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Household debt and financial assets: evidence from Germany, Great Britain and the USA

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  • Sarah Brown
  • Karl Taylor

Abstract

Summary. We explore the determinants of debt, financial assets and net worth at the household level by using survey data for Germany, Great Britain and the USA. To identify which households are potentially vulnerable to adverse changes in the economic environment, we also explore the determinants of a range of measures of financial pressure: the probability that a household has negative net worth; the debt‐to‐income ratio; mortgage income gearing; the saving‐to‐income ratio. Our empirical findings suggest that the poorest and the youngest households are the most vulnerable to adverse changes in their financial circumstances.

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  • 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.
  • Handle: RePEc:bla:jorssa:v:171:y:2008:i:3:p:615-643
    DOI: 10.1111/j.1467-985X.2007.00531.x
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    References listed on IDEAS

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    1. Reint Gropp & John Karl Scholz & Michelle J. White, 1997. "Personal Bankruptcy and Credit Supply and Demand," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(1), pages 217-251.
    2. Sarah Brown & Gaia Garino & Karl Taylor & Stephen Wheatley Price, 2005. "Debt and Financial Expectations: An Individual- and Household-Level Analysis," Economic Inquiry, Western Economic Association International, vol. 43(1), pages 100-120, January.
    3. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    4. Luigi Guiso & Michael Haliassos & Tullio Jappelli, 2003. "Household stockholding in Europe: where do we stand and where do we go? [‘Limited market participation and volatility of assets prices’]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 18(36), pages 123-170.
    5. Greene, William, 1999. "Marginal effects in the censored regression model," Economics Letters, Elsevier, vol. 64(1), pages 43-49, July.
    6. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    7. Powell, James L., 1984. "Least absolute deviations estimation for the censored regression model," Journal of Econometrics, Elsevier, vol. 25(3), pages 303-325, July.
    8. Buchinsky, Moshe, 1994. "Changes in the U.S. Wage Structure 1963-1987: Application of Quantile Regression," Econometrica, Econometric Society, vol. 62(2), pages 405-458, March.
    9. Luigi Guiso & Michael Haliassos & Tullio Jappelli (ed.), 2003. "Stockholding in Europe," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-50267-3, May.
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