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Coupling Couples With Copulas: Analysis Of Assortative Matching On Risk Attitude

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  • Aristidis K. Nikoloulopoulos
  • Peter G. Moffatt

Abstract

We investigate patterns of assortative matching on risk attitude, using self‐reported (ordinal) data on risk attitudes for males and females within married couples, from the German Socio‐Economic Panel over the period 2004–2012. We apply a novel copula‐based bivariate panel ordinal model. Estimation is in two steps: first, a copula‐based Markov model is used to relate the marginal distribution of the response in different time periods, separately for males and females; second, another copula is used to couple the males' and females' conditional (on the past) distributions. We find positive dependence, both in the middle of the distribution, and in the joint tails, and we interpret this as positive assortative matching (PAM). Hence we reject standard assortative matching theories based on risk‐sharing assumptions, and favor models based on alternative assumptions such as the ability of agents to control income risk. We also find evidence of “assimilation”; that is, PAM appearing to increase with years of marriage. (JEL C33, C51, D81)

Suggested Citation

  • Aristidis K. Nikoloulopoulos & Peter G. Moffatt, 2019. "Coupling Couples With Copulas: Analysis Of Assortative Matching On Risk Attitude," Economic Inquiry, Western Economic Association International, vol. 57(1), pages 654-666, January.
    • Handle: RePEc:bla:ecinqu:v:57:y:2019:i:1:p:654-666
    DOI: 10.1111/ecin.12726
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    Cited by:

    1. Keith A. Bender & Colin P. Green & John S. Heywood, 2021. "Performance pay and assortative matching," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(4), pages 485-493, September.
    2. Nikoloulopoulos, Aristidis K., 2023. "Efficient and feasible inference for high-dimensional normal copula regression models," Computational Statistics & Data Analysis, Elsevier, vol. 179(C).

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    More about this item

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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