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Impact of observational learning on the darknet markets: an instrumental variables approach
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Economics.
2016 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This thesis explores the effects of consumer observational learning on the darknet markets. To accomlish this a unique micro dataset is created from the Agora market. By exploiting variations in how sales data are presented a novel IV strategy is developed to estimate the causal impact of vendor’s previous sales on their future rate of sales. The attained estimates are zero after sensitivity checks and I can not produce robust estimates of a causal effect. A difference in differences estimation is explored with similar results.

In addition to the estimation of obervational learning effects this thesis also presents an introduction to the darknet market ecosystem and suggests methods for parsing darknet market scrapes into usable datasets.

Place, publisher, year, edition, pages
2016.
Keyword [en]
Observational Learning, Darknet, Cryptomarket, Instrumental Variables, Agora, Narcotics
National Category
Economics
Identifiers
URN: urn:nbn:se:uu:diva-297487OAI: oai:DiVA.org:uu-297487DiVA: diva2:942013
Supervisors
Examiners
Available from: 2016-06-23 Created: 2016-06-23 Last updated: 2016-06-23Bibliographically approved

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