Testing the representative agent assumption: the distribution of parameters in a large-scale model of the EU 1972–1998

This study considers the validity of an assumption of the representative agent often made in economic models, that the behaviour of an economic group is adequately represented by each member of the group having the identical characteristics of the average. It can be tested whenever sufficient data are available to estimate sets of parameters of a model with and without the assumption that they are equal to some average. The specific test of the assumption is done for a set of 720 estimated parameters associated with the effects of technological change on industrial employment for 18 regions of Europe. The main finding is that the parameters are significantly different across industries and across regions and that an assumption that all responses to technological change are the same is not justified. Similar results are found for other parameters studied. This finding implies that the assumption that each industry has the same responses as an average, chosen from a literature review, is likely to be misleading. The data strongly suggest that behaviour is differentiated by industry and region.

[1]  John M. Chambers,et al.  Graphical Methods for Data Analysis , 1983 .

[2]  Cointegration and aggregation , 1993 .

[3]  O. Attanasio,et al.  Saving, Growth, and Investment: A Macroeconomic Analysis Using a Panel of Countries , 2000, Review of Economics and Statistics.

[4]  A. Kirman Whom Or What Does the Representative Individual Represent , 1992 .

[5]  M. Chakrabarty,et al.  The Representative Agent Hypothesis: An Empirical Test , 2003 .

[6]  Frank Schohl The Representative Agent in Macroeconomics , 1998 .

[7]  Maurice FitzGerald Scott,et al.  A new view of economic growth , 1989 .

[8]  Terry Barker Applied Economics and Public Policy: Large-scale energy–environment–economy modelling of the European Union , 1998 .

[9]  W. Hildenbrand How relevant are specifications of behavioral relations on the micro-level for modelling the time path of population aggregates? , 1998 .

[10]  M. Pesaran,et al.  Estimating Long-Run Relationships From Dynamic Heterogeneous Panels , 1995 .

[11]  H. White Asymptotic theory for econometricians , 1985 .

[12]  M. Pesaran Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure , 2004, SSRN Electronic Journal.

[13]  P. A. V. B. Swamy,et al.  Statistical Inference in Random Coefficient Regression Models , 1971 .

[14]  Ronald Smith Estimation and inference with non-stationary panel time-series data. , 2001 .

[15]  John Lewis Attack of the Clones : The Representative Agent and Welfare Analysis , 2002 .