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Individual preferences for 'ageing in place' (AIP) in old age are not well understood. One way to test the strength of AIP preference is to investigate the effect of health shocks on residential mobility to smaller size or value dwellings, which we refer to as 'housing downsizing'. This paper exploits more than a decade worth of longitudinal data to study older people's housing decisions across a wide range of European countries. We estimate the effect of health shocks on different proxies for physical and financial housing downsizing (residential mobility, differences in home value, home value to wealth ratio), to examine the persistence of AIP preferences. Our findings suggest that consistently with the AIP hypothesis, after every decade of life, the likelihood of downsizing decreases by two percentage points (pp). However, the experience of a health shock partially reverts such culturally embedded preference for AIP by a non-negligible magnitude. We estimate a 9pp increase in the probability of residential mobility after the onset of a degenerative illness), and an average 0.6 fewer rooms after the onset of a degenerative illness. Such estimates are larger in Northern and Central European countries. [ABSTRACT FROM AUTHOR]

Longevity expectations (LE) are subjective assessments of future health status that can influence a number of individual health protective decisions. This is especially true during a pandemic such as COVID-19, as the risk of ill health depends more than ever on such protective decisions. This paper examines the causal effect of LE on some protective health behaviors and a number of decisions regarding forgoing health care. We use data from the Survey of Health Ageing and Retirement in Europe, and we draw on an instrumental variable strategy exploiting individual level information on parental age at death. Consistent with the too healthy to be sick hypothesis, we find that individuals, exhibiting higher expected longevity, are more likely to engage in protective behaviours, and are less likely to forgo medical treatment. We estimate that a one standard deviation increase in LE increases the probability to comply always with social distancing by 0.6%, to meet people less often by 0.4% and decreases the probability to forgo any medical treatment by 0.6%. Our estimates vary depending on supply side restrictions influencing the availability of health care, as well as individual characteristics such as gender and the presence of pre-existing health conditions. [ABSTRACT FROM AUTHOR]