GDP estimation errors: bias or white noise

Richard Parsons and David Reavis

Applied Economics Letters, 2015, vol. 22, issue 14, 1122-1126

Abstract: Questions have been raised about the accuracy and bias in the widely used advanced estimates of gross domestic product published by the US Bureau of Economic Analysis. This article will examine the data for any outward sign of prejudice or systematic bias. This pragmatic look at the numbers should help policy and business users of this information build confidence in the early GDP estimates.

Date: 2015
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/13504851.2015.1008755 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:apeclt:v:22:y:2015:i:14:p:1122-1126

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEL20

DOI: 10.1080/13504851.2015.1008755

Access Statistics for this article

Applied Economics Letters is currently edited by Anita Phillips

More articles in Applied Economics Letters from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().