EconPapers    
Economics at your fingertips  
 

Factor Analysis

Wolfgang Karl Härdle and Leopold Simar
Additional contact information
Wolfgang Karl Härdle: Humboldt-Universität zu Berlin, C.A.S.E. Centre f. Appl. Stat. & Econ. School of Business and Economics

Chapter Chapter 12 in Applied Multivariate Statistical Analysis, 2015, pp 359-384 from Springer

Abstract: Abstract A frequently applied paradigm in analysing data from multivariate observations is to model the relevant information (represented in a multivariate variable X) as coming from a limited number of latent factors. In a survey on household consumption, for example, the consumption levels, X, of p different goods during 1 month could be observed. The variations and covariations of the p components of X throughout the survey might in fact be explained by two or three main social behaviour factors of the household. For instance, a basic desire of comfort or the willingness to achieve a certain social level or other social latent concepts might explain most of the consumption behaviour.

Keywords: Factor Model; Factor Score; Specific Variance; Spectral Decomposition; Factor Analysis Model (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
Chapter: Factor Analysis (2024)
Chapter: Factor Analysis (2019)
Chapter: Factor Analysis (2003)
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:spr:sprchp:978-3-662-45171-7_12

Ordering information: This item can be ordered from
http://www.springer.com/9783662451717

DOI: 10.1007/978-3-662-45171-7_12

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-06-19
Handle: RePEc:spr:sprchp:978-3-662-45171-7_12