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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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ICMJE
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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