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Private monetary transfers between households: Who is helped and by whom?

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  • Zanin, Luca

Abstract

We propose using a system of three equations with binary responses to explore the determinants of a household receiving a private monetary transfer from three different types of informal lenders in Italy. First, we observe that a semi-parametric specification of the system of equations is preferred to a fully parametric modelling approach. Second, we detect the existence of an error correlation structure that characterises the dependence of informal lenders after accounting for a number of observable covariates. Third, we find that the network of close family relationships (parents or adult children) represents the main source of an informal transfer, especially for households in debt to financial intermediaries or who are in arrears with payments and whose household head is unemployed or in poor health. Finally, we propose estimating the entity of monetary transfer in terms of expected value using a simulation that combines the joint response probabilities obtained from the system of equations with the empirical distribution of monetary transfers.

Suggested Citation

  • Zanin, Luca, 2018. "Private monetary transfers between households: Who is helped and by whom?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 17(C), pages 76-82.
  • Handle: RePEc:eee:beexfi:v:17:y:2018:i:c:p:76-82
    DOI: 10.1016/j.jbef.2017.12.010
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    1. Aldieri, Luigi & Fiorillo, Damiano, 2015. "Private monetary transfers and altruism: An empirical investigation on Italian families," Economic Analysis and Policy, Elsevier, vol. 46(C), pages 1-15.
    2. Chao Tian & Roberto Quercia & Sarah Riley, 2016. "Unemployment as an Adverse Trigger Event for Mortgage Default," The Journal of Real Estate Finance and Economics, Springer, vol. 52(1), pages 28-49, January.
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    5. Luca Zanin, 2016. "On Italian Households’ Economic Inadequacy Using Quali-Quantitative Measures," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(1), pages 59-88, August.
    6. Zanin, Luca, 2017. "Determinants of the conditional probability that a household has informal loans given liquidity constraints regarding access to credit banking channels," Journal of Behavioral and Experimental Finance, Elsevier, vol. 13(C), pages 16-24.
    7. Matuszyk, Anna & So, Mee Chi & Mues, Christophe & Moore, Angela, 2016. "Modelling repayment patterns in the collections process for unsecured consumer debt: A case studyAuthor-Name: Thomas, Lyn C," European Journal of Operational Research, Elsevier, vol. 249(2), pages 476-486.
    8. Michele Benvenuti & Luca Casolaro & Emanuele Ciani, 2017. "Informal loans, liquidity constraints and local credit supply: evidence from Italy," Temi di discussione (Economic working papers) 1099, Bank of Italy, Economic Research and International Relations Area.
    9. Brent Berry, 2008. "Financial Transfers from Living Parents to Adult Children: Who Is Helped and Why?," American Journal of Economics and Sociology, Wiley Blackwell, vol. 67(2), pages 207-239, April.
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    Cited by:

    1. Chiara Mussida & Luca Zanin, 2020. "Determinants of the Choice of Job Search Channels by the Unemployed Using a Multivariate Probit Model," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(1), pages 369-420, November.
    2. Mussida Chiara & Zanin Luca, 2019. "Voluntary Mobility of Employees for Better Job Opportunities Given a Temporary Contract: Insights Regarding an Age-Varying Association Between the Two Events," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 19(2), pages 1-27, April.
    3. Jiang, Cuixia & Xu, Qifa & Zhang, Weiming & Li, Mengting & Yang, Shanlin, 2018. "Does automatic bidding mechanism affect herding behavior? Evidence from online P2P lending in China," Journal of Behavioral and Experimental Finance, Elsevier, vol. 20(C), pages 39-44.

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    More about this item

    Keywords

    Expected value; Informal lenders; Loan or monetary gift; System of three equations with binary responses;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • E26 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Informal Economy; Underground Economy

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