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Jack of All Trades or a Master of One? Specialization, Trade, and Money


Gabriele Camera


Economics Science Institute, Chapman University; WWZ, University of Basel

Robert R. Reed III


University of Kentucky - Gatton College of Business and Economics

Christopher J. Waller


University of Notre Dame - Department of Economics


International Economic Review, Vol. 44, pp. 1275-1294, November 2003

Abstract:     
We consider a model of decentralized exchange where individuals choose the set of goods they produce. Specialization involves producing a smaller set of goods and doing it more proficiently. In doing so, agents reduce production costs, but also reduce the ease of trading their output. We derive the equilibrium degree of specialization and examine how it is affected by underlying fundamentals. Due to the existence of a hold-up problem, individuals specialize too little relative to the social optimum. Introducing money leads to more specialization relative to barter and increases welfare.

Number of Pages in PDF File: 20

Accepted Paper Series


Date posted: October 20, 2003  

Suggested Citation

Camera, Gabriele, Reed III, Robert R. and Waller, Christopher J., Jack of All Trades or a Master of One? Specialization, Trade, and Money. International Economic Review, Vol. 44, pp. 1275-1294, November 2003. Available at SSRN: http://ssrn.com/abstract=452783

Contact Information

Gabriele Camera (Contact Author)
Economics Science Institute, Chapman University ( email )
Orange, CA 92866
United States
HOME PAGE: http://www1.chapman.edu/~camera/
WWZ, University of Basel ( email )
Petersplatz 1
Basel, CH-4003
Switzerland
HOME PAGE: http://www1.chapman.edu/~camera/
Robert Reed
University of Kentucky - Gatton College of Business and Economics ( email )
Department of Economics
Lexington, KY 40506
United States
Christopher J. Waller
University of Notre Dame - Department of Economics ( email )
434 Flanner Hall
Notre Dame, IN 46556
United States
574-631-4963 (Phone)
574-631-9238 (Fax)
HOME PAGE: http://www.nd.edu/~cwaller/
Feedback to SSRN (Beta)


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