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Survey Expectations

By M. Hashem Pesaran and Martin Weale


This paper focuses 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 focuses on average expectationsrather 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 expectationsare reviewed and the importance of the loss function for the interpretation of the test results is discussed. The paper thenprovides 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

Topics: Classification-JEL: C40, C50, C53, C80, models of expectation formation, survey data, heterogeneity, tests of rational expectations
Publisher: Faculty of Economics
Year: 2006
OAI identifier:
Provided by: Apollo

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  6. (1990). Charts, Noise in Fundamentals in the London Foreign Exchange Market’, doi
  7. (1990). Comparing Information in Forecasts from Econometric Models’, doi
  8. (2002). Conjontures Sectorielles et pr´ evision ` a Court Terme de l’Activit´ e: l’Apport de l’Enquˆ ete de Conjonture dans les Services’, doi
  9. (1993). Constructing Leading Indicators from Non-balanced Sectoral Business Survey Series’, doi
  10. (1964). Consumer Attitudes, Buying Plans and Purchases of Durable Goods: A Principal Components, Time Series Approach’, doi
  11. (1989). Cross-sectional Evidence on the Rationality of the Means and Variance of Inflation Expectations, doi
  12. (1998). Decision Making in the Presence of Heterogeneous doi
  13. (1999). Disagreement and Uncertainty’, doi
  14. (1996). Disagreement as a Measure of Uncertainty’, doi
  15. (1998). Earnings Expectations, Revisions and Realizations’, doi
  16. (1999). Estimation and Testing of Forecast Rationality under Flexible Loss’, Review of Economic Studies. doi
  17. (2001). Estimation of Income Expectations Models using Expectations and Realization Data’, doi
  18. (1992). Expectation Calculation and Macroeconomic Dynamics’,
  19. (1982). Expectations, Output and Inflation’, doi
  20. (1955). Federal Reserve Consultant Committee on Consumer Survey Statistics
  21. (1995). Formation des Anticipations Boursi` eres’,
  22. (1999). How Certain are Dutch Households about Future Income? An Emprical Analysis.’, doi
  23. (2003). How Should We Measure Consumer Confidence (Sentiment)? doi
  24. (2004). How should we Measure Consumer Confidence?’, doi
  25. (1991). In Search of a Strictly Rational Forecast’, doi
  26. (2001). Learning and Expectations in Macroeconomics, doi
  27. (2002). Local Convergence Properties of a Cobweb Model with Rationally Heterogeneous Expectations’, doi
  28. (2003). Macro-economic Expectations of Households and Professional Forecasters’, doi
  29. (1998). Measurement Errors and Data Estimation: the Quantification of Survey Data, doi
  30. (2005). Measuring and Interpreting Expectations of Equity Returns. doi
  31. (1985). Modelling the Formation of Price Expectations: a Bayesian Approach’,
  32. (1993). On the Use of Dispersion Measures from NAPM Surveys in Business Cycle Forecasting’, doi
  33. (1997). Optimal Prediction Under Asymmetric Loss’, doi
  34. (1999). Re-examining the Rational Expectations Hypothesis using Panel Data on Multi-period Forecasts, doi
  35. (2004). Testing Near-rationality using Survey Data. Sveriges Riksbank Working Paper No. doi
  36. (1952). The Business Test of the IFO-Institute for Economic Research, Munich, and its Theoretical Model’, doi
  37. (1994). The Combination of Forecasts using Changing Weights’, doi
  38. (1997). The Livingston Survey: still Useful after all these Years’, Federal Reserve Bank of Philadelphia Business Review March/April,
  39. (1956). The Monetary Dynamics of Hyper-inflation,
  40. (1995). The Relationship between Manufacturing Production and Different Busienss Surveys in Sweden, 1968-1992’,
  41. (1989). The Relationship Between the Level and Variability of Inflation: Theory and Evidence’, doi
  42. (2004). The Theory of Rationally Heterogeneous Expectations: Evidence from Survey Data on Inflation Expectations’, doi
  43. (2001). To Aggregate, Pool, or Neither: Testing the Rational Expectations Hypothesis Using Survey Data’, doi
  44. (2004). Transforming Qualitative Survey Data: Performance Comparisons for the UK’, doi
  45. (1997). Using Expectations Data to Study Subjective Income Expectations’, doi
  46. (2000). Variance Rationality: a Direct Test,
  47. (1981). What do Economists Know? An Empirical doi

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