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Survey Expectations Author info | Abstract | Publisher info | Download info | Related research | Statistics M. Hashem Pesaran
Martin Weale
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This paper focusses on survey expectations and discusses their uses for testing and modeling of expectations. Alternative models of expectations formation are reviewed and the importance of allowing for heterogeneity of expectations is emphasized. A weak form of the rational expectations hypothesis which focusses on average expectations rather than individual expectations is advanced. Other models of expectations formation, such as the adaptive expectations hypothesis, are briefly discussed. Testable implications of rational and extrapolative models of expectations are reviewed and the importance of the loss function for the interpretation of the test results is discussed. The paper then provides an account of the various surveys of expectations, reviews alternative methods of quantifying the qualitative surveys, and discusses the use of aggregate and individual survey responses in the analysis of expectations and for forecasting.
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Paper provided by Institute of Economic Policy Research (IEPR) in its series IEPR Working Papers with number
05.30.
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Length: 73 pages
Date of creation: Jul 2005Date of revision:
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Keywords: Models of Expectations Formation ; Survey Data ; Heterogeneity ; Tests of Rational Expectations ; Other versions of this item:
Paper M. Hashem Pesaran & Martin Weale, 2005.
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CESifo Working Paper No. , CESifo Group Munich.
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"Survey Expectations ,"
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[Downloadable!] Pesaran, M.H. & Weale, M., 2005.
"Survey Expectations ,"
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[Downloadable!] Chapter Find related papers by JEL classification: C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
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