Skip to main content
Log in

Hard Times! How do Households Cope with Financial Difficulties? Evidence from the Swiss Household Panel

  • Published:
Social Indicators Research Aims and scope Submit manuscript

Abstract

This study investigates impact of debt arrears and various consequential compensatory actions on self-reported satisfaction with life and the financial situation. The link between financial difficulties and the responses they demand has rarely been translated into satisfaction measures in the past. This study informs the literature about actual consequences of problems with arrears and impact of different coping strategies on household satisfaction measures. To address the questions at hand, data from the six (2010–2015) waves of the Swiss Household Panel were examined. A panel data model with fixed effects estimator was applied to account for unobserved population heterogeneity and mitigate the issues of omitted variables. The study confirmed that severe debt problems disproportionally affected self-reported satisfaction measures. Responses to arrears, if representing likely long-term solutions, did not signify further deterioration in self-reported measures. However, if arrears required resort to bank credit, disposal of household valuables or borrowing from family and friends, satisfaction with the household financial situation and household head life satisfaction were likely to suffer more.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. Local and country level institutions, as well as policy for alleviation of the consequences of arrears are among the economic factors responsible for severity of arrears problems (Duygan-Bump and Grant 2009).

  2. Unsupportable debt occurs when financial resources within a household are not sufficient for regular servicing of instalments.

  3. The impact on real and financial assets can be very difficult to measure because, as demonstrated by Bridges and Disney (2004), if not liquidity constrained, households manage the problem of arrears by revolving their debts. Thus, before leading to bankruptcy, debts are more likely to exert the psychological pressure first.

  4. It is beyond the scope of the paper to analyse causal influence between specific responses to arrears and satisfaction measures as endogeneity in response to arrears could not easily be circumvented.

  5. Exact wording of the question is “Since (month, year) have you experienced problems which resulted in arrears in payments of your household bills”; the interviewer is obliged to insert the date preceding the interview by 12 months.

  6. Rhemtulla et al. (2012) argued that categorical variables with five or more categories could be used in this manner without negatively influencing results.

  7. This rise should be interpreted with caution as a refreshment sample was injected into the SHP in 2013. Due to the rapidly changing social and cultural composition of Swiss society it might have caused a level shift in some variables. Additionally, the refreshment sample was drawn from the Stichprobenrahmen für die Personen- und Haushaltserhebungen (SRPH), which implied sampling based on individuals rather than households.

  8. Gender and language spoken were reflected in pooled regression models; however, it was not possible to include them in the fixed effects panel regression model, being generally invariant in the longitudinal setting.

  9. Although in pooled OLS, number of years in education proved to be positively correlated with financial satisfaction (however not related with general life satisfaction of the household head), negative relation between satisfaction measures and years of education was an unexpected outcome of panel regressions. In the longitudinal setting with fixed effects panel regression model, it might indicate that additional years of education are associated with additional expenses and decreased amount of time available for other activities thus negatively affecting satisfaction. It might also be that people more likely to lose their jobs are also more likely to increase their time in education. Part of this effect might therefore be associated with job uncertainty (also potentially decreasing satisfaction) and thus captured by this variable. These explanations are, however, very speculative and should be investigated in more detail in future work.

  10. It is evident that impact of arrears on the financial and general situation satisfaction obtained from fixed effects model is less pronounced than in the OLS case. It shows that a set of household level characteristics responsible for both prevalence of arrears and the satisfaction assessments might exist beyond those presented. Some households with generally lower assessments might have been less likely to clear their accounts but it cannot be stated that inability to clear debts was responsible for decrease in satisfaction measures.

  11. Results for Italian speaking households, due to small sample size, were not included. Estimations for this group are available upon request.

References

  • Ainslie, G. (1991). Derivation of “rational” economic behavior from hyperbolic discount curves. The American Economic Review, 81(2), 332–340. Retrieved from http://www.jstor.org/stable/2006881.

  • Anderson, S., & Baland, J.-M. (2002). The economics of roscas and intrahousehold resource allocation. The Quarterly Journal of Economics, 117(3), 963–995. doi:10.1162/003355302760193931.

    Article  Google Scholar 

  • Baland, J.-M., Guirkinger, C., & Mali, C. (2011). Pretending to be poor: Borrowing to escape forced solidarity in Cameroon. Economic Development and Cultural Change, 60(1), 1–16. doi:10.1086/661220.

    Article  Google Scholar 

  • Betti, G., Dourmashkin, N., Rossi, M., Verma, V., & Yin, Y. (2001). Study of the problem of consumer indebtedness: Statistical aspects final report. London: ORC Macro.

    Google Scholar 

  • Białowolski, P., & Węziak-Białowolska, D. (2014). The Index of household financial condition, combining subjective and objective indicators: An appraisal of Italian households. Social Indicators Research, 118(1), 365–385. doi:10.1007/s11205-013-0401-0.

    Article  Google Scholar 

  • Binder, M., & Coad, A. (2015). Heterogeneity in the Relationship between unemployment and subjective wellbeing: A quantile approach. Economica, 82, 865–891. doi:10.1111/ecca.12150.

    Article  Google Scholar 

  • Bolton, L. E., Bloom, P. N., & Cohen, J. B. (2011). Using loan plus lender literacy information to combat one-sided marketing of debt consolidation loans. Journal of Marketing Research, 48(SPL), S51–S59.

    Article  Google Scholar 

  • Breusch, T. S., & Pagan, R. (1979). A simple test for heteroscedasticity and random coefficient variation. Econometrica, 47(5), 1287–1294. doi:10.2307/1911963.

    Article  Google Scholar 

  • Bridges, S., & Disney, R. (2004). Use of credit and arrears on debt among low-income families in the United Kingdom. Fiscal Studies, 25(1), 1–25. doi:10.1111/j.1475-5890.2004.tb00094.x.

    Article  Google Scholar 

  • Bridges, S., & Disney, R. (2010). Debt and depression. Journal of Health Economics, 29(3), 388–403. doi:10.1016/j.jhealeco.2010.02.003.

    Article  Google Scholar 

  • Brown, S., Taylor, K., & Wheatley Price, S. (2005). Debt and distress: Evaluating the psychological cost of credit. Journal of Economic Psychology, 26(5), 642–663. doi:10.1016/j.joep.2005.01.002.

    Article  Google Scholar 

  • Burgard, S. A., Seefeldt, K. S., & Zelner, S. (2012). Housing instability and health: Findings from the Michigan recession and recovery study. Social Science and Medicine, 75(12), 2215–2224. doi:10.1016/j.socscimed.2012.08.020.

    Article  Google Scholar 

  • Calvet, L. E., Campbell, J. Y., & Sodini, P. (2009). Measuring the financial sophistication of households. The American Economic Review, 99(2), 393–398. Retrieved from http://www.jstor.org/stable/25592430.

  • Christen, M., & Morgan, R. M. (2005). Keeping up with the Joneses: Analyzing the effect of income inequality on consumer borrowing. Quantitative Marketing and Economics, 3(2), 145–173. doi:10.1007/s11129-005-0351-1.

    Article  Google Scholar 

  • Dhar, R., & Zhu, N. (2006). Up close and personal: Investor sophistication and the disposition effect. Management Science, 52(5), 726–740. doi:10.1287/mnsc.1040.0473.

    Article  Google Scholar 

  • Duygan-Bump, B., & Grant, C. (2009). Household debt repayment behaviour: What role do institutions play? Economic Policy, 24(57), 107–140. doi:10.1111/j.1468-0327.2009.00215.x.

    Article  Google Scholar 

  • Estelami, H. (2014). An ethnographic study of consumer financial sophistication. Journal of Consumer Behaviour, 13, 328–341. doi:10.1002/cb.1472.

    Article  Google Scholar 

  • Eugster, B., Lalive, R., Steinhauer, A., & Zweimüller, J. (2017). Culture, work attitudes and job search: Evidence from the Swiss Language Border. Journal of the European Economic Association. doi:10.1093/jeea/jvw024.

    Google Scholar 

  • Frey, B. S., & Stutzer, A. (2002). What can economists learn from happiness research? Journal of Economic Literature, 40(2), 402–435. Retrieved from http://www.jstor.org/stable/2698383.

  • Friedman, M. (1957). A theory of the consumption function. Princeton, NJ: Princeton University Press.

    Google Scholar 

  • Frijters, P., Haisken-DeNew, J. P., & Shields, M. A. (2004). Money does matter! evidence from increasing real income and life satisfaction in East Germany following reunification. American Economic Review, 94(3), 730–741. doi:10.1257/0002828041464551.

    Article  Google Scholar 

  • Guin, B. (2015). Culture and household saving. In Fourth conference on household finance and consumption. Retrieved from https://www.ecb.europa.eu/pub/conferences/shared/pdf/20151217_4th_conference_hfcs/Session1_Guin.pdf.

  • Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251–1271.

    Article  Google Scholar 

  • Jappelli, T., Pagano, M., & Di Maggio, M. (2008). Households’ indebtedness and financial fragility. Journal of Financial Management Markets and Institutions, 1(1), 23–46.

    Google Scholar 

  • Jentzsch, N., & Riestra, A. S. J. (2006). Consumer credit markets in the United States and Europe. In G. Bertola, R. Disney, & C. Grant (Eds.), The economics of consumer credit (pp. 27–63). Cambridge, Massachusetts: The MIT Press.

    Google Scholar 

  • Kahneman, D., Knetsch, J. L., & Thaler, R. H. (1991). Anomalies: The endowment effect, loss aversion, and status quo bias. Journal of Economic Perspectives, 5(1), 193–206. doi:10.1257/jep.5.1.193.

    Article  Google Scholar 

  • Kassenboehmer, S. C., & Haisken-DeNew, J. P. (2009). You’re fired! The causal negative effect of entry unemployment on life satisfaction. The Economic Journal, 119, 448–462. doi:10.1111/j.1468-0297.2008.02246.x.

    Article  Google Scholar 

  • Kempson, E., Mckay, S., & Willitts, M. (2004). Characteristics of families in debt and the nature of indebtedness. Leeds: Department for Work and Pensions under licence from the Controller of Her Majesty’s Stationery Office by Corporate Document Services.

  • Laibson, D. (1997). Golden eggs and hyperbolic discounting. The Quarterly Journal of Economics, 112(2), 443–477.

    Article  Google Scholar 

  • Loewenstein, G., & Thaler, R. H. (1989). Anomalies: intertemporal choice. Journal of Economic Perspectives, 3(4), 181–193. doi:10.1257/jep.3.4.181.

    Article  Google Scholar 

  • Mckenzie, D. J. (2003). How do households cope with aggregate shocks? Evidence from the Mexican Peso Crisis. World Development, 31(7), 1179–1199. doi:10.1016/S0305-750X(03)00064-0.

    Article  Google Scholar 

  • Modigliani, F., & Brumberg, R. (1954). Utility analysis and the consumption function: An interpretation of the cross-section data. In K. Kurihara (Ed.), Post-keynesion economics. New Brunswick: Rutgers University Press.

    Google Scholar 

  • Neto, F. (1993). The satisfaction with life scale: Psychometrics properties in an adolescent sample. Journal of Youth and Adolescence, 22(2), 125–134. Retrieved from http://link.springer.com/article/10.1007/BF01536648.

  • Nettleton, S., & Burrows, R. (1998). Mortgage debt, insecure home ownership and health: An exploratory analysis. Sociology of Health & Illness, 20(5), 731–753. doi:10.1111/1467-9566.00127.

    Article  Google Scholar 

  • Nettleton, S., & Burrows, R. (2001). Families coping with the experience of mortgage repossession in the “new landscape of precariousness”. Community, Work & Family, 4(3), 253–272. doi:10.1080/0140511012008933.

    Article  Google Scholar 

  • Oswald, A. J. (1997). Happiness and economic performance. The Economic Journal, 107(445), 1815–1831. Retrieved from http://www.jstor.org/stable/2957911.

  • Rhemtulla, M., Brosseau-Liard, P. É., & Savalei, V. (2012). When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions. Psychological Methods, 17(3), 354–373. doi:10.1037/a0029315.

    Article  Google Scholar 

  • Selenko, E., & Batinic, B. (2011). Beyond debt. A moderator analysis of the relationship between perceived financial strain and mental health. Social Science and Medicine, 73(12), 1725–1732. doi:10.1016/j.socscimed.2011.09.022.

    Article  Google Scholar 

  • Sen, A. (1990). Gender and cooperative conflicts. In I. Tinker (Ed.), Persistent inequalities: women and world development (pp. 123–149). Oxford: Oxford University Press.

    Google Scholar 

  • Sweet, E., Nandi, A., Adam, E. K., & McDade, T. W. (2013). The high price of debt: Household financial debt and its impact on mental and physical health. Social Science and Medicine, 91, 94–100. doi:10.1016/j.socscimed.2013.05.009.

    Article  Google Scholar 

  • Thaler, R. H. (1990). Saving, fungibility, and mental accounts. Journal of Economic Perspectives, 4(1), 193–205.

    Article  Google Scholar 

  • Thaler, R. H. (1999). Mental accounting matters. Journal of Behavioral Decision Making, 12(3), 183–206. doi:10.1002/(SICI)1099-0771(199909)12:3<183:AID-BDM318>3.0.CO;2-F.

    Article  Google Scholar 

  • Thaler, R. H. (2008). Mental accounting and consumer choice. Marketing Science, 27(1), 15–25. doi:10.1287/mksc.1070.0330.

    Article  Google Scholar 

  • Thaler, R. H., & Benartzi, S. (2004). Save more tomorrow™: Using behavioral economics to increase employee saving. Journal of Political Economy, 112(S1), S164–S187. doi:10.1086/380085.

    Article  Google Scholar 

  • Thaler, R. H., & Sunstein, C. R. (2003). Libertarian paternalism. The American Economic Review, 93(2), 175–179. Retrieved from http://www.jstor.org/stable/3132220.

  • Thaler, R. H., Tversky, A., Kahneman, D., & Schwartz, A. (1997). The effect of myopia and loss aversion on risk taking: An experimental test. The Quarterly Journal of Economics, 112(2), 647–661. doi:10.1080/02724980343000242.

    Article  Google Scholar 

  • Voorpostel, M., Tillmann, R., Lebert, F., Kuhn, U., Lipps, O., Ryser, V.-A., et al. (2014). Swiss household panel userguide (2009–2013), Wave 15, December 2014. Laisanne: FORS.

    Google Scholar 

  • Waldron, R., & Redmond, D. (2017). “We’re just existing, not living!” Mortgage stress and the concealed costs of coping with crisis. Housing Studies. doi:10.1080/02673037.2016.1224323.

    Google Scholar 

  • Walker, C. M. (1996). Financial management, coping and debt in households under financial strain. Journal of Economic Psychology, 17(6), 789–807. doi:10.1016/S0167-4870(96)00036-0.

    Article  Google Scholar 

  • Whitfield, G., & Dearden, C. (2011). Low Income Households: Casualties of the boom, casualties of the bust? Social Policy & Society, 11(1), 81–91. doi:10.1017/S1474746411000431.

    Article  Google Scholar 

  • Wooldridge, J. M. (2002). Econometric analysis of cross section and panel data (second). Cambridge, Massachusetts; London, England: The MIT Press. http://doi.org/10.1515/humr.2003.021.

  • Worthington, A. C. (2006). Debt as a source of financial stress in Australian households. International Journal of Consumer Studies, 30(1), 2–15. doi:10.1111/j.1470-6431.2005.00420.x.

    Article  Google Scholar 

Download references

Acknowledgements

The work was financed within the 7th Framework Programme [FP7-PEOPLE COFUND No. 609402 –“2020 Researchers: Train 2 Move” (T2 M)]. Author would like to thank two anonymous reviewers and Patrick Fox for their very helpful comments. This study has been realized using the data collected by the Swiss Household Panel (SHP), which is based at the Swiss Centre of Expertise in the Social Sciences FORS. The SHP project is financed by the Swiss National Science Foundation.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Piotr Białowolski.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Białowolski, P. Hard Times! How do Households Cope with Financial Difficulties? Evidence from the Swiss Household Panel. Soc Indic Res 139, 147–161 (2018). https://doi.org/10.1007/s11205-017-1711-4

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11205-017-1711-4

Keywords

Navigation