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Working Paper
Intergenerational Linkages in Household Credit
We document economically important correlations between children?s future credit outcomes and their parents? credit risk scores, default, and the extent of credit constraints ? intergenerational linkages in household credit. Using observations on siblings, we find that the linkages are due to unobserved household heterogeneity rather than parental credit conditions directly affecting children?s credit outcomes. In particular, in the sample of siblings, there is no correlation between parental and child credit attributes after controlling for household fixed effects. The linkages are stronger ...
Working Paper
Student Loans and Homeownership
We estimate the effect of student loan debt on subsequent homeownership in a uniquely constructed administrative dataset for a nationally representative cohort. We instrument for the amount of individual student debt using changes to the in-state tuition rate at public 4-year colleges in the student's home state. A $1,000 increase in student loan debt lowers the homeownership rate by about 1.5 percentage points for public 4-year college-goers during their mid 20s, equivalent to an average delay of 2.5 months in attaining homeownership. Validity tests suggest that the results are not ...
Working Paper
Rushing into American Dream? House Prices, Timing of Homeownership, and Adjustment of Consumer Credit
In this paper we use a large panel of individuals from Consumer Credit Panel dataset to study the timing of homeownership as a function of credit constraints and expectations of future house price. Our panel data allows us to track individuals over time and we model the transition probability of their first home purchase. We find that in MSAs with highest quartile house price growth, the median individual become homeowners earlier by 5 years in their lifecycle compared to MSAs with lowest quartile house price growth. The result suggests that the effect of expectation dominates the effect of ...
Working Paper
The Role of Learning for Asset Prices and Business Cycles
I examine the implications of learning-based asset pricing in a model in which firms face credit constraints that depend partly on their market value. Agents learn about stock prices, but have conditionally model-consistent expectations otherwise. The model jointly matches key asset price and business cycle statistics, while the combination of financial frictions and learning produces powerful feedback between asset prices and real activity, adding substantial amplification. The model reproduces many patterns of forecast error predictability in survey data that are inconsistent with rational ...