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Residential Choices of Young Americans

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  • Patacchini, Eleonora

    (Cornell University)

  • Arduini, Tiziano

    (University of Bologna)

Abstract

Using detailed data on a cohort of young Americans who were in their late twenties and early thirties in 2008, we investigate the importance of forces different from economic incentives in nest-leaving decisions. We apply recent methods from social network econometrics to identify the importance of peers net of confounding factors. For the entire sample, our findings reveal no evidence of peer effects. Indicators of parenting and the social structure of families appear to be the major factors in the decisions to coreside with parents. However, for those who moved back home after a few years of living alone, we find strong peer effects. These findings are consistent with theories of social influences in peer groups in which peers play a critical role for individuals with time-inconsistent preferences.

Suggested Citation

  • Patacchini, Eleonora & Arduini, Tiziano, 2016. "Residential Choices of Young Americans," IZA Discussion Papers 10186, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp10186
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    Cited by:

    1. Büchel, Konstantin & Ehrlich, Maximilian V. & Puga, Diego & Viladecans-Marsal, Elisabet, 2020. "Calling from the outside: The role of networks in residential mobility," Journal of Urban Economics, Elsevier, vol. 119(C).
    2. Buechel, Berno & Mechtenberg, Lydia & Petersen, Julia, 2018. "If I can do it, so can you! Peer effects on perseverance," Journal of Economic Behavior & Organization, Elsevier, vol. 155(C), pages 301-314.
    3. Virág Ilyés & István Boza & László Lőrincz & Rikard H Eriksson, 2023. "How to enter high-opportunity places? The role of social contacts for residential mobility," Journal of Economic Geography, Oxford University Press, vol. 23(2), pages 371-395.

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    More about this item

    Keywords

    control function approach; spatial autoregressive model; endogenous network formation; social networks; living arrangements; Bayesian estimation; social multiplier;
    All these keywords.

    JEL classification:

    • A14 - General Economics and Teaching - - General Economics - - - Sociology of Economics
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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