<scp>Reputation in Auctions: Theory, and Evidence from</scp> e<scp>Bay</scp>

Houser, Daniel; Wooders, John

doi:10.1111/j.1530-9134.2006.00103.x

Cited by 547 publications

(369 citation statements)

References 19 publications

(33 reference statements)

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“…To provide a specific example, several studies investigated the importance attributed by consumers to the reputation of sellers in eBay using specifications of this sort (Houser and Wooders, 2000;Lucking-Reiley et al, 2000;McDonald and Slawson, 2002;Melnik and Alm, 2002). The problem with analyses that rely on such specification is not in the right-hand side of regression -covariates may indeed impact consumer preferences in a linear fashion -but rather in the left-hand side.…”

Section: Introductionmentioning

confidence: 99%

Econometrics of auctions by least squares

Rezende¹

2008

J of Applied Econometrics

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This paper proposes a method to structurally estimate an auction model using a variation of OLS, under commonly held assumptions in both auction theory and econometrics. In spite of its computational simplicity, the method applies to a wide variety of environments, including interdependent values in general, and certain forms of endogenous participation and bidder asymmetry. Furthermore, it can be used for hypotheses testing about the shape of the valuation distribution, valuation interdependence, or existence of bidder asymmetry.JEL Codes: D44, C14.

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Section: Introductionmentioning

confidence: 99%

Econometrics of auctions by least squares

Rezende¹

2008

J of Applied Econometrics

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“…Being the largest of only a handful of sellers (9 in our sample) at the time, it dominated the market (accounting for 488 of the 510 auctions), attracting buyers with a very even mix of experience. Overall, it was a seller's market [7]. Subsequently other, less experienced sellers entered the market increasing the diversity of supplies.…”

Section: A Goal Programming Optimization Modelmentioning

confidence: 99%

Market Analysis and Growth Prediction for Online Auctions:A Case Study with Restaurant Certificates

Ho¹

2010

IJTEF

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Abstract-Online auction is one of the few examples of how e-commerce over the Internet can truly transform a business model, rather than simply transplanting it to a different medium. From the selling and buying of personal possessions among private individuals, it has grown to become a major alternative distribution channel for most commercial goods. While restaurants may not be a natural fit for this model initially, viable markets are indeed emerging in the form of gift certificates and discount coupons. In this article, actual development in this approach to internet marketing and advertising in the restaurant industry is surveyed, and a framework for market analysis and growth prediction is presented in the context of market conditions for sellers and buyers. In particular, the methodology of maximum resolution dichotomy is introduced with a case study to analyze data available under the category of Restaurant Gift Certificates on eBay.com.

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“…Anonymity directs users' attention to the available features and typically also enforces group behaviour (Keipi and Oksanen, 2014;Spears et al, 2002). Hence, in cryptomarket, trust system is based on both direct feedback and successful communication (Hardy and Norgaard, 2015;Resnick, 2000;Houser and Wooders, 2006;Décary-Hétu and Leppänen, 2013;Lusthaus, 2012). Our hypotheses were grounded on these premises, and we expected that a positive seller reputation would be positively associated with that entity's daily sales.…”

Section: Introductionmentioning

confidence: 99%

“…Instability is one of the central features of online drug markets, as most items are sold quickly and the majority of sellers disappear within a few months (Christin, 2013). Hence, there is a need for building "reputation systems" (Resnick, 2000;Houser and Wooders, 2006) or "trust systems" (Lusthaus, 2012) on cryptomarkets. Public user feedback is one of the common parts of such reputation or trust systems.…”

Section: Introductionmentioning

confidence: 99%

Seller’s reputation and capacity on the illicit drug markets: 11-month study on the Finnish version of the Silk Road

Nurmi

Kaskela

Perälä

et al. 2017

Drug and Alcohol Dependence

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Aims: This 11-month study analysed illicit drug sales on the anonymous Tor network, with a focus on investigating whether a seller's reputation and capacity increased daily drug sales. Design and setting: The data was gathered from Silkkitie, the Finnish version of the Silk Road, by web crawling the site on a daily basis from November 2014 to September 2015). The data includes information on sellers (n=260) and products (n=3823). Measurements: The measurements include the sellers' reputation, the sale amounts (in euros), the number of available products and the types of drugs sold. The sellers' capacity was measured using their full sales potential (in euros). Fixed-effects regression models were used to estimate the effects of sellers' reputation and capacity; these models were adjusted for the types of drugs sold. Findings: Overall, illicit drug sales totalled over 2 million euros during the study, but many products were not sold at all, and sellers were active for only a short time on average (mean=62.8 days). Among the products sold, stimulants were most widely purchased, followed by cannabis, MDMA, and psychedelics. A seller's reputation and capacity were both associated with drug sales. Conclusion: The Tor network has enabled a transformation in drug sales. Due to the network's anonymity, the seller's reputation and capacity both have an impact on sales.

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Reputation in Auctions: Theory, and Evidence from eBay

Cited by 547 publications

References 19 publications

Econometrics of auctions by least squares

Econometrics of auctions by least squares

Market Analysis and Growth Prediction for Online Auctions:A Case Study with Restaurant Certificates

Seller’s reputation and capacity on the illicit drug markets: 11-month study on the Finnish version of the Silk Road

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