Testing dependence using copulas: The case of dual employment

Jeremy Michael D'Antoni, Ashok Mishra

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Copulas are functions that parameterize the dependence between univariate marginal distribution functions to form a joint distribution function. Copulas provide a consistent procedure for testing dependence and guiding the choice of empirical model. In this study we use copulas to measure the dependence in labour supply by married farm couples. Using individual data our research provides an easy method that researchers can use to address the issues of dependence. The method outlined here reduces computational time and provides a more efficient method of testing dependence early in the investigative process. Unlike previous studies findings from this study show with robustness that labour supply decision of married farm couples is best modelled jointly.

Original languageEnglish (US)
Pages (from-to)1265-1269
Number of pages5
JournalApplied Economics Letters
Volume19
Issue number13
DOIs
StatePublished - Sep 2012
Externally publishedYes

Fingerprint

Copula
Testing
Farm
Labor supply
Distribution function
Joint distribution
Robustness
Empirical model

Keywords

  • copula
  • dependence
  • dual employment
  • married farm couples
  • off-farm labour supply

ASJC Scopus subject areas

  • Economics and Econometrics

Cite this

Testing dependence using copulas : The case of dual employment. / D'Antoni, Jeremy Michael; Mishra, Ashok.

In: Applied Economics Letters, Vol. 19, No. 13, 09.2012, p. 1265-1269.

Research output: Contribution to journalArticle

D'Antoni, Jeremy Michael ; Mishra, Ashok. / Testing dependence using copulas : The case of dual employment. In: Applied Economics Letters. 2012 ; Vol. 19, No. 13. pp. 1265-1269.
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