Recent development of covariance structure analysis in economics

Kazuhiko Hayakawa

Econometrics and Statistics, 2024, vol. 29, issue C, 31-48

Abstract: A survey on the recent development of covariance structure analysis (CSA) in economics is provided. First, estimation, inference, specification tests, and the treatment of missing values are discussed for a general CSA model. Subsequently, to demonstrate the applications of CSA in economics, statistical analyses of income dynamics and panel regression models with endogeneity are examined. Finally, some future research directions are discussed.

Keywords: Covariance structure analysis; Structural equation modeling; Missing data; Panel data; Income process; Dynamic panel data models; Endogenous variable; Measurement error (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S2452306221001179
Full text for ScienceDirect subscribers only. Contains open access articles

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:eee:ecosta:v:29:y:2024:i:c:p:31-48

DOI: 10.1016/j.ecosta.2021.10.002

Access Statistics for this article

Econometrics and Statistics is currently edited by E.J. Kontoghiorghes, H. Van Dijk and A.M. Colubi

More articles in Econometrics and Statistics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().