EconPapers    
Economics at your fingertips  
 

Methods explained: Data reduction and model selection techniques

Graeme Chamberlin
Additional contact information
Graeme Chamberlin: Office for National Statistics

Economic & Labour Market Review, 2007, vol. 1, issue 9, 62-67

Abstract: Outlines problems dealing with large numbers of variables, explaining techniques available toreduce them to more manageable proportions.Researchers and analysts now have access to increasingly large data sets. This article outlines some of the problems of dealing with alarge number of variables and explains some of the techniques that can be used to reduce the number of available indicators to a moremanageable size. This can be helpful in analysing the data or in modelling and forecasting work. Economic & Labour Market Review (2007) 1, 62–67; doi:10.1057/palgrave.elmr.1410141

Date: 2007
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.palgrave-journals.com/elmr/journal/v1/n9/pdf/1410141a.pdf Link to full text PDF (application/pdf)
http://www.palgrave-journals.com/elmr/journal/v1/n9/full/1410141a.html Link to full text HTML (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:pal:ecolmr:v:1:y:2007:i:9:p:62-67

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/41318

Access Statistics for this article

More articles in Economic & Labour Market Review from Palgrave Macmillan, Office for National Statistics
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:pal:ecolmr:v:1:y:2007:i:9:p:62-67