An Information Theory Approach to the Aggregation of Log-Linear Models
In this paper, an unrestricted aggregation method for heterogeneous log-linear functions is presented. It employs inequality measures derived from information theory in the construction of an exact representation of the aggregate behavior of the economy. A condition for the identification of average micro parameters is proposed. It is shown that the method leads to previous results in the field when adequate restrictions are imposed. Two macroeconomic applications are discussed: the aggregation of the Lucas supply function and the time-inconsistent behavior of an egalitarian social planner facing agents with heterogeneous discount rates.
|Date of creation:||Jul 2000|
|Date of revision:|
|Publication status:||Published in Journal of Applied Econometrics, Vol. 18, no. 6 (Nov 2003)|
|Contact details of provider:|| Web page: http://www.bcb.gov.br/?english|
When requesting a correction, please mention this item's handle: RePEc:bcb:wpaper:4. 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: (Francisco Marcos Rodrigues Figueiredo)
If references are entirely missing, you can add them using this form.