Skip to main content
Palgrave Macmillan
Book cover

Macroeconomic Survey Expectations

  • Book
  • © 2019

Overview

  • 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

Part of the book series: Palgrave Texts in Econometrics (PTEC)

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 99.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (10 chapters)

Keywords

About this book

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.

Authors and Affiliations

  • ICMA Centre, Henley Business School, University of Reading, UK

    Michael P. Clements

About the author

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. 



Bibliographic Information

Publish with us