, NET Institute, revised Oct 2005. [Downloadable!]
  9. Sergei Koulayev, 2008. "Estimating search with learning," Working Papers 08-29, NET Institute, revised Oct 2008. [Downloadable!]
  10. Michael Chernew & Gautam Gowrisankaran & Dennis P. Scanlon, 2001. "Learning and the Value of Information: Evidence From Health Plan Report Cards," NBER Working Papers 8589, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  11. Fernandez, Jose, 2008. "An Empirical Model of Learning under Ambiguity: The Case of Clinical Trials," MPRA Paper 8621, University Library of Munich, Germany. [Downloadable!]
  12. Ivan Maryanchyk, 2008. "Are Ratings Informative Signals? The Analysis of The Netflix Data," Working Papers 08-22, NET Institute, revised Oct 2008. [Downloadable!]
Statistics
Access and download statistics

Did you know? IDEAS is not the only service displaying RePEc data. Choose on RePEc which service fits your needs best.

This page was last updated on 2009-11-21.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.