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Informational Matching

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Author Info
Silvio Rendón

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Abstract

This paper analyzes the problem of matching heterogeneous agents in a Bayesian learning model. One agent gives a noisy signal to another agent, who is responsible for learning. If production has a strong informational component, a phase of cross-matching occurs, so that agents of low knowledge catch up with those of higher one. It is shown that: (i) a greater informational component in production makes cross-matching more likely; (ii) as the new technology is mastered, production becomes relatively more physical and less informational; (iii) a greater dispersion of the ability to learn and transfer information makes self-matching more likely; and (iv) self-matching leads to more self-matching, whereas cross-matching can make less productive agents overtake more productive ones.

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File URL: http://www.econ.upf.edu/docs/papers/downloads/619.pdf
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Publisher Info
Paper provided by Department of Economics and Business, Universitat Pompeu Fabra in its series Economics Working Papers with number 619.

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Date of creation: May 2002
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Handle: RePEc:upf:upfgen:619

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Web page: http://www.econ.upf.edu/

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Related research
Keywords: Diffusion of information; Bayesian learning; matching; assortative mating;

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Find related papers by JEL classification:
C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis
D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure
J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
J41 - Labor and Demographic Economics - - Particular Labor Markets - - - Labor Contracts

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  1. Kremer, Michael, 1993. "The O-Ring Theory of Economic Development," The Quarterly Journal of Economics, MIT Press, vol. 108(3), pages 551-75, August. [Downloadable!] (restricted)
  2. Kremer, Michael, 1997. "How Much Does Sorting Increase Inequality?," The Quarterly Journal of Economics, MIT Press, vol. 112(1), pages 115-39, February.
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  3. Jovanovic, Boyan & Nyarko, Yaw, 1995. "The transfer of human capital," Journal of Economic Dynamics and Control, Elsevier, vol. 19(5-7), pages 1033-1064. [Downloadable!] (restricted)
    Other versions:
  4. Michael Kremer & Eric Maskin, 1996. "Wage Inequality and Segregation by Skill," NBER Working Papers 5718, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    Other versions:
  5. Robert Wilson, 1975. "Informational Economies of Scale," Bell Journal of Economics, The RAND Corporation, vol. 6(1), pages 184-195, Spring. [Downloadable!] (restricted)
  6. Jovanovic, Boyan & Nyarko, Yaw, 1994. "The Bayesian Foundations of Learning by Doing," Working Papers 94-15, C.V. Starr Center for Applied Economics, New York University. [Downloadable!]
  7. Michael Kremer & Eric Maskin, 1996. "Wage Inequality and Segregation," Harvard Institute of Economic Research Working Papers 1777, Harvard - Institute of Economic Research.
  8. Matthew F. Mitchell, 2000. "The Scope and Organization of Production: Firm Dynamics Over the Learning Curve," RAND Journal of Economics, The RAND Corporation, vol. 31(1), pages 180-205, Spring.
  9. Prescott, Edward C, 1972. "The Multi-Period Control Problem Under Uncertainty," Econometrica, Econometric Society, vol. 40(6), pages 1043-58, November. [Downloadable!] (restricted)
  10. Fernández, Raquel & Rogerson, Richard, 2000. "Sorting and Long-Run Inequality," CEPR Discussion Papers 2352, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
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This page was last updated on 2009-11-20.


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