Menu Expand

Do Forecasters Inform or Reassure? Evaluation of the German Real-Time Data

Cite JOURNAL ARTICLE

Style

Kholodilin, K., Siliverstovs, B. Do Forecasters Inform or Reassure? Evaluation of the German Real-Time Data. Applied Economics Quarterly, 55(4), 269-293. https://doi.org/10.3790/aeq.55.4.269
Kholodilin, Konstantin A and Siliverstovs, Boriss "Do Forecasters Inform or Reassure? Evaluation of the German Real-Time Data" Applied Economics Quarterly 55.4, , 269-293. https://doi.org/10.3790/aeq.55.4.269
Kholodilin, Konstantin A/Siliverstovs, Boriss: Do Forecasters Inform or Reassure? Evaluation of the German Real-Time Data, in: Applied Economics Quarterly, vol. 55, iss. 4, 269-293, [online] https://doi.org/10.3790/aeq.55.4.269

Format

Do Forecasters Inform or Reassure? Evaluation of the German Real-Time Data

Kholodilin, Konstantin A | Siliverstovs, Boriss

Applied Economics Quarterly, Vol. 55 (2009), Iss. 4 : pp. 269–293

7 Citations (CrossRef)

Additional Information

Article Details

Kholodilin, Konstantin A

Siliverstovs, Boriss

Cited By

  1. The impact of fiscal opacity on business confidence: empirical investigation from an emerging economy

    de Mendonça, Helder Ferreira | Vereda Oliveira, Luciano | Dias, Matheus Ignacio Santos

    Journal of Economic Studies, Vol. (2024), Iss.

    https://doi.org/10.1108/JES-01-2024-0007 [Citations: 0]
  2. Fiscal opacity and reduction of income inequality through taxation: Effects on economic growth

    de Mendonça, Helder Ferreira | Baca, Adriana Cabrera

    The Quarterly Review of Economics and Finance, Vol. 83 (2022), Iss. P.69

    https://doi.org/10.1016/j.qref.2021.11.006 [Citations: 2]
  3. In-Sample and Out-of-Sample Prediction of Stock Market Bubbles: Cross-Sectional Evidence

    Herwartz, Helmut | Kholodilin, Konstantin A.

    SSRN Electronic Journal, Vol. (2011), Iss.

    https://doi.org/10.2139/ssrn.1980610 [Citations: 0]
  4. Can ignorance about the interest rate and macroeconomic surprises affect the stock market return? Evidence from a large emerging economy

    de Mendonça, Helder Ferreira | Díaz, Raime Rolando Rodríguez

    The North American Journal of Economics and Finance, Vol. 64 (2023), Iss. P.101868

    https://doi.org/10.1016/j.najef.2022.101868 [Citations: 3]
  5. In‐Sample and Out‐of‐Sample Prediction of stock Market Bubbles: Cross‐Sectional Evidence

    Herwartz, Helmut | Kholodilin, Konstantin A.

    Journal of Forecasting, Vol. 33 (2014), Iss. 1 P.15

    https://doi.org/10.1002/for.2269 [Citations: 10]
  6. Lack of fiscal transparency and economic growth expectations: an empirical assessment from a large emerging economy

    de Mendonça, Helder Ferreira | Calafate, Vítor Ribeiro Laufer

    Empirical Economics, Vol. 61 (2021), Iss. 6 P.2985

    https://doi.org/10.1007/s00181-020-02000-4 [Citations: 4]
  7. REAL‐TIME DATA AND FISCAL POLICY ANALYSIS: A SURVEY OF THE LITERATURE

    Cimadomo, Jacopo

    Journal of Economic Surveys, Vol. 30 (2016), Iss. 2 P.302

    https://doi.org/10.1111/joes.12099 [Citations: 44]

Abstract

The paper evaluates the quality of the German national accounting data (GDP and its use-side components) as measured by the magnitude and dispersion of the forecast / revision errors. It is demonstrated that government consumption series are the least reliable, whereas real GDP and real private consumption data are the most reliable. In addition, early forecasts of GDP, private consumption, and investment growth rates are shown to be systematically upward biased. Finally, early forecasts of all the variables seem to be no more accurate than naïve forecasts based on the historical mean of the final data.

JEL Classifications: C53; C89