When and why do buyers rate in online markets?

Xiang Hui, Tobias J. Klein, Konrad Stahl

Online ratings play an important role in many markets. We study the often disputed information content of these ratings, by proposing a reduced-form Bayesian model of the typical buyer's rating decision. Our empirical evidence based on eBay raw data is in line with even intricate predictions from it. We thus have good reasons to calibrate the model to moments of the data. Our simulations suggest that the rating record reveals the seller’s type after about 100 transactions, or 65-70 ratings.

MoreLess

Year of publication:	February 2022
Authors:	Hui, Xiang ; Klein, Tobias J. ; Stahl, Konrad
Publisher:	Munich, Germany : CESifo, Center for Economic Studies & Ifo Institute
Subject:	online markets \| rating \| reputation \| Online-Marketing \| Internet marketing \| Reputation \| Online-Handel \| Online retailing \| Electronic Commerce \| E-commerce

freely available

Full text |

More access options

www.cesifo.org

Check Google Scholar

In German libraries (KVK)

I need help

Extent:	1 Online-Ressource (circa 60 Seiten) Illustrationen
Series:	CESifo working papers. - München : [Verlag nicht ermittelbar], ISSN 2364-1428, ZDB-ID 2065232-X. - Vol. no. 9562 (2022)
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Graue Literatur ; Non-commercial literature ; Arbeitspapier ; Working Paper
Language:	English
Other identifiers:	hdl:10419/252079 [Handle]
Classification:	D83 - Search, Learning, Information and Knowledge ; L12 - Monopoly; Monopolization Strategies ; L13 - Oligopoly and Other Imperfect Markets ; L81 - Retail and Wholesale Trade; Warehousing
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10012815762