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An Information Theory Approach to the Aggregation of Log-Linear Models

Listed author(s):
  • Pedro H. Albuquerque

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.

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Paper provided by Central Bank of Brazil, Research Department in its series Working Papers Series with number 4.

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Date of creation: Jul 2000
Publication status: Published in Journal of Applied Econometrics, Vol. 18, no. 6 (Nov 2003)
Handle: RePEc:bcb:wpaper:4
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