Temporal Aggregation Bias in Stock-Flow Models
The matching function describes the flow of job creation as a function of the stocks of unemployed and vacancies. Most empirical work tries to identify such a relationship by regressing the flow of matches (aggregated over the month) on the stocks of unemployment and vacancies measured at the beginning of that month. It is shown that estimates obtained using this procedure will be downward biased if unemployment and vacancies are mean-reverting processes. If the bias is small, the size of the bias is proportional to the length of the period interval. By further aggregating the data, say from monthly to quarterly data, the downward bias should triple. The resulting change in the parameter estimates can then be used to estimate the size of the original bias.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
|Date of creation:||May 1994|
|Contact details of provider:|| Postal: Centre for Economic Policy Research, 77 Bastwick Street, London EC1V 3PZ.|
Phone: 44 - 20 - 7183 8801
Fax: 44 - 20 - 7183 8820
|Order Information:|| Email: |
When requesting a correction, please mention this item's handle: RePEc:cpr:ceprdp:967. 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.