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Interpreting and evaluating CESIfo's World Economic Survey directional forecasts

Author

Listed:
  • Hutson, Mark
  • Joutz, Fred
  • Stekler, Herman

Abstract

Using the Carlson and Parkin (1975) framework and employing the Pesaran–Timmermann (1992) Predictive Failure statistic, we evaluate several consensus forecast series from CESIfo's World Economic Survey. Several issues are examined related to interpreting qualitative survey responses. We define what an “about the same” response implies across different economic variables, the value of agreement across the forecast panel, and how to maximize the signal value provided by the survey. We find that survey respondents provide statistically significant directional forecasts or signals.

Suggested Citation

  • Hutson, Mark & Joutz, Fred & Stekler, Herman, 2014. "Interpreting and evaluating CESIfo's World Economic Survey directional forecasts," Economic Modelling, Elsevier, vol. 38(C), pages 6-11.
  • Handle: RePEc:eee:ecmode:v:38:y:2014:i:c:p:6-11
    DOI: 10.1016/j.econmod.2013.11.032
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    References listed on IDEAS

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    1. Dasgupta, Susmita & Lahiri, Kajal, 1992. "A Comparative Study of Alternative Methods of Quantifying Qualitative Survey Responses Using NAPM Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(4), pages 391-400, October.
    2. Sydney C. Ludvigson, 2004. "Consumer Confidence and Consumer Spending," Journal of Economic Perspectives, American Economic Association, vol. 18(2), pages 29-50, Spring.
    3. Balke, Nathan S & Petersen, D'Ann, 2002. "How Well Does the Beige Book Reflect Economic Activity? Evaluating Qualitative Information Quantitatively," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(1), pages 114-136, February.
    4. Pesaran, M Hashem & Timmermann, Allan, 1992. "A Simple Nonparametric Test of Predictive Performance," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(4), pages 561-565, October.
    5. Breitung, Jörg & Schmeling, Maik, 2013. "Quantifying survey expectations: What’s wrong with the probability approach?," International Journal of Forecasting, Elsevier, vol. 29(1), pages 142-154.
    6. Jeffrey H. Dorfman, 1998. "Bayesian Composite Qualitative Forecasting: Hog Prices Again," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(3), pages 543-551.
    7. Gopal Naik & Raymond M. Leuthold, 1986. "A Note on Qualitative Forecast Evaluation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(3), pages 721-726.
    8. Kajal Lahiri & Xuguang Sheng, 2010. "Measuring forecast uncertainty by disagreement: The missing link," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 514-538.
    9. Michela Nardo, 2003. "The Quantification of Qualitative Survey Data : A Critical Assessment," Journal of Economic Surveys, Wiley Blackwell, vol. 17(5), pages 645-668, December.
    10. Carlson, John A & Parkin, J Michael, 1975. "Inflation Expectations," Economica, London School of Economics and Political Science, vol. 42(166), pages 123-138, May.
    11. Croushore, Dean, 2005. "Do consumer-confidence indexes help forecast consumer spending in real time?," The North American Journal of Economics and Finance, Elsevier, vol. 16(3), pages 435-450, December.
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    Citations

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    Cited by:

    1. Tsuchiya, Yoichi, 2016. "Do production managers predict turning points? A directional analysis," Economic Modelling, Elsevier, vol. 58(C), pages 1-8.
    2. Oscar Claveria & Enric Monte & Salvador Torra, 2018. "“Tracking economic growth by evolving expectations via genetic programming: A two-step approach”," AQR Working Papers 201801, University of Barcelona, Regional Quantitative Analysis Group, revised Jan 2018.
    3. repec:spr:qualqt:v:51:y:2017:i:6:d:10.1007_s11135-016-0416-0 is not listed on IDEAS
    4. repec:spr:soinre:v:135:y:2018:i:1:d:10.1007_s11205-016-1490-3 is not listed on IDEAS
    5. Oscar Claveria & Enric Monte & Salvador Torra, 2017. "Let the data do the talking: Empirical modelling of survey-based expectations by means of genetic programming," IREA Working Papers 201711, University of Barcelona, Research Institute of Applied Economics, revised May 2017.
    6. repec:eee:ecmode:v:72:y:2018:i:c:p:270-277 is not listed on IDEAS
    7. Johanna Garnitz & Robert Lehmann & Klaus Wohlrabe, 2019. "Forecasting GDP all over the world using leading indicators based on comprehensive survey data," CESifo Working Paper Series 7691, CESifo Group Munich.
    8. Garnitz, Johanna & Lehmann, Robert & Wohlrabe, Klaus, 2017. "Forecasting GDP all over the World: Evidence from Comprehensive Survey Data," MPRA Paper 81772, University Library of Munich, Germany.
    9. repec:kap:compec:v:53:y:2019:i:2:d:10.1007_s10614-017-9767-4 is not listed on IDEAS
    10. repec:kap:empiri:v:46:y:2019:i:2:d:10.1007_s10663-017-9395-1 is not listed on IDEAS

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    Keywords

    Evaluating surveys; Directional forecasts;

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