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Stress Testing the Private Household Sector Using Microdata

Author

Listed:
  • Kamil Galuscak
  • Petr Hlavac
  • Petr Jakubik

Abstract

We develop a methodology for identifying financially distressed households and use it for testing the responses to shocks to the unemployment rate, the interest rate and prices of essential expenditure in the Czech Republic. We extend the approach of Johansson and Persson (2006) for Sweden and Albacete and Fessler (2010) for Austria to allow for full labour market transitions between employment and unemployment, and, due to data availability, to account for heads and spouses within households. This improvement may lead to a higher response of household distress incidence due to the unemployment rate shock than in both Sweden and Austria, while the effects due to the interest rate shock are of similar size as in Austria. We illustrate the use of our approach for stress testing households' ability to pay their debts using macroeconomic scenarios from the CNB's official forecast and from the CNB's Financial Stability Report. The results highlight the importance of using micro-level datasets in the analysis of household distress incidence, as the impact of shocks is more pronounced among lower-income households.

Suggested Citation

  • Kamil Galuscak & Petr Hlavac & Petr Jakubik, 2014. "Stress Testing the Private Household Sector Using Microdata," Working Papers 2014/02, Czech National Bank, Research and Statistics Department.
  • Handle: RePEc:cnb:wpaper:2014/02
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    File URL: https://www.cnb.cz/export/sites/cnb/en/economic-research/.galleries/research_publications/cnb_wp/cnbwp_2014_02.pdf
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    References listed on IDEAS

    as
    1. Petr Hlavac & Petr Jakubik & Kamil Galuscak, 2013. "Household stress tests using microdata," Occasional Publications - Chapters in Edited Volumes, in: CNB Financial Stability Report 2012/2013, chapter 0, pages 113-119, Czech National Bank, Research and Statistics Department.
    2. Herrala, Risto & Kauko, Karlo, 2007. "Household loan loss risk in Finland: estimations and simulations with micro data," Bank of Finland Research Discussion Papers 5/2007, Bank of Finland.
    3. Gábor Kátay & Péter Benczúr & Áron Kiss & Olivér M. Rácz, 2014. "Income Taxation, Transfers and Labour Supply at the Extensive Margin," EcoMod2014 6925, EcoMod.
    4. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    5. repec:zbw:bofrdp:2007_005 is not listed on IDEAS
    6. Nathalie Girouard & Mike Kennedy & Christophe André, 2006. "Has the Rise in Debt Made Households More Vulnerable?," OECD Economics Department Working Papers 535, OECD Publishing.
    7. Douglas Sutherland & Peter Hoeller, 2012. "Debt and Macroeconomic Stability: An Overview of the Literature and Some Empirics," OECD Economics Department Working Papers 1006, OECD Publishing.
    8. Kamil Galuscak & Jan Pavel, 2012. "Taxes and Benefits: Work Incentive Effects of Policies," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 62(1), pages 27-43, February.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Ampudia, Miguel & Pavlickova, Akmaral & Slacalek, Jiri & Vogel, Edgar, 2016. "Household heterogeneity in the euro area since the onset of the Great Recession," Journal of Policy Modeling, Elsevier, vol. 38(1), pages 181-197.
    2. Gan-Ochir Doojav & Ariun-Erdene Bayarjargal, 2017. "Stress testing the household sector in Mongolia," Asia-Pacific Development Journal, United Nations Economic and Social Commission for Asia and the Pacific (ESCAP), vol. 24(2), pages 23-52, December.
    3. Lydon, Reamonn & McIndoe-Calder, Tara, 2017. "The Great Irish (De)Leveraging 2005-14," Research Technical Papers 05/RT/17, Central Bank of Ireland.
    4. Beata Bierut, & Tomasz Chmielewski & Adam Głogowski, & Sławomir Zajączkowski & Andrzej Stopczyński, 2015. "Implementing Loan-To-Value and Debt-To-Income ratios: Learning from country experiences. The case of Poland," NBP Working Papers 212, Narodowy Bank Polski.
    5. Simona Malovaná & Michal Hlavácek & Kamil Galušcák, 2017. "Stress testing the Czech household sector using microdata - practical applications in the policy-making process," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Data needs and Statistics compilation for macroprudential analysis, volume 46, Bank for International Settlements.

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    More about this item

    Keywords

    Ability to pay; financial surplus; household indebtedness; microdata; stress testing;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications

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