Search and matching theory (economics)

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Matching theory (economics)
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In economics, search and matching theory is a mathematical framework attempting to describe the formation of mutually beneficial relationships over time. It is closely related to stable matching theory.

Search and matching theory has been especially influential in

macroeconomic outcome when one or more types of searchers interact.[citation needed] It offers a way of modeling markets in which frictions prevent instantaneous adjustments of the level of economic activity. Among other applications, it has been used as a framework for studying frictional unemployment
.

One of the founders of search and matching theory is

Nobel Prize in Economics for 'fundamental contributions to search and matching theory'.[2]

The matching function

A matching function is a mathematical relationship that describes the formation of new relationships (also called 'matches') from unmatched agents of the appropriate types. For example, in the context of job formation, matching functions are sometimes assumed to have the following 'Cobb–Douglas' form:

where , , and are positive constants. In this equation, represents the number of unemployed job seekers in the economy at a given time , and is the number of

vacant jobs
firms are trying to fill. The number of new relationships (matches) created (per unit of time) is given by .

A matching function is in general analogous to a

constant returns to scale
, that is, .[3]

If the fraction of jobs that separate (due to firing, quits, and so forth) from one period to the next is , then to calculate the change in employment from one period to the next we must add the formation of new matches and subtract off the separation of old matches. A period may be treated as a week, a month, a quarter, or some other convenient period of time, depending on the data under consideration. (For simplicity, we are ignoring the entry of new workers into the labor force, and death or retirement of old workers, but these issues can be accounted for as well.) Suppose we write the number of workers employed in period as , where is the

labor force
in period . Then given the matching function described above, the dynamics of employment over time would be given by

For simplicity, many studies treat as a fixed constant. But the fraction of workers separating per period of time can be determined endogenously if we assume that the value of being matched varies over time for each worker-firm pair (due, for example, to changes in productivity).[4]

Applications

Matching theory has been applied in many economic contexts, including:

  • Formation of jobs, from unemployed workers and vacancies opened by firms[1][4]
  • Allocation of loans from banks to entrepreneurs[5]
  • The role of money in facilitating sales when sellers and buyers meet[6]

Controversy

Matching theory has been widely accepted as one of the best available descriptions of the frictions in the

labor market, but some economists have recently questioned its quantitative accuracy. While unemployment exhibits large fluctuations over the business cycle, Robert Shimer has demonstrated that standard versions of matching models predict much smaller fluctuations in unemployment.[7]

See also

References