Copulas in econometrics
Publication
, Journal Article
Fan, Y; Patton, AJ
Published in: Annual Review of Economics
January 1, 2014
Copulas are functions that describe the dependence between two or more random variables. This article provides a brief review of copula theory and two areas of economics in which copulas have played important roles: multivariate modeling and partial identification of parameters that depend on the joint distribution of two random variables with fixed or known marginal distributions. We focus on bivariate copulas but provide references on recent advances in constructing higher-dimensional copulas. © 2014 by Annual Reviews. All rights reserved.
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Published In
Annual Review of Economics
DOI
EISSN
1941-1391
ISSN
1941-1383
Publication Date
January 1, 2014
Volume
6
Start / End Page
179 / 200
Related Subject Headings
- 3803 Economic theory
- 3801 Applied economics
Citation
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Chicago
ICMJE
MLA
NLM
Fan, Y., & Patton, A. J. (2014). Copulas in econometrics. Annual Review of Economics, 6, 179–200. https://doi.org/10.1146/annurev-economics-080213-041221
Fan, Y., and A. J. Patton. “Copulas in econometrics.” Annual Review of Economics 6 (January 1, 2014): 179–200. https://doi.org/10.1146/annurev-economics-080213-041221.
Fan Y, Patton AJ. Copulas in econometrics. Annual Review of Economics. 2014 Jan 1;6:179–200.
Fan, Y., and A. J. Patton. “Copulas in econometrics.” Annual Review of Economics, vol. 6, Jan. 2014, pp. 179–200. Scopus, doi:10.1146/annurev-economics-080213-041221.
Fan Y, Patton AJ. Copulas in econometrics. Annual Review of Economics. 2014 Jan 1;6:179–200.
Published In
Annual Review of Economics
DOI
EISSN
1941-1391
ISSN
1941-1383
Publication Date
January 1, 2014
Volume
6
Start / End Page
179 / 200
Related Subject Headings
- 3803 Economic theory
- 3801 Applied economics