Macroeconomic Survey Expectations
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Beschreibung
Why should we be interested in macroeconomic survey expectations? This important book offers an in-depth treatment of this question from a point of view not covered in existing works on time-series econometrics and forecasting. Clements presents the nature of survey data, addresses some of the difficulties posed by the way in which survey expectations are elicited and considers the evaluation of point predictions and probability distributions. He outlines how, from a behavioural perspective, surveys offer insight into how economic agents form their expectations.
Michael Clements is Professor of Econometrics at the ICMA Centre, Henley Business School, University of Reading, UK. He is Series Editor of Palgrave Texts in Econometrics and Palgrave Advanced Texts in Econometrics, and has published extensively on time series econometrics, modelling and forecasting.
Why should we be interested in macroeconomic survey expectations? This important book offers an in-depth treatment of this question from a point of view not covered in existing works on time-series econometrics and forecasting. Clements presents the nature of survey data, addresses some of the difficulties posed by the way in which survey expectations are elicited and considers the evaluation of point predictions and probability distributions. He outlines how, from a behavioural perspective, surveys offer insight into how economic agents form their expectations.
Provides a long overdue treatment of survey expectations, which are not covered in works on time-series econometrics and forecasting Considers the particular challenges to, and potential rewards from, studying survey expectations Outlines the nature of survey data Explains why we should be interested in survey expectations
Autor*in
Michael P. Clements
Themen in »Macroeconomic Survey Expectations«
Time series econometrics Economic forecasting Macroeconomic survey expectations Macroeconometrics Expectations shocks Macroeconomic uncertainty Point Forecasts Probability Distributions Density evaluation Forecast data Behavioural Models of Expectations Formation