There is a large theoretical literature on methods for estimating causal effects under unconfoundedness, exogeneity, or selection-on-observables type assumptions using matching or propensity score methods. Much of this literature is highly technical and has not made inroads into empirical...

Research has shown that employment status, such as being unemployed or retired, can be related to well-being. In addition, the direction and size of these relationships can be influenced by the employment status of one's peer group. For example, it has been shown that the well-being of the...

This paper estimates the effect of job loss on mortality for older male workers with strong labor force attachment. Using Dutch administrative data, we find that job loss due to sudden firm closure increased the probability to die within five years by a sizable 0.60 percentage points....

There is sparse evidence on the impact of health information on mental health as well as on the mechanisms governing this relationship. We estimate the causal impact of health information on mental health via the effect of a diabetes diagnosis on depression. We employ a fuzzy regression...

This paper examines the role physical activity plays in determining body mass using data from the American Time Use Survey. Our work is the first to address the measurement error that arises when time use during a single day - rather than average daily time use over an extended period - is used...

We estimate short- and long-term causal impacts of a type-2 diabetes mellitus (T2DM) diagnosis on lifestyle behaviours. We employ a fuzzy regression discontinuity design exploiting the exogenous cut-off value in the diagnosis of T2DM provided by a biomarker (glycated haemoglobin, HbA1c). We make...

Drawing on nationally representative UK data, we explore the association of parental health and disability with mental distress and non-cognitive skills development of adolescents; both self-reported and more objectively measured bio-measures are used to capture parental health. Overall, we...

In this paper we describe an alternative iterative approach for the estimation of linear regression models with high-dimensional fixed-effects such as large employer-employee data sets. This approach is computationally intensive but imposes minimum memory requirements. We also show that the...

Education policy-makers and practitioners want to know which policies and practices can best achieve their goals. But research that can inform evidence-based policy often requires complex methods to distinguish causation from accidental association. Avoiding econometric jargon and technical...

This essay reviews progress in empirical economics since Leamer's (1983) critique. Leamer highlighted the benefits of sensitivity analysis, a procedure in which researchers show how their results change with changes in specification or functional form. Sensitivity analysis has had a salutary but...