We explore whether ageist stereotypes in job ads are detectable using machine-learning methods measuring the linguistic similarity of job-ad language to ageist stereotypes identified by industrial psychologists. We then conduct an experiment to evaluate whether this language is perceived as biased against older workers searching for jobs. We find that job-ad language classified by the machine-learning algorithm as closely related to ageist stereotypes is perceived by experimental subjects as biased against older job seekers. These methods could potentially help enforce anti-discrimination laws by using job ads to predict or identify employers more likely to be engaging in age discrimination.

This paper examines inter-industry patterns of the employment of older workers over the last 20 years to understand where employment opportunities have grown the most. The underlying premise is that firms strategically align their age mix depending on production function and labor cost parameters. The industries that had the largest increases in the percentage of older workers were those that had the broadest pension coverage and those that made the greatest use of high-tech capital. There also is evidence in 2001–07 that the percentage of older workers increased more in the industries most exposed to increased Chinese imports.

This paper uses the Current Population Survey to study older workers' transitions out of employment and into retirement during the first year of the pandemic. We find that, among workers ages 55 to 79, the likelihood of leaving employment over the course of a year rose by 6.7 percentage points, a 43-percent increase over baseline. Workers without a college degree, Asian–Americans, those whose jobs were not amenable to social distancing, and part-time workers saw disproportionate impacts. In contrast, the likelihood of retiring increased by 1 percentage point, and there was no immediate retirement boom for full-time workers under 70.

The COVID-19 pandemic triggered a large and immediate drop in employment among U.S. workers, along with major expansions of unemployment insurance (UI) and work from home. We use Current Population Survey and Social Security application data to study employment among older adults and their participation in disability and retirement insurance programs through the second year of the pandemic. We find ongoing improvements in employment outcomes among older workers in the labor force, along with sustained higher levels in the share no longer in the labor force during this period. Applications for Social Security disability benefits remain depressed, particularly for Supplemental Security Income. In models accounting for the expiration of expanded UI, we find some evidence that the loss of these additional financial supports resulted in an increase in disability claiming. Social Security retirement benefit claiming is approximately 3% higher during the second year of the pandemic.

Balancing caregiving duties and employment can be both financially and emotionally burdensome, especially when care is provided to a spouse at home. Caregiving subsidies can play a role in helping caregivers to cope with such duties. This paper demonstrates how providing financial respite for caregivers can influence individuals' decisions to retire early. We investigate the impact of a reform that extended long-term care (LTC) benefits (in the form of subsidies and supports) on the intention of a caregiving spouse to retire early in Spain. We subsequently examine the effect of austerity spending cuts reducing such publicly funded benefits, and we compare the estimates to the effects of an early retirement reform among private sector workers around the same time. Our preferred estimates suggest evidence of a 10pp reduction in early retirement intentions after the extension of LTC benefits even though the effect is heterogeneous by type of benefit. Consistently, austerity spending cuts in benefits are found to weaken retirement intentions. Even more importantly, our estimates suggest that cuts in caregiving subsidies exert a much stronger effect on early retirement intentions than actual early retirement reforms.

We investigate the impact of a 2005 policy that provided more generous terms for delaying state pensions in the United Kingdom. First, we find that the policy reduced the fraction of males and possibly females receiving pensions at the earliest eligibility age and shortly thereafter. This shift affected cohorts who became eligible for state pensions at or after the policy change. Second, the policy is associated with increases in male and female labor supply around the earliest pension eligibility age, consistent with some individuals working longer to finance pension delay. However, further analysis suggests that these labor supply changes are more likely to reflect longer-term trends across birth cohorts rather than a causal effect of the policy.

The gap in the life expectancy of the elderly across educational groups is high, and this will probably increase over the coming decades. In this article, we use a computable overlapping generations model economy to show that the long-term link between heterogeneity in longevity and education could translate into an implicit tax/subsidy on the expected lifetime benefits to lifetime payroll taxes ratio, with rates around 10%, and that such rates pervert redistributive objectives of pension systems. We then analyze some parametric changes aimed at restoring the progressiveness of these systems in the long run, and find that a higher minimum pension or changes in the pension benefit formula go a long way as tools to restore the system's long-term progressivity.

We administered the FINRA Foundation's National Financial Capability Study questionnaire to members of the RAND American Life Panel in 2012 and 2018. Using this unique, longitudinal data set, we investigate the evolution of financial literacy over time and shed light on the effect of financial knowledge on financial outcomes. Over a six-year observation period, financial literacy appears to be rather stable, with a slight tendency to decline at older ages. Importantly, financial literacy has significant predictive power for future financial outcomes, even after controlling for baseline outcomes and a wide set of demographics and individual characteristics that influence financial decision making.

Is the trust that participants have in their pension fund affected by its funding ratio (i.e., asset/liabilities ratio)? Based on survey, carried out in October 2021, among Dutch pension fund participants we link our survey data to the funding ratio of their pension fund as registered by the pension regulator. First, we show that the level of the funding ratio of their pension fund is positively associated with the trust level of participants. Pension funds with large buffers are associated with a high level of trust. Second, sub-group analyses show that the trust of younger participants is weakly related to the level of the funding ratio and this association is strong and positive for older (55+)/retired participants. It suggests that an interest in or awareness about the financial health of one's pension fund is associated with a higher responsiveness of participants in terms of trust. And third, firm-based pension funds enjoy a higher level of trust compared to sector-based pension funds.