Abstracts - faqs.org

Abstracts

Mathematics

Search abstracts:
Abstracts » Mathematics

Do government agencies use public data?: the case of GNP

Article Abstract:

The use of public data by government agencies is questioned. The US Council of Economic Advisers launched an initiative in 1991 to improve the quality of economic statistics, partially to minimize gross national product (GNP) estimate revisions. This may be accomplished in cost-effective and direct manner if the Dept. of Commerce uses publicly available data from other government agencies. Information is found to be inefficiently used where the absolute value of changes in the preliminary GNP estimate is sizable.

Author: Rathjens, Peter, Robins, Russell P.
Publisher: MIT Press Journals
Publication Name: Review of Economics and Statistics
Subject: Mathematics
ISSN: 0034-6535
Year: 1995
Analysis, Economic research, Information management, Gross national product, Administrative agencies, Government agencies

User Contributions:

Comment about this article or add new information about this topic:

CAPTCHA


Updating the forecast function of ARIMA models and the link with DLMs

Article Abstract:

Several techniques for updating forecasts of ARIMA statistical models exist and include individually updating each forecast and updating the eventual forecast function. A study demonstrates that the entire forecast function of ARIMA models may be updated including those time frames not covered by the eventual forecast function. This may be done using techniques developed for another class of time series models called dynamic linear models.

Author: Butler, Neil A.
Publisher: John Wiley & Sons, Inc.
Publication Name: Journal of Forecasting
Subject: Mathematics
ISSN: 0277-6693
Year: 1999
Econometrics & Model Building, Mathematical models, Statistics (Mathematics), Business models, Mathematical statistics

User Contributions:

Comment about this article or add new information about this topic:

CAPTCHA


Forecasting quarterly data using monthly information

Article Abstract:

An approach for improving quarterly forecasts by using within-quarter variations of monthly data is described. A comparison of the one-step-ahead and multi-step-ahead forecasts for real GNP generated is made, using the model, which is extremely simple but produces lower root mean squared errors. The outperformance of parsimonious models of larger-scale models is also illustrated.

Author: Rathjens, Peter, Robins, Russell P.
Publisher: John Wiley & Sons, Inc.
Publication Name: Journal of Forecasting
Subject: Mathematics
ISSN: 0277-6693
Year: 1993

User Contributions:

Comment about this article or add new information about this topic:

CAPTCHA


Subjects list: Research, Models, Econometrics, Economic forecasting
Similar abstracts:
  • Abstracts: The effectiveness of imprecise probability forecasts. Modelling the absolute returns of different stock indices: exploring the forecastability of an alternative measure of risk
  • Abstracts: Essential equilibria of n-person noncooperative games. An ordinal selection of stable sets in the sense of Hillas
  • Abstracts: Economies with a continuum of consumers, a continuum of suppliers and an infinite dimensional commodity space
  • Abstracts: An assessment of the relative importance of real interest rates, inflation, and term premiums in determining the prices of real and nominal U.K. bonds
  • Abstracts: On expenditure functions. Homothetic and weakly homothetic preferences. Utility functions on chains
This website is not affiliated with document authors or copyright owners. This page is provided for informational purposes only. Unintentional errors are possible.
Some parts © 2025 Advameg, Inc.