Stefanie Behncke

Does retirement trigger ill health

This paper investigates the effects of retirement on various health outcomes. Data stem from the first three waves of the English Longitudinal Study of Ageing (ELSA). With these informative data, non-parametric matching and instrumental variable (IV) methods are applied to identify causal effects. It is found that retirement significantly increases the risk of being diagnosed with a chronic condition. In particular, it raises the risk of a severe cardiovascular disease and cancer. This is also reflected in increased risk factors (e.g. BMI, cholesterol, blood pressure) and increased problems in physical activities. Furthermore, retirement worsens self-assessed health and an underlying health stock.

A Caseworker Like Me – Does the Similarity between the Unemployed and Their Caseworkers Increase Job Placements?

This article examines whether the chances of job placements improve if the unemployed are counselled by caseworkers who belong to the same social group, defined by gender, age, education and nationality. Based on an unusually informative dataset, which links Swiss unemployed to their caseworkers, we find positive employment effects of about 3 percentage points if the caseworker and his unemployed client belong to the same social group. Coincidence in a single characteristic, e.g., same gender of caseworker and unemployed, does not lead to detectable effects on employment. These results, obtained by statistical matching methods, are confirmed by several robustness checks.

Targeting Labour Market Programmes - Results from a Randomized Experiment

SummaryWe evaluate a randomized experiment of a statistical support system developed to assist caseworkers in Swiss employment offices in choosing appropriate active labour market programmes for their unemployed clients. This statistical support system predicted the labour market outcome for each programme and thereby suggested an ‘optimal’ labour market programme for each unemployed person. The support system was piloted in several employment offices. In those pilot offices, half of the caseworkers used the system and the other half acted as control group. The allocation of the caseworkers to treatment and control group was random. The experiment was designed such that caseworkers retained full discretion about the choice of active labour market programmes, and the evaluation results showed that caseworkers largely did not follow the statistical support system. This indicates that stronger incentives are needed for caseworkers to comply with statistical profiling and targeting systems.

A Caseworker Like Me: Does the Similarity between Unemployed and Caseworker Increase Job Placements?

This paper examines whether the chances of job placements improve if unemployed persons are counselled by caseworkers who belong to the same social group, defined by gender, age, education, and nationality. Based on an unusually informative dataset, which links Swiss unemployed to their caseworkers, we find positive employment effects of about 4 percentage points if caseworker and unemployed belong to the same social group. Coincidence in a single characteristic, e.g. same gender of caseworker and unemployed, does not lead to detectable effects on employment. These results, obtained by statistical matching methods, are confirmed by several robustness checks.

Statistical Assistance for Programme Selection - For a Better Targeting of Active Labour Market Policies in Switzerland

In this paper the motivation and various concepts of statistical systems for assisting case workers in assigning unemployed persons to active labour market programmes (ALMP) are examined and the particular implementation of such a statistical system in Switzerland, which was introduced in the form of a randomized pilot study, is discussed.