Bank of Lithuania
Topic
Target group
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All results 4
No 78
2020-08-21

Bowling Alone, Buying Alone: The Decline of Co-Borrowers in the US Mortgage Market

  • Abstract

    Using the universe of mortgage applications data and detailed credit performance data, we document that since the early 1990s there was a significant decline in the share of mortgages with co-borrowers. Although the decline was an almost universal phenomenon across different regions of the US, the rate of the decline showed significant spatial heterogeneity and in turn had implications for regional differences in economic activity. We show that the presence of a co-borrower reduces the mortgage default probability by more than 50 percent for both prime and subprime loans and those regions that had a lower co-borrower share prior to the crisis experienced higher mortgage default rates over the period 2007-2010. Higher default rates created spillovers on economic activity during the Great Recession: a lower co-borrower share at the regional level was also related to persistently lower house price growth, refinancing growth and mortgage credit growth. These results imply that the decrease in the share of mortgages with co-borrowers made the US mortgage market more vulnerable to the financial crisis and contributed to the divergence in economic outcomes across different regions.

    JEL Codes: G21, G51, R21. 

    The views expressed are those of the author(s) and do not necessarily represent those of the Bank of Lithuania.

No 69
2019-12-13

Mortgage foreclosure risk after the Great Recession

  • Abstract

    The objective of increased regulation of mortgage origination activities after the Great Recession was to prevent another foreclosure crisis in the future. However, the literature is not conclusive about the actual effect of these policy changes. By using the 2007-09 panel and subsequent waves of the Survey of Consumer Finances (SCF), we predict foreclosure risk based on individual borrower characteristics. We show that the median mortgage foreclosure probability kept decreasing after 2010, but in 2016 it was still higher relative to the year 2007. The median foreclosure probability has remained high among both non-bank borrowers and bank borrowers. The regulatory changes started in 2010, so we also compare predicted foreclosure probabilities to the levels in 2010 and find that, despite the fact that banks were affected by this regulation more than non-banks, predicted foreclosure probabilities for bank mortgages declined slower than for non-bank mortgages. Our findings offer support for a thorough analysis of the regulatory effects because they might have been weaker than expected or worked in an unexpected way.

    JEL Codes: C53, G21, G23.

    The views expressed are those of the author(s) and do not necessarily represent those of the Bank of Lithuania.

No 55
2018-12-21

How much do households really know about their future income?

  • Abstract

    We develop a consumption-savings model that distinguishes households’ perceived income uncertainty from income uncertainty as measured by an econometrician. Households receive signals on their future disposable income that can drive a gap between the two uncertainties. With an uncertainty gap that is consistent with direct estimates stemming from subjective income expectations, the model jointly explains three consumption inequality and insurance measures in US micro data that are not captured without the difference: (i) the cross-sectional variance of households’ consumption, (ii) the covariance of current consumption and income growth and (iii) the income-conditional mean of household consumption.

    JEL Codes: E21, D31, D52.

    The views expressed are those of the author(s) and do not necessarily represent those of the Bank of Lithuania. 

No 54
2018-11-30

Public insurance of married versus single households in the US: trends and welfare consequences

  • Abstract

    Using the March Current Population Survey, I show that over the last two decades, married households in the United States received increasingly more public insurance against labor income risk, whereas the opposite was true for single households. To evaluate the welfare consequences of this trend, I perform a quantitative analysis. As a novel contribution, I expand the standard incomplete markets model à la Aiyagari (1994) to include two groups of households: married and single. The model allows for changes in the marital status of households and accounts for transition dynamics between steady states. I show that the divergent trends in public insurance have a significant detrimental effect on the welfare of both married and single households.

    JEL Codes: D52, D60, E21, E62, H31.

    The views expressed are those of the author(s) and do not necessarily represent those of the Bank of Lithuania.