This paper starts with a definition and review of barter and countertrade and the reasons for their growth in modern times. The author develops a classification scheme for the various forms of countertrade based on the time horizon and the degree of capitalinvolved. In addition, he provides a conceptual framework for understanding the various forms of countertrade. He concludes by examining cor...

This paper is a reply to Barry Ickes' critique of my paper “Trust versus Illusion: What is Driving Demonetization in Russia?” in which I show that the data reject Barry Ickes' Virtual Economy explanation of barter in Russia in favor of an institutional explanation based on the lack of trust. JEL Classification: D20, G30, O10, P30

Title of Document: RECIPROCITY IN ONLINE MARKETS: EMPIRICAL STUDIES OF AUCTION AND BARTER MARKETS Shun Ye, Doctor of Philosophy, 2013 Directed By: Professor Siva Viswanathan, Department of Decision, Operations and Information Technologies Professor Il-Horn Hann, Department of Decision, Operations and Information Technologies My dissertation seeks to understand how reciprocity affects transactio...

Endogenous information structure is analyzed in a search model of production and exchange under qualitative uncertainty by allowing agents to invest in an inspection technology at a fixed cost where incurring a higher cost permits quality to be recognized with higher probability. In any equilibria where agents acquire information, some bad commodities are always produced. The information acquis...

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We consider the problem of efficient operation of a barter exchange platform for indivisible goods. We introduce a dynamic model of barter exchange where in each period one agent arrives with a single item she wants to exchange for a different item. We study a homogeneous and stochastic environment: an agent is interested in the item possessed by another agent with probability p, independently ...

We study polynomial-time clearing algorithms for the barter exchange problem. We put forward a family of carefully designed approximation algorithms with desirable worst-case guarantees. We further apply a series of novel heuristics to implement these algorithms. We demonstrate via kidney exchange data sets that these algorithms achieve near-optimal performances while outperforming the state-of...