IDEAS home Printed from https://ideas.repec.org/a/eee/jbfina/v37y2013i9p3425-3434.html
   My bibliography  Save this article

Persistency of financial distress amongst Italian households: Evidence from dynamic models for binary panel data

Author

Listed:
  • Giarda, Elena

Abstract

This paper builds on existing studies on households’ financial distress and provides new evidence on the determinants of financial hardship in Italy and its persistence over time. It suggests a quantitative definition of financial distress based on the distribution of net wealth, and tests whether the probability of experiencing financial difficulty is persistent over time, using (random and fixed effects) dynamic models for binary panel data. The analysis exploits the longitudinal component of the Bank of Italy Survey on Household Income and Wealth for the period 1998–2006. Its results show that, after accounting for unobserved heterogeneity, past values of the outcome variable play a large part in explaining the probability of experiencing financial distress. In addition, the probability of financial vulnerability decreases with income and greater sophistication of the household portfolio and, at least in one of the model specifications, increases in areas with higher unemployment rates.

Suggested Citation

  • Giarda, Elena, 2013. "Persistency of financial distress amongst Italian households: Evidence from dynamic models for binary panel data," Journal of Banking & Finance, Elsevier, vol. 37(9), pages 3425-3434.
    • Handle: RePEc:eee:jbfina:v:37:y:2013:i:9:p:3425-3434
    DOI: 10.1016/j.jbankfin.2013.05.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378426613002239
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jbankfin.2013.05.005?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Florian Heiss, 2008. "Sequential numerical integration in nonlinear state space models for microeconometric panel data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(3), pages 373-389.
    2. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54, January.
    3. Chamberlain, Gary, 1984. "Panel data," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 22, pages 1247-1318, Elsevier.
    4. Bertocchi, Graziella & Brunetti, Marianna & Torricelli, Costanza, 2011. "Marriage and other risky assets: A portfolio approach," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2902-2915, November.
    5. Andrea Brandolini & Silvia Magri & Timothy M. Smeeding, 2010. "Asset-based measurement of poverty," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 29(2), pages 267-284.
    6. Tito Boeri & Andrea Brandolini, 2004. "The Age of Discontent: Italian Households at the Beginning of the Decade," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 63(3-4), pages 449-487, December.
    7. John Whitley & Richard Windram & Prudence Cox, 2004. "An empirical model of household arrears," Bank of England working papers 214, Bank of England.
    8. Ivan Faiella, 2008. "Accounting for sampling design in the SHIW," Temi di discussione (Economic working papers) 662, Bank of Italy, Economic Research and International Relations Area.
    9. Georgarakos, Dimitris & Lojschova, Adriana & Ward-Warmedinger, Melanie E., 2009. "Mortgage Indebtedness and Household Financial Distress," IZA Discussion Papers 4631, Institute of Labor Economics (IZA).
    10. Arulampalam, Wiji & Booth, Alison L & Taylor, Mark P, 2000. "Unemployment Persistence," Oxford Economic Papers, Oxford University Press, vol. 52(1), pages 24-50, January.
    11. Mark Stewart, 2006. "Maximum simulated likelihood estimation of random-effects dynamic probit models with autocorrelated errors," Stata Journal, StataCorp LP, vol. 6(2), pages 256-272, June.
    12. Rosen, Sherwin, 2007. "Studies in Labor Markets," National Bureau of Economic Research Books, University of Chicago Press, number 9780226726304, December.
    13. Cox, Donald & Jappelli, Tullio, 1993. "The Effect of Borrowing Constraints on Consumer Liabilities," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 25(2), pages 197-213, May.
    14. Wiji Arulampalam & Mark B. Stewart, 2009. "Simplified Implementation of the Heckman Estimator of the Dynamic Probit Model and a Comparison with Alternative Estimators," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(5), pages 659-681, October.
    15. Ana del Rio & Garry Young, 2008. "The impact of unsecured debt on financial pressure among British households," Applied Financial Economics, Taylor & Francis Journals, vol. 18(15), pages 1209-1220.
    16. Orla May & Merxe Tudela, 2005. "When is mortgage indebtedness a financial burden to British households? A dynamic probit approach," Bank of England working papers 277, Bank of England.
    17. Boheim, Rene & Taylor, Mark P., 2000. "My Home Was My Castle: Evictions and Repossessions in Britain," Journal of Housing Economics, Elsevier, vol. 9(4), pages 287-319, December.
    18. Ando,Albert & Guiso,Luigi & Visco,Ignazio (ed.), 1994. "Saving and the Accumulation of Wealth," Cambridge Books, Cambridge University Press, number 9780521452083.
    19. Stephen Pudney, 2008. "The dynamics of perception: modelling subjective wellbeing in a short panel," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(1), pages 21-40, January.
    20. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    21. Sarah Brown & Karl Taylor, 2008. "Household debt and financial assets: evidence from Germany, Great Britain and the USA," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(3), pages 615-643, June.
    22. Salvatore Muzzicato & Roberto Sabbatini & Francesco Zollino, 2008. "Prices of residential property in Italy: constructing a new indicator," Questioni di Economia e Finanza (Occasional Papers) 17, Bank of Italy, Economic Research and International Relations Area.
    23. Akay, Alpaslan, 2009. "The Wooldridge Method for the Initial Values Problem Is Simple: What About Performance?," IZA Discussion Papers 3943, Institute of Labor Economics (IZA).
    24. Bo E. Honoré & Ekaterini Kyriazidou, 2000. "Panel Data Discrete Choice Models with Lagged Dependent Variables," Econometrica, Econometric Society, vol. 68(4), pages 839-874, July.
    25. James J. Heckman, 1981. "Heterogeneity and State Dependence," NBER Chapters, in: Studies in Labor Markets, pages 91-140, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chichaibelu, Bezawit Beyene & Waibel, Hermann, 2017. "Borrowing from “Pui” to Pay “Pom”: Multiple Borrowing and Over-Indebtedness in Rural Thailand," World Development, Elsevier, vol. 98(C), pages 338-350.
    2. Cuesta, Maite Blázquez & Budría, Santiago, 2017. "Unemployment persistence: How important are non-cognitive skills?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 69(C), pages 29-37.
    3. Marco Brandolini & Federica Coroneo & Elena Giarda & Cristiana Moriconi & Sarah Grace See, 2022. "Differences in Perceptions of the Housing Cost Burden Among European Countries," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 12(4), pages 1-5.
    4. Chichaibelu, Bezawit Beyene & Waibel, Hermann, 2018. "Over-indebtedness and its persistence in rural households in Thailand and Vietnam," Journal of Asian Economics, Elsevier, vol. 56(C), pages 1-23.
    5. Schnitzlein, Daniel D. & Stephani, Jens, 2016. "Locus of Control and low-wage mobility," Journal of Economic Psychology, Elsevier, vol. 53(C), pages 164-177.
    6. Wiji Arulampalam & Mark B. Stewart, 2009. "Simplified Implementation of the Heckman Estimator of the Dynamic Probit Model and a Comparison with Alternative Estimators," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(5), pages 659-681, October.
    7. Chrostek, Pawel, 2013. "An empirical investigation into the determinants and persistence of different types of subjective well-being," MPRA Paper 48292, University Library of Munich, Germany.
    8. Ken Clark & Nikolaos C. Kanellopoulos, 2009. "Low Pay Persistence in European Countries," SOEPpapers on Multidisciplinary Panel Data Research 207, DIW Berlin, The German Socio-Economic Panel (SOEP).
    9. Chrostek, Pawel, 2013. "An empirical investigation into the determinants and persistence of happiness and life evaluation," MPRA Paper 50442, University Library of Munich, Germany.
    10. Clark, Ken & Kanellopoulos, Nikolaos C., 2013. "Low pay persistence in Europe," Labour Economics, Elsevier, vol. 23(C), pages 122-134.
    11. Lionel WILNER, 2019. "The Dynamics of Individual Happiness," Working Papers 2019-18, Center for Research in Economics and Statistics.
    12. Akay, Alpaslan, 2009. "Dynamics of the Employment Assimilation of First-Generation Immigrant Men in Sweden: Comparing Dynamic and Static Assimilation Models with Longitudinal Data," IZA Discussion Papers 4655, Institute of Labor Economics (IZA).
    13. Mavromaras, Kostas & McGuinness, Seamus, 2012. "Overskilling dynamics and education pathways," Economics of Education Review, Elsevier, vol. 31(5), pages 619-628.
    14. Lucchetti, Riccardo & Pigini, Claudia, 2017. "DPB: Dynamic Panel Binary Data Models in gretl," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i08).
    15. Chrysanthou, Georgios Marios & Guilló, María Dolores, 2018. "The dynamics of political party support and egocentric economic evaluations: The Scottish case," European Journal of Political Economy, Elsevier, vol. 52(C), pages 192-213.
    16. Manudeep Bhuller & Christian N. Brinch & Sebastian Königs, 2017. "Time Aggregation and State Dependence in Welfare Receipt," Economic Journal, Royal Economic Society, vol. 127(604), pages 1833-1873, September.
    17. Ayllón, Sara, 2009. "Modelling state dependence and feedback effects between poverty, employment and parental home emancipation among European youth," Working Papers 10, VATT Institute for Economic Research.
    18. Raffaele Brancati & Emanuela Marrocu & Manuel Romagnoli & Stefano Usai, 2018. "Innovation activities and learning processes in the crisis: evidence from Italian export in manufacturing and services," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(1), pages 107-130.
    19. Nisar Ahmad, 2014. "State Dependence in Unemployment," International Journal of Economics and Financial Issues, Econjournals, vol. 4(1), pages 93-106.
    20. Carlos Gradín & Olga Cantó, 2009. "Why are child poverty rates so persistently high in Spain?," Working Papers 123, ECINEQ, Society for the Study of Economic Inequality.

    More about this item

    Keywords

    Household financial distress; Net wealth; Dynamic models for binary panel data; SHIW;
    All these keywords.

    JEL classification:

    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jbfina:v:37:y:2013:i:9:p:3425-3434. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbf .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.