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I analyze the inter vivo transfers and bequest decisions of 700,000 individuals during a period when the decision maker receives negative news regarding their life expectancy. The event that initiates the news is a health outcome. Expected mortality increases both the likelihood of transferring wealth to the next generation and the amount transferred. The size of the inter vivo transfer and bequest are positively related to the wealth of the parent and the severity of the diagnosis, regardless of diagnosis-specific demand for informal care. Using a structural life cycle model, I estimate the bequest parameters that are consistent with the causal effect estimates. Authors have furnished an Internet Appendix , which is available on the Oxford University Press Web site next to the link to the final published paper online. [ABSTRACT FROM AUTHOR]

We estimate the willingness-to-pay to bypass a loan-to-value (LTV) cap. Our identification relies on exogenous variation in debt exempt from the LTV regulation that can only be used as a substitute for a personal mortgage. Our baseline estimate reveals that homebuyers pay 7.3 Swedish Kroner (SEK) to avoid 1 SEK of equity down payment. The supply of debt not part of the LTV calculation increased by approximately 50% within 2 years after the LTV regulation. Financially weaker households drive the results. [ABSTRACT FROM AUTHOR]

We examine the personal investment decisions of 60,000 households following a cancer diagnosis. To create a control group that minimizes the likelihood that the results are confounded by lifestyle factors, we rely on households diagnosed with the same diagnosis but a few years later. Our estimates show that a cancer diagnosis reduces households' willingness to take risks with their financial wealth. We use the vast heterogeneity among cancers regarding its impact on life expectancy (LE) and income to analyze through which channels cancer impact risk-taking. We find that cancers that have a greater impact on LE and income cause a larger reduction in risk-taking. These two channels account for about 40–90% of the estimated effects of cancer on personal investment decisions. We do not find any association between having dealt with cancer many years ago and current portfolio choices. [ABSTRACT FROM AUTHOR]