Replication data for: Trading across Borders in Online Auctions
Principal Investigator(s): View help for Principal Investigator(s) Elena Krasnokutskaya; Christian Terwiesch; Lucia Tiererova
Version: View help for Version V1
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Project Citation:
Krasnokutskaya, Elena, Terwiesch, Christian, and Tiererova, Lucia. Replication data for: Trading across Borders in Online Auctions. Nashville, TN: American Economic Association [publisher], 2018. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E114361V1
Project Description
Summary:
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We invoke the insights from the auction literature to study trade in services using data from an online market for programming support. We find that the observed clustering of trade between countries can be rationalized through a model featuring endogenous sorting of sellers who are heterogeneous in both quality and costs across projects offered by buyers who differ in outside option and willingness to pay for quality. To accommodate the possibility of such an outcome we extend a single-auction entry model to a setting where sellers choose among multiple projects. This feature plays an important role in explaining the data and understanding the effects of various trade policies.
Scope of Project
JEL Classification:
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D44 Auctions
F14 Empirical Studies of Trade
L15 Information and Product Quality; Standardization and Compatibility
L86 Information and Internet Services; Computer Software
D44 Auctions
F14 Empirical Studies of Trade
L15 Information and Product Quality; Standardization and Compatibility
L86 Information and Internet Services; Computer Software
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