Modeling Seller Behavior in the Ukrainian Computer Market

Author(s):  
Nataliya Melnyk ◽  
Mykola Dyvak ◽  
Bohdan Melnyk ◽  
Petro Stakhiv ◽  
Ivan Dyyak ◽  
...  
Keyword(s):  
2015 ◽  
Vol 7 (3) ◽  
pp. 85-103 ◽  
Author(s):  
David Grether ◽  
David Porter ◽  
Matthew Shum

We run a large field experiment with an online company specializing in selling used automobiles via ascending auctions. We manipulate experimentally the “price grid,” or the possible amounts that bidders can bid above the current standing price. Using two diverse auction sites, one in New York and one in Texas, we find that buyer and seller behavior differs strikingly across the two sites. Specifically, in Texas we find peculiar patterns of bidding among a small but prominent group of buyers suggesting that they are “cyber-shills” working on behalf of sellers. These patterns do not appear in the New York auctions. (JEL C93, D12, D44, L62, L81)


1970 ◽  
Vol 1 (3-4) ◽  
pp. 309-326
Author(s):  
L. J. GIACOLETTO ◽  
WILLIAM LAZER

2012 ◽  
Vol 127-128 ◽  
pp. 18-25 ◽  
Author(s):  
Modest Fluvià ◽  
Anna Garriga ◽  
Ricard Rigall-I-Torrent ◽  
Ernesto Rodríguez-Carámbula ◽  
Albert Saló

2010 ◽  
Vol 48 (4) ◽  
pp. 935-963 ◽  
Author(s):  
David Dranove ◽  
Ginger Zhe Jin

This essay reviews the theoretical and empirical literature on quality disclosure and certification. After comparing quality disclosure with other quality assurance mechanisms and describing a brief history of quality disclosure, we address two sets of theoretical issues. First, why don't sellers voluntarily disclose through a process of “unraveling” and, given the lack of unraveling, is it desirable to mandate seller disclosure? Second, when we rely on certifiers to act as the intermediary of quality disclosure, do certifiers necessarily report unbiased and accurate information? We further review empirical evidence on these issues, with a particular focus on healthcare, education, and finance. The empirical review covers quality measurement, the effect of third-party disclosure on consumer choice and seller behavior, as well as the economics of certifiers. (JEL D18, K32, L15, M31)


1989 ◽  
Vol 65 (3) ◽  
pp. 239 ◽  
Author(s):  
Douglas M. Larson ◽  
Ian W. Hardie

2015 ◽  
Vol 52 ◽  
pp. 477-505
Author(s):  
Athirai A. Irissappane ◽  
Jie Zhang

The performance of trust models highly depend on the characteristics of the environments where they are applied. Thus, it becomes challenging to choose a suitable trust model for a given e-marketplace environment, especially when ground truth about the agent (buyer and seller) behavior is unknown (called unknown environment). We propose a case-based reasoning framework to choose suitable trust models for unknown environments, based on the intuition that if a trust model performs well in one environment, it will do so in another similar environment. Firstly, we build a case base with a number of simulated environments (with known ground truth) along with the trust models most suitable for each of them. Given an unknown environment, case-based retrieval algorithms retrieve the most similar case(s), and the trust model of the most similar case(s) is chosen as the most suitable model for the unknown environment. Evaluation results confirm the effectiveness of our framework in choosing suitable trust models for different e-marketplace environments.


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