Socioeconomic Heterogeneity in the Effect of Health Shocks on Earnings. Evidence from Population-Wide Data on Swedish Workers

In this paper, we estimate socioeconomic heterogeneity in the effect of unexpected health shocks on labor market outcomes, using register-based data on the entire population of Swedish workers. We effectively exploit a Difference-in-Difference-in-Differences design, in which we compare the change in labor earnings across treated and control groups with high and low education levels. If the anticipation effects are similar for individuals with high and low education, any difference in the estimates across socioeconomic groups could plausibly be given a causal interpretation. Our results suggest a large amount of heterogeneity in the effects, in which individuals with a low education level suer relatively more from a given health shock. These results hold across a wide range of different types of health shocks and become more pronounced with age. Our results suggest that socioeconomic heterogeneity in the effect of health shocks offers one explanation for how the socioeconomic gradient in health arises.Health; Health Shocks; Socioeconomic Status; Life-cycle

Socioeconomic heterogeneity in the effect of health shocks on earnings: evidence from population-wide data on Swedish workers

In this paper, we test for the existence of socioeconomic heterogeneity in the effect of health shocks on labor market outcomes using register data on the total population of Swedish workers. We estimate fixed effect models and use unexpected hospitalizations as a measure of health shocks. Our results suggest large heterogeneity in the effects, where low educated individuals suffer relatively more from a given health shock. This result holds across a wide range of different health shocks and our results suggest that the heterogeneity increases by age. We test several potential explanations to these results. Extensive sensitivity analyses, including a difference-in-differences matching model, show that our estimates are robust to a number of potential threats. We conclude that socioeconomic heterogeneity in the effect of health shocks offers one explanation to why the socioeconomic gradient in health widens during middle ages.Health; health shocks; socioeconomic status; life-cycle

Early Life Health and Adult Earnings: Evidence from a Large Sample of Siblings and Twins

We study the relationship between early life health and adult earnings using a unique dataset that covers almost the entire population of Swedish males born between 1950 and 1970. The health information is obtained from medical examinations during the mandatory military enlistment tests at age 18, which we have further linked to register data on adult earnings. We find that most types of major diagnoses have long-run effects on future earnings with the largest effects resulting from mental conditions. Including sibling fixed effects or twin-pair fixed effects reduces the magnitudes of the estimates, although remaining substantial.earnings, health, specific conditions, siblings, twins

Does Early Life Health Predict Schooling Within Twin Pairs?

A large number of studies in labor economics estimate the returns to schooling using data on monozygotic twins, under the assumption that educational attainment is random within twin pairs. This exogeneity assumption has been commonly questioned, however, but there is to date little evidence on the topic. Using a large dataset of twins, including comprehensive information on their health status at the age of 18 and later educational attainment, we investigate whether educational attainment is related to early health status within monozygotic twin pairs. In general, we obtain no indication of this being so. As a result, we find little evidence that early health differences between twins would bias the estimates of the returns to schooling available in the literature.twins, twin-fixed effects, schooling, returns to schooling, ability bias, health

Intermittent Connectivity for Exploration in Communication-Constrained Multi-Agent Systems

Motivated by exploration of communication-constrained underground environments using robot teams, we study the problem of planning for intermittent connectivity in multi-agent systems. We propose a novel concept of information-consistency to handle situations where the plan is not initially known by all agents, and suggest an integer linear program for synthesizing information-consistent plans that also achieve auxiliary goals. Furthermore, inspired by network flow problems we propose a novel way to pose connectivity constraints that scales much better than previous methods. In the second part of the paper we apply these results in an exploration setting, and propose a clustering method that separates a large exploration problem into smaller problems that can be solved independently. We demonstrate how the resulting exploration algorithm is able to coordinate a team of ten agents to explore a large environment

Control Synthesis for Permutation-Symmetric High-Dimensional Systems With Counting Constraints

General-purpose correct-by-construction synthesis methods are limited to systems with low dimensionality or simple specifications. In this paper, we consider highly symmetrical counting problems and exploit the symmetry to synthesize provably correct controllers for systems with tens of thousands of states. The key ingredients of the solution are an aggregate abstraction procedure for mildly heterogeneous systems and a formulation of counting constraints as linear inequalities

THE ROLE OF CONTEXT IN MANAGING INFORMATION INFRASTRUCTURE SERVICES

Contemporary organizations are increasingly dependent on information infrastructures to deliver their services. However, information infrastructures are highly complex and dynamic, which lead to considerable management challenges. This research aims to contribute to our understanding of these challenges through an in-depth investigation of a team responsible for information infrastructure services at a large business and technology service company. The complexity and dynamics faced by the team emphasizes the important role of context in managing its information infrastructure services and underlying technology platform. To investigate the team’s practice we therefore adopt contextualist inquiry in combination with a pluralist approach based on four complementary theoretical lenses; technological frames of references, risk management, control versus drift, and dynamic capabilities. As contributions, this research has the dual goal to improve the teams’ practices while at the same time providing new theoretical insights about the role of context in management of information infrastructure services