Paper #619

Título:

Informational matching

Autor:

Silvio Rendón

Data:

Mayo 2002

Resumen:

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.

Palabras clave:

Diffusion of information, Bayesian learning, matching, assortative mating

Códigos JEL:

C11, D83, J12, J24, J41

Área de investigación:

Microeconomía

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