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Aggregation with Log-Linear Models Author info | Abstract | Publisher info | Download info | Related research | Statistics Lewbel, Arthur
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When economic theory suggests a log-linear specification for individual agents, e.g., Cobb-Douglas production, it is common to estimate the same log-linear model with aggregate data, invoking a representative agent assumption and thereby assuming away aggregation errors. This paper gives necessary and sufficient restrictions on the distribution of agents in an economy for log-linear agent models to aggregate into log-linear macro models, and discusses the aggregation bias resulting from violation of these restrictions. Theorems, tests, economic rationales, and empirical results are given. Included are connections to random walks and to cointegration. Analogous results for log-level models are derived. Copyright 1992 by The Review of Economic Studies Limited.
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Article provided by Blackwell Publishing in its journal Review of Economic Studies .
Volume (Year): 59 (1992)
Issue (Month): 3 (July)
Pages: 635-42
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Handle: RePEc:bla:restud:v:59:y:1992:i:3:p:635-42Contact details of provider: Web page: http://www.blackwellpublishing.com/journal.asp?ref=0034-6527
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