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On the evolution of individual preferences and family rules

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  • Alessandro Cigno
  • Alessandro Gioffré
  • Annalisa Luporini

Abstract

We study how the distribution of an inherited trait evolves through marriage if couples are formed at random. If the matching occurs across the entire population, the variance of the trait tends to diminish, and the distribution converges to a common trait. If the matching is restricted to specific subpopulations, each of these converges to a different trait. This has implications for the consequences of immigration. Using a specific model where the trait is a parameter measuring a person's taste for receiving filial attention (a good without perfect market substitutes) in old age, we also show that it may be in a couple's interest to obey a rule requiring them to give specified amounts of the good to their respective parents. The matching is random in this model because preferences are private monitoring. In the long run, if the matching extends to the entire population, either everybody obeys the rule, or nobody does. In the interim, some do, and some do not. If the matching is restricted to specific ethnic or religious groups, the population will tend to break down into a number of sharply characterized subpopulations. That may undermine social cohesion and call for policy intervention.

Suggested Citation

  • Alessandro Cigno & Alessandro Gioffré & Annalisa Luporini, 2019. "On the evolution of individual preferences and family rules," Working Papers - Economics wp2019_11.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
  • Handle: RePEc:frz:wpaper:wp2019_11.rdf
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    References listed on IDEAS

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    1. Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez, 2007. "Estimating Macroeconomic Models: A Likelihood Approach," Review of Economic Studies, Oxford University Press, vol. 74(4), pages 1059-1087.
    2. Del Negro, Marco & Schorfheide, Frank, 2008. "Forming priors for DSGE models (and how it affects the assessment of nominal rigidities)," Journal of Monetary Economics, Elsevier, vol. 55(7), pages 1191-1208, October.
    3. Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez & Manuel Santos, 2005. "Convergence Properties of the Likelihood of Computed Dynamic Models," Levine's Bibliography 122247000000000822, UCLA Department of Economics.
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    Cited by:

    1. Marco Lombardi & Silvia Sgherri, 2007. "(Un)naturally Low? Sequential Monte Carlo Tracking of the US Natural Interest Rate," DNB Working Papers 142, Netherlands Central Bank, Research Department.
    2. Amedeo Fossati & Rosella Levaggi, 2008. "Delay is not the answer: waiting time in health care & income redistribution," Working Papers 0801, University of Brescia, Department of Economics.
    3. Strid, Ingvar, 2010. "Efficient parallelisation of Metropolis-Hastings algorithms using a prefetching approach," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2814-2835, November.
    4. Caiani, Alessandro & Godin, Antoine & Caverzasi, Eugenio & Gallegati, Mauro & Kinsella, Stephen & Stiglitz, Joseph E., 2016. "Agent based-stock flow consistent macroeconomics: Towards a benchmark model," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 375-408.
    5. YANO Koiti, 2009. "Dynamic Stochastic General Equilibrium Models Under a Liquidity Trap and Self-organizing State Space Modeling," ESRI Discussion paper series 206, Economic and Social Research Institute (ESRI).
    6. Viktor Winschel & Markus Krätzig, 2008. "Solving, Estimating and Selecting Nonlinear Dynamic Models without the Curse of Dimensionality," SFB 649 Discussion Papers SFB649DP2008-018, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    7. Strid, Ingvar, 2008. "Metropolis-Hastings prefetching algorithms," SSE/EFI Working Paper Series in Economics and Finance 706, Stockholm School of Economics, revised 02 Dec 2009.
    8. Doh, Taeyoung, 2011. "Yield curve in an estimated nonlinear macro model," Journal of Economic Dynamics and Control, Elsevier, vol. 35(8), pages 1229-1244, August.

    More about this item

    Keywords

    Marriage; evolution; random matching; family rule; immigration;

    JEL classification:

    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
    • D13 - Microeconomics - - Household Behavior - - - Household Production and Intrahouse Allocation
    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure

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