Prototype quarterly statistics on U.S. gross domestic product by industry

This article is the second in a series of articles regarding Bureau of Economic Analysis' (BEA) efforts to produce GDP by industry statistics at quarterly intervals. The most recent recession and subsequent recovery has highlighted the need for more high-quality, real-time information on US eco...

Full description

Saved in:
Bibliographic Details
Published in:Survey of Current Business 2011-07, Vol.91 (7), p.32
Main Authors: Mayerhauser, Nicole M, Strassner, Erich H
Format: Article
Language:English
Subjects:
Aggregates
Alliances
Business cycles
Censuses
Commodities
Compensation
Consumer spending
Consumption
Deflation
Economic growth
Economic indicators
Economic statistics
Employment
Expenditures
Exports
GDP
Gross Domestic Product
International trade
Manufacturing
National income and product accounts
NIPA
Prices
Prototypes
Retail industry
Retail trade
Seasonal variations
Statistics
Technical services
Time series
Value added
Wages & salaries
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This article is the second in a series of articles regarding Bureau of Economic Analysis' (BEA) efforts to produce GDP by industry statistics at quarterly intervals. The most recent recession and subsequent recovery has highlighted the need for more high-quality, real-time information on US economic performance at the industry level. To provide a more detailed and precise view of the turning points in the economy, the BEA intends to soon produce quarterly GDP by industry statistics, which would provide more timely information on the accelerations and decelerations in economic growth at the industry level, including key information about changes in the industrial infrastructure of the US. These prototype quarterly results suggest the high value that quarterly GDP by industry data would provide. BEA has developed its prototype quarterly GDP by industry statistics in a multiphase process. The improved methodology is much more consistent with the methodology used to construct the time series of annual industry accounts than that used previously.
ISSN:0039-6222
1937-4534