Expectations are central to behaviour. Despite the existence of subjective expectations data, the standard approach is to ignore these, to hypothecate a model of behaviour and to infer expectations from realisations. In the context of income models, we reveal the informational gain obtained from using both a canonical model and subjective expectations data. We propose a test for this informational gain, and illustrate our approach with an application to the problem of measuring income risk.
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Paper provided by Department of Applied Economics at Universitat Autonoma of Barcelona in its series Working Papers with number
wpdea0310.
Find related papers by JEL classification: D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations D91 - Microeconomics - - Intertemporal Choice and Growth - - - Intertemporal Consumer Choice; Life Cycle Models and Saving D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data
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References listed on IDEAS 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.:
Burgess, Simon & Gardiner, Karin & Jenkins, Stephen P & Propper, Carol, 2000.
"Measuring Income Risk,"
CEPR Discussion Papers
2512, C.E.P.R. Discussion Papers.
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