Federal Budget Projections: A Nonparametric Assessment of Bias and Efficiency
AbstractAs an important initial step in the annual budget process, the President presents to Congress each January his budget with details of federal spending activity and priorities. Our paper is a statistical assessment of the merit of the budget figures submitted to Congress. We investigate the overall budget as well as several important specific accounts. An important aspect of our paper is the introduction of a nonparametric methodology which incorporates exact tests for assessing the unbiasedness, and the internal and external consistency of forecasts. The empirical evidence shows that the nonparametric results confirm the presence of bias in forecasts on the outlay side suggested by regression results, but tends to find fewer series exhibiting bias on the revenue side. On the other hand the nonparametric approach lends greater support to the conclusion that the government's budget projections do not fully exploit available information. Copyright 1995 by MIT Press.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by MIT Press in its journal Review of Economics & Statistics.
Volume (Year): 77 (1995)
Issue (Month): 1 (February)
Contact details of provider:
Web page: http://mitpress.mit.edu/journals/
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Francis X. Diebold & Jose A. Lopez, 1996.
"Forecast Evaluation and Combination,"
NBER Technical Working Papers
0192, National Bureau of Economic Research, Inc.
- Francis X. Diebold & Todd A. Gunther & Anthony S. Tay, .
"Evaluating Density Forecasts,"
CARESS Working Papres
97-18, University of Pennsylvania Center for Analytic Research and Economics in the Social Sciences.
- Francis X. Diebold & Todd A. Gunther & Anthony S. Tay, 1997. "Evaluating Density Forecasts," NBER Technical Working Papers 0215, National Bureau of Economic Research, Inc.
- Francis X. Diebold & Todd A. Gunther & Anthony S. Tay, 1997. "Evaluating density forecasts," Working Papers 97-6, Federal Reserve Bank of Philadelphia.
- Francis X. Diebold & Todd A. Gunther & Anthony S. Tay, 1997. "Evaluating Density Forecasts," Center for Financial Institutions Working Papers 97-37, Wharton School Center for Financial Institutions, University of Pennsylvania.
- Bryan Campbell & Eric Ghysels, 1997.
"An Empirical Analysis of the Canadian Budget Process,"
Canadian Journal of Economics,
Canadian Economics Association, vol. 30(3), pages 553-76, August.
- Campbell, B. & Ghysels, E., 1995. "An Empirical Analysis of the Canadian Budget Process," Cahiers de recherche 9523, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- Bryan Campbell & Eric Ghysels, 1995. "An Empirical Analysis of the Canadian Budget Process," CIRANO Working Papers 95s-08, CIRANO.
- Campbell, B. & Ghysels, E., 1995. "An Empirical Analysis of the Canadian Budget Process," Cahiers de recherche 9523, Universite de Montreal, Departement de sciences economiques.
- Kitchen, John, 2003.
"Observed Relationships Between Economic And Technical Receipts Revisions In Federal Budget Projections,"
22004, University Library of Munich, Germany.
- Kitchen, John, 2003. "Observed Relationships between Economic and Technical Receipts Revisions in Federal Budget Projections," National Tax Journal, National Tax Association, vol. 56(2), pages 337-53, June.
- Elliott, Graham & Timmermann, Allan G, 2007.
CEPR Discussion Papers
6158, C.E.P.R. Discussion Papers.
- Sergey V. Chernenko, 2004. "The information content of forward and futures prices: market expectations and the price of risk," International Finance Discussion Papers 808, Board of Governors of the Federal Reserve System (U.S.).
- Elliott, Graham & Komunjer, Ivana & Timmermann, Allan G, 2003. "Estimating Loss Function Parameters," CEPR Discussion Papers 3821, C.E.P.R. Discussion Papers.
- Alexander, Marcus & Christakis, Nicholas A., 2008. "Bias and asymmetric loss in expert forecasts: A study of physician prognostic behavior with respect to patient survival," Journal of Health Economics, Elsevier, vol. 27(4), pages 1095-1108, July.
- Teresa Leal & Javier J. Pérez & Mika Tujula & Jean-Pierre Vidal, 2008.
"Fiscal Forecasting: Lessons from the Literature and Challenges,"
Institute for Fiscal Studies, vol. 29(3), pages 347-386, 09.
- Leal, Teresa & Pérez, Javier J. & Tujula, Mika & Vidal, Jean-Pierre, 2007. "Fiscal forecasting: lessons from the literature and challenges," Working Paper Series 0843, European Central Bank.
- Roland Döhrn, 2006. "Improving Business Cycle Forecasts’ Accuracy - What Can We Learn from Past Errors?," RWI Discussion Papers 0051, Rheinisch-Westfälisches Institut für Wirtschaftsforschung.
- Auerbach, Alan J., 1999.
"On the Performance and Use of Government Revenue Forecasts,"
National Tax Journal,
National Tax Association, vol. 52(n. 4), pages 765-82, December.
- Auerbach, Alan Jeffrey, 1999. "On the Performance and Use of Government Revenue Forecasts," Berkeley Olin Program in Law & Economics, Working Paper Series qt8h845262, Berkeley Olin Program in Law & Economics.
- Elkin Castaño Vélez & Luis Fernando Melo Velandia, 2000. "Metodos de combinacion de pronosticos: una aplicacion a la inflacion," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 52, pages 113-165, Enero Jun.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Karie Kirkpatrick).
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.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 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.