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Testing dependence using copulas: the case of dual employment

  • Jeremy Michael D'Antoni
  • Ashok Kumar Mishra

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.

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File URL: http://hdl.handle.net/10.1080/13504851.2011.619483
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Article provided by Taylor & Francis Journals in its journal Applied Economics Letters.

Volume (Year): 19 (2012)
Issue (Month): 13 (September)
Pages: 1265-1269

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Handle: RePEc:taf:apeclt:v:19:y:2012:i:13:p:1265-1269
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