IDEAS home Printed from https://ideas.repec.org/a/eee/intfor/v6y1990i1p3-10.html
   My bibliography  Save this article

Forecaster ideology, forecasting technique, and the accuracy of economic forecasts

Author

Listed:
  • Bathcelor, Roy
  • Dua, Pami

Abstract

No abstract is available for this item.

Suggested Citation

  • Bathcelor, Roy & Dua, Pami, 1990. "Forecaster ideology, forecasting technique, and the accuracy of economic forecasts," International Journal of Forecasting, Elsevier, vol. 6(1), pages 3-10.
  • Handle: RePEc:eee:intfor:v:6:y:1990:i:1:p:3-10
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0169-2070(90)90093-Q
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Publishing House "SINERGIA PRESS", pages 106-135.
    2. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Publishing House "SINERGIA PRESS", pages 106-135.
    3. Braun, Steven N, 1990. "Estimation of Current-Quarter Gross National Product by Pooling Preliminary Labor-Market Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(3), pages 293-304, July.
    4. Gould, John P & Nelson, Charles R, 1974. "The Stochastic Structure of the Velocity of Money," American Economic Review, American Economic Association, pages 405-418.
    5. Milton Friedman & Anna J. Schwartz, 1963. "A Monetary History of the United States, 1867–1960," NBER Books, National Bureau of Economic Research, Inc, number frie63-1.
    6. John B. Carlson, 1989. "The indicator P-star: just what does it indicate?," Economic Commentary, Federal Reserve Bank of Cleveland, issue Sep.
    7. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, pages 139-162.
    8. Jeffrey J. Hallman & Richard D. Porter & David H. Small, 1989. "M2 per unit of potential GNP as an anchor for the price level," Staff Studies 157, Board of Governors of the Federal Reserve System (U.S.).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jan Christoph Ruelke & Ralf Fendel & Michael Frenkel, 2011. "Do Professional Forecasters Trust in Taylor-Type Rules? - Evidence from the Wall Street Journal Poll," Post-Print hal-00743770, HAL.
    2. Onkal, Dilek & Muradoglu, Gulnur, 1996. "Effects of task format on probabilistic forecasting of stock prices," International Journal of Forecasting, Elsevier, vol. 12(1), pages 9-24, March.
    3. Jörg Döpke & Ulrich Fritsche & Gabi Waldhof, 2017. "Theories, techniques and the formation of German business cycle forecasts: Evidence from a survey among professional forecasters," Working Papers 2017-002, The George Washington University, Department of Economics, Research Program on Forecasting.
    4. Dopke, Jorg, 2001. "Macroeconomic forecasts and the nature of economic shocks in Germany," International Journal of Forecasting, Elsevier, pages 181-201.
    5. Gerit Vogt, 2009. "Konjunkturprognose in Deutschland. Ein Beitrag zur Prognose der gesamtwirtschaftlichen Entwicklung auf Bundes- und Länderebene," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 36, April.
    6. Victor Zarnowitz, 1991. "Has Macro-Forecasting Failed?," NBER Working Papers 3867, National Bureau of Economic Research, Inc.
    7. Jonas Dovern & Johannes Weisser, 2009. "Accuracy, Unbiasedness and Efficiency of Professional Macroeconomic Forecasts: An empirical Comparison for the G7," Jena Economic Research Papers 2009-091, Friedrich-Schiller-University Jena.
    8. Webby, Richard & O'Connor, Marcus, 1996. "Judgemental and statistical time series forecasting: a review of the literature," International Journal of Forecasting, Elsevier, vol. 12(1), pages 91-118, March.
    9. Jonas Dovern & Ulrich Fritsche, 2008. "Estimating fundamental cross-section dispersion from fixed event forecasts," Macroeconomics and Finance Series 200801, Hamburg University, Department Wirtschaft und Politik.
    10. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2013. "A note on forecasting the prices of gold and silver: Asymmetric loss and forecast rationality," The Quarterly Review of Economics and Finance, Elsevier, vol. 53(3), pages 294-301.
    11. Konstantinidi, Eirini & Skiadopoulos, George, 2011. "Are VIX futures prices predictable? An empirical investigation," International Journal of Forecasting, Elsevier, pages 543-560.
    12. Ulrich Fritsche & Christian Pierdzioch, 2017. "Animal spirits, the stock market, and the unemployment rate: Some evidence for German data," Economics Bulletin, AccessEcon, pages 204-213.
    13. Lawrence, Michael & Goodwin, Paul & O'Connor, Marcus & Onkal, Dilek, 2006. "Judgmental forecasting: A review of progress over the last 25 years," International Journal of Forecasting, Elsevier, vol. 22(3), pages 493-518.
    14. Dovern, Jonas & Weisser, Johannes, 2011. "Accuracy, unbiasedness and efficiency of professional macroeconomic forecasts: An empirical comparison for the G7," International Journal of Forecasting, Elsevier, pages 452-465.
    15. Ashiya, Masahiro, 2006. "Forecast accuracy and product differentiation of Japanese Institutional Forecasters," International Journal of Forecasting, Elsevier, vol. 22(2), pages 395-401.
    16. repec:amu:wpaper:2013-04 is not listed on IDEAS
    17. Fildes, Robert, 2015. "Forecasters and rationality—A comment on Fritsche et al., Forecasting the Brazilian Real and Mexican Peso: Asymmetric loss, forecast rationality and forecaster herding," International Journal of Forecasting, Elsevier, pages 140-143.
    18. Batchelor, Roy & Dua, Pami, 1998. "Improving macro-economic forecasts: The role of consumer confidence," International Journal of Forecasting, Elsevier, vol. 14(1), pages 71-81, March.
    19. Masahiro Ashiya, 2010. "Testing homogeneity of Japanese CPI forecasters," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(5), pages 435-441.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:intfor:v:6:y:1990:i:1:p:3-10. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/ijforecast .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.