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Breeding Ones' Own Subprime Crisis

Author

Listed:
  • Tomasz Daras

    () (Faculty of Economic Sciences, University of Warsaw)

  • Joanna Tyrowicz

    () (Faculty of Economic Sciences, University of Warsaw)

Abstract

In this paper we take a simulation approach towards household budgets survey, analysing the impact of changes in labour market status of household members on the ability of this household to service the mortgage payments. Using the current status as benchmark, we performed simulations using stylised facts about labour market evolutions. Households with mortgage are characterised by higher activity rates and lower unemployment rates than demographically comparable households without a credit. While these are typical preconditions for the credit approval decision, this state of matters may not necessarily persist throughout the entire mortgage service period. Firstly, labour market conditions may worsen in general, comprising the credit takers together with the rest of the population. Alternatively, credit takers may undergo employment experience in the same way as other labour market participants. Consequently, we performed analyses along two scenarios: (i) households with mortgages will gradually become alike the demographically comparable group in terms of employment performance; and (ii) recognising the fact that debtor households members may exert potentially higher effort in maintaining labour market status we model the effects of general employment outlooks deterioration. We use labour force survey data to obtain the probabilities of changing the individual labour market status, while we resort to propensity score matching techniques to provide adequate benchmark for the changes among creditors with relation to general population. In the simulations we find the share of creditors losing liquidity with the change in the labour market status and the implied burden to the financial sector stability.

Suggested Citation

  • Tomasz Daras & Joanna Tyrowicz, 2009. "Breeding Ones' Own Subprime Crisis," Working Papers 2009-01, Faculty of Economic Sciences, University of Warsaw.
  • Handle: RePEc:war:wpaper:2009-01
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    File URL: http://www.wne.uw.edu.pl/inf/wyd/WP/WNE_WP11.pdf
    File Function: First version, 2009
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    References listed on IDEAS

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    1. Mortensen, Dale & Pissarides, Christopher, 2011. "Job Creation and Job Destruction in the Theory of Unemployment," Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 1, pages 1-19.
    2. Laurent E. Calvet & John Y. Campbell & Paolo Sodini, 2009. "Measuring the Financial Sophistication of Households," American Economic Review, American Economic Association, vol. 99(2), pages 393-398, May.
    3. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    4. Strawinski, Pawel, 2008. "What drives the Unemployment Rate in Poland," MPRA Paper 11372, University Library of Munich, Germany.
    5. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
    6. George T Simigiannis & Panagiota Tzamourani, 2007. "Greek household indebtedness and financial stress: results from household survey data," IFC Bulletins chapters,in: Bank for International Settlements (ed.), Proceedings of the IFC Conference on "Measuring the financial position of the household sector", Basel, 30-31 August 2006 - Volume 2, volume 26, pages 157-171 Bank for International Settlements.
    7. Blochlinger, Andreas & Leippold, Markus, 2006. "Economic benefit of powerful credit scoring," Journal of Banking & Finance, Elsevier, vol. 30(3), pages 851-873, March.
    8. Robert Shimer, 2008. "The Probability of Finding a Job," American Economic Review, American Economic Association, vol. 98(2), pages 268-273, May.
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    Citations

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    Cited by:

    1. Poghosyan, Tigran, 2011. "Slowdown of credit flows in Jordan in the wake of the global financial crisis: Supply or demand driven?," Economic Systems, Elsevier, vol. 35(4), pages 562-573.
    2. Ivana Herceg & Danijel Nestić, 2012. "A New Cluster-Based Financial Vulnerability Indicator: The Analytical Concept and its Application for Stress Testing in a Post-Socialist Economy," wiiw Balkan Observatory Working Papers 100, The Vienna Institute for International Economic Studies, wiiw.

    More about this item

    Keywords

    financial sector stability; mortgages; labour market;

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • R20 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - General

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