The Aggregate Matching Function
We present a picture of the labor market, one with large flows of jobs and workers, and matching. We develop a consistent approach to the interaction among those flows and the stocks of unemployed workers and vacant jobs, and to the determination of wages. We estimate the matching function, using both aggregate data and data from manufacturing and find evidence of a stable matching process in the data. We examine the joint movements in unemployment, vacancies and wages -the Beveridge and Phillips curve relations- in the light of our model. We conclude that aggregate activity shocks rather than reallocation shocks dominate the movement of unemployment.
|Date of creation:||Nov 1989|
|Publication status:||published as Growth/Productivity/Unemployment, edited by Peter Diamond, pp. 159-201. Cambridge, MA: MIT Press, 1990.|
|Contact details of provider:|| Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.|
Web page: http://www.nber.org
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:3175. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ()
If references are entirely missing, you can add them using this form.