The Use of Qualitative Business TendencySurveys for Forecasting Business Investmentin Germany
Investment in equipment and machinery is a very important component of GDP. In this paper we examine whether data from business tendency surveys are useful for a timely assessment of current investment behavior. In addition we investigate whether the survey results are helpful for forecastinginvestment growth in the short run. The first question is addressed with thehelp of spectral analysis. To study the forecast ability we estimate linearautoregressive and additive autoregressive models. The forecasting performance is assessed through filtered residuals. The analyses show that the business survey is indeed a useful tool for assessing investment in equipment and machinery.
|Date of creation:||2005|
|Contact details of provider:|| Postal: Poschingerstr. 5, 81679 München|
Web page: http://www.cesifo-group.de
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Daniel Pena & Ismael Sanchez, 2005. "Multifold Predictive Validation in ARMAX Time Series Models," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 135-146, March.
- Oliner, Stephen & Rudebusch, Glenn & Sichel, Daniel, 1995.
"New and Old Models of Business Investment: A Comparison of Forecasting Performance,"
Journal of Money, Credit and Banking,
Blackwell Publishing, vol. 27(3), pages 806-826, August.
- Stephen Oliner & Glenn Rudebusch & Daniel Sichel, 1993. "New and old models of business investment: a comparison of forecasting performance," Working Paper Series / Economic Activity Section 141, Board of Governors of the Federal Reserve System (U.S.).
When requesting a correction, please mention this item's handle: RePEc:ces:ifowps:_no.13. 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: (Klaus Wohlrabe)
If references are entirely missing, you can add them using this form.