This paper analyses the impact of a change in Australia's immigration policy, introduced in the mid-1990s, on migrants' remittance behaviour. More precisely, we compare the remittance behaviour of two cohorts who entered Australia before and after the policy change, which consists of stricter...

This paper analyses the remittance behaviour of two cohorts of migrants who entered Australia before and after a policy change implemented in the 1990s, which tightened the entry requirements for a subgroup of applicants. We use a mix of a conditional difference-in-differences and OLS estimator...

We are the first to examine the impact of robotization on work meaningfulness and autonomy, competence, and relatedness, which are key for motivation and human flourishing at work. Using worker-level data from 13 industries in 20 European countries and OLS and instrumental variables estimations,...

Using survey data from 20 European countries, we construct novel worker-level indices of routine, abstract, social, and physical tasks, which we combine with industry-level robotization exposure. Our conceptual framework builds on the insight that robotization simultaneously replaces, creates,...

Self-determination theory posits that individuals are motivated at work when their inherent psychological needs for competence, autonomy, and relatedness are satisfied. Drawing on this theory, this paper presents a new conceptual model explaining how work meaningfulness influences effort at...

We demonstrate why meaningful work, i.e. job-related activities that individuals view as purposeful and worthwhile, matters to labour economists. Building on self-determination theory, which specifies the roles of autonomy, competence, and relatedness as preconditions for motivation, we are the...

This paper examines the impact of the Anglophone Conflict in Cameroon on human capital accumulation. Using high-quality individual-level data on test scores and information on conflict-related violent events, a difference-in-differences design is employed to estimate the conflict's causal...

This paper explores the use of a fuzzy regression discontinuity design where multiple treatments are applied at the threshold. The identification results show that, under the very strong assumption that the change in the probability of treatment at the cutoff is equal across treatments, a...

We address the problem of finding the optimal lockdown and reopening policy during a pandemic like COVID-19 for a social planner who prioritizes health over the economy. Agents are connected through a fuzzy network of contacts, and the planner's objective is to determine the policy that contains...

How do pandemics affect for-profit and not-for-profit organizations differently? To address this question, we analyze optimal lockdowns in a two-sector continuous-time individual-based mean-field epidemiological model. We uncover a unique solution that depends on network structure, lockdown...