Because of the large amount of information and the difficulty in selecting an appropriate recipient in the context of charitable giving, people tend to make extensive use of heuristics, which sometimes leads them to wrong decisions. In the present work, we focused on exploring how individuals are influenced by anchoring heuristics and how group membership interacts with this heuristic. In Experiment 1, two different groups of participants were informed about low versus high average donations of other people, and a third control group did not receive any information about the others’ donations. The results showed that participants were willing to donate significantly more in the high-anchor condition compared to the low-anchor condition, as well as about the same amount of money in the low-anchor condition and no-anchor condition. Experiment 2 and 3 showed that high anchors are more effective when the information about others’ donations reflects members of the ingroup rather than the outgroup. Other variables related to these results are further discussed.

We investigate gender differences across multiple dimensions after 3 months of the first UK lockdown of March 2020, using an online sample of approximately 1,500 Prolific respondents’ residents in the UK. We find that women's mental health was worse than men along the four metrics we collected data on, that women were more concerned about getting and spreading the virus, and that women perceived the virus as more prevalent and lethal than men did. Women were also more likely to expect a new lockdown or virus outbreak by the end of 2020, and were more pessimistic about the contemporaneous and future state of the UK economy, as measured by their forecasted contemporaneous and future unemployment rates. We also show that between earlier in 2020 before the outbreak of the Coronavirus pandemic and June 2020, women had increased childcare and housework more than men. Neither the gender gaps in COVID-19-related health and economic concerns nor the gender gaps in the increase in hours of childcare and housework can be accounted for by a rich set of control variables. Instead, we find that the gender gap in mental health can be partially accounted for by the difference in COVID-19-related health concerns between men and women.