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To Aggregate, Pool, or Neither: Testing the Rational Expectations Hypothesis Using Survey Data Author info | Abstract | Publisher info | Download info | Related research | Statistics Carl S Bonham () (Department of Economics, University of Hawaii at Manoa)
Richard H Cohen
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It is well known that even if all forecasters are rational, estimated coefficients in unbiasedness regressions using consensus forecasts are inconsistent because forecasters have private information. However, if all forecasters face a common realization, pooled estimators are also inconsistent. In contrast, we show that when predictions and realizations are integrated and cointegrated, micro-homogeneity ensures that consensus and pooled estimators are consistent. Therefore, contrary to claims in the literature, in the absence of micro-homogeneity, pooling is not a solution to the aggregation problem. We reject micro-homogeneity for a number of forecasts from the Survey of Professional Forecasters. Therefore, for these variables unbiasedness can only be tested at the individual level.
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Paper provided by University of Hawaii at Manoa, Department of Economics in its series Working Papers with number
200003.
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Length: 36 pages
Date of creation: 2000Date of revision:
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Keywords: Rational Expectations ; Micro-homogeneity ; Heterogeneity Bias ; Aggregation Bias ; Survey Forecasts ; Other versions of this item:
Article Bonham, Carl S & Cohen, Richard H, 2001.
"To Aggregate, Pool, or Neither: Testing the Rational-Expectations Hypothesis Using Survey Data ,"
Journal of Business & Economic Statistics ,
American Statistical Association, vol. 19(3), pages 278-91, July.
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Full
references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
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"Comparing Expectations and Outcomes: Application to UK Data ,"
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