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The coronavirus disease 2019 (COVID-19) pandemic surged in early March 2020, with unemployment reaching historic levels in April 2020. This study paints an early portrait of the pandemic’s impact on the finances of households in Quebec, one of the hardest-hit provinces in terms of COVID-19 cases as well as unemployment levels. The article also provides an understanding of how government emergency benefit programs may have helped households get by during the early period of the pandemic. Finally, we draw on expectations data collected in a survey of 3,009 respondents living in Quebec to illustrate what households can expect for the rest of 2020.

The market for long-term care (LTC) insurance is much smaller than economic theory predicts. One reason is that premium markups are prohibitively high. We aim at quantifying markups for LTC insurance due to mortality and morbidity risk. To this end, we model a shareholder value maximising insurance company that is subject to solvency regulation. Because liabilities from LTC insurance (which depend on future morbidity and mortality) are more volatile than liabilities from annuities (which only depend on future mortality), capital provisions to ensure compliance with regulatory solvency requirements are higher if an insurance company offers LTC insurance instead of annuities. At the same time, a higher volatility in the LTC insurance segment also implies a higher expected payoff to the insurance company’s shareholders. To quantify which effect prevails and which product policy is optimal, we conduct an empirically calibrated simulation study with stochastic mortality and LTC needs. Our results show that offering LTC insurance increases the upside potential to shareholders, but that effect is more than offset by a higher need for external capital. Consequently, if shareholders are to accept an LTC insurance segment, holders of an LTC insurance policy need to pay considerable markups. The more LTC insurance contracts the insurer has sold, the higher the markups.

In theory, illiquid housing may substitute for long-term care insurance (LTCI) as retirees decumulate housing wealth mainly when moving to long-term care facilities. In this paper, I build and estimate a rich life-cycle model of single retirees in order to evaluate whether the impact of housing liquidity on LTCI demand is large. Overall, I find that the prospects of increasing LTCI demand by making housing more liquid are quite limited, as even large increases in housing liquidity generate modest increases in LTCI demand. I also find a limited impact of housing liquidity on the demand for life annuities. Finally, I show that the types of bequest motives used to rationalize the low take-up of reverse mortgages are generally inconsistent with the low demand for LTCI, suggesting that other factors may play a role in this low take-up of reverse mortgages.

In this work we introduce a general equilibrium model with landlords, indebted owner-occupiers and renters to study housing markets' dynamics. We estimate it by using standard Bayesian methods and match the US data of the last decades. This framework is particularly suited to explain current trends on housing markets. We highlight the crucial relationship between interest rates, house prices and rents, and argue that it helps understanding the main driving forces. Our analysis suggests that current developments on housing markets can play a role for a recovery from the Covid pandemic as they have an expansionary effect on aggregate output. Moreover, we account for the heterogeneous impact of crisis-induced policies depending on agents' status on the housing market. We show how, despite an increase in housing prices, the welfare of landlords has been negatively hit. This is associated to the joint decrease in returns on housing and financial assets that reduces their financial incomes.

COVID-19 outbreaks at nursing homes during the recent pandemic, which received ample media coverage, may have lasting negative impacts on individuals’ perceptions regarding ursing homes. We argue that this could have sizable and persistent implications for savings and long-term care policies. We first develop a theoretical model predicting that higher nurs- ing home aversion should induce higher savings and stronger support for policies subsidizing home care. We further document, based on a survey on Canadians in their 50s and 60s, that higher nursing home aversion is widespread: 72% of respondents are less inclined to enter a nursing home because of the pandemic. Consistent with our model, we find that the latter are much more likely to have higher intended savings for older age because of the pandemic. We also find that they are more likely to strongly support home care subsidies.