EconPapers    
Economics at your fingertips  
 

Influence of data vintage on quantification of expectations

Emilia Tomczyk
Additional contact information
Emilia Tomczyk: Warsaw School of Economics

Applied Econometrics Papers, 2014, vol. 1, issue 1, 64-83

Abstract: Importance of acknowledging data revisions – that is, corrections published after the initial announcement was made – has been repeatedly stressed in current economic literature. In this paper, I propose to test whether including information on data revisions infuences results of regression quantification procedures. Empirical analysis leads to the conclusion that end-of-sample data appears better suited for quantification of business tendency survey data on volume index of industrial production sold.

Date: 2014
References: Add references at CitEc
Citations:

Downloads: (external link)
http://kolegia.sgh.waw.pl/pl/KAE/struktura/IE/stru ... _Papers/aep14-04.pdf (application/pdf)

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:wse:journl:v:1:y:2014:i:1:p:64-83

Access Statistics for this article

Applied Econometrics Papers is currently edited by Marek Gruszczynski and Emilia Tomczyk

More articles in Applied Econometrics Papers from Department of Applied Econometrics, Warsaw School of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Marcin Owczarczuk ( this e-mail address is bad, please contact ).

 
Page updated 2025-03-20
Handle: RePEc:wse:journl:v:1:y:2014:i:1:p:64-83