Targeting Labour Market Programmes - Results from a Randomized Experiment

We 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 ignored the statistical support system. This indicates that stronger incentives are needed for caseworkers to comply with statistical profiling and targeting systems.Profiling, active labour market programmes, ALMP, statistical treatment rules, unemployment, public employment services

Public Employment Services and Employers: How Important are Networks with Firms?

This paper examines whether contacts between caseworkers in public employment offices and employers impact on the reemployment chances of the unemployed they counsel. This analysis is made possible through a large administrative dataset on unemployed combined with an extensive survey of caseworkers' characteristics and their strategies. This data was created for evaluating public employment services in Switzerland. We use econometric techniques from the treatment evaluation literature to identify causal effects of a more intense employer focus of the caseworkers. The estimation results indicate that caseworkers who maintain direct contacts to firms achieve higher reintegration rates.Public employment services, new public management, employer focus

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.Statistical treatment rules, treatment effect heterogeneity

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

Arbeitsmarktpolitik, Statistisches Auswahlverfahren, Schweiz, Labour market policy, Sample selection, Switzerland

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.social identity, social interactions, public employment services, unemployment, gender, age, education, treatment effects, matching estimators

Unemployed and their Caseworkers: Should they be Friends or Foes?

In many countries, caseworkers in a public employment office have the dual roles of counselling and monitoring unemployed persons. These roles often conflict with each other leading to important caseworker heterogeneity: Some consider providing services to their clients and satisfying their demands as their primary task. Others may however pursue their strategies even against the will of the unemployed person. They may assign job assignments and labour market programmes without consent of the unemployed person. Based on a very detailed linked jobseeker-caseworker dataset, we investigate the effects of caseworkers' cooperativeness on the employment probabilities of their clients. Modified statistical matching methods reveal that caseworkers who place less emphasis on a cooperative and harmonic relationship with their clients increase their employment chances in the short and medium term.Public employment services, unemployment, statistical matching methods

Aktive Arbeitsmarktpolitik in Deutschland und der Schweiz - eine Gegenüberstellung

The active labour market policies in Switzerland and Germany are compared. German and Swiss labour market policies have similar aims, instruments and experienced similar institutional reforms. In Switzerland, an informative administrative database for an evaluation of these policies was made available earlier. The evaluation studies for Switzerland are summarized. Positive effects are found particularly for temporary wage subsidies. These subsidies offer an incentive to accept lower paying jobs. Furthermore, the crucial roles of effect heterogeneity and programme allocation are discussed. By allocating individuals into those programmes with the highest expected benefits, unemployment could be reduced. Such a statistical targeting tool for selecting programmes has been implemented and tested in a pilot study in Switzerland. A similar system is currently developed in Germany. An informative database serves as the foundation for the evaluation and targeting of active labour market policies. Finally, the Swiss and German databases are described.Active labour market policies, evaluation, targeting, statistical treatment rules

Overweight/obesity as the potentially most important lifestyle factor associated with signs of pneumonia in COVID-19

Objective: The occurrence of pneumonia separates severe cases of COVID-19 from the majority of cases with mild disease. However, the factors determining whether or not pneumonia develops remain to be fully uncovered. We therefore explored the associations of several lifestyle factors with signs of pneumonia in COVID-19. Methods Between May and July 2020, we conducted an online survey of 201 adults in Germany who had recently gone through COVID-19, predominantly as outpatients. Of these, 165 had a PCR-based diagnosis and 36 had a retrospective diagnosis by antibody testing. The survey covered demographic information, eight lifestyle factors, comorbidities and medication use. We defined the main outcome as the presence vs. the absence of signs of pneumonia, represented by dyspnea, the requirement for oxygen therapy or intubation. Results: Signs of pneumonia occurred in 39 of the 165 individuals with a PCR-based diagnosis of COVID-19 (23.6%). Among the lifestyle factors examined, only overweight/obesity was associated with signs of pneumonia (odds ratio 2.68 (1.29-5.59) p = 0.008). The observed association remained significant after multivariate adjustment, with BMI as a metric variable, and also after including the antibody-positive individuals into the analysis. Conclusions: This exploratory study finds an association of overweight/obesity with signs of pneumonia in COVID-19. This finding suggests that a signal proportional to body fat mass, such as the hormone leptin, impairs the body's ability to clear SARS-CoV-2 before pneumonia develops. This hypothesis concurs with previous work and should be investigated further to possibly reduce the proportion of severe cases of COVID-19

Genomewide comparison and novel ncRNAs of Aquificales

Background  The Aquificales are a diverse group of thermophilic bacteria that thrive in terrestrial and marine hydrothermal environments. They can be divided into the families Aquificaceae, Desulfurobacteriaceae and Hydrogenothermaceae. Although eleven fully sequenced and assembled genomes are available, only little is known about this taxonomic order in terms of RNA metabolism.  Results  In this work, we compare the available genomes, extend their protein annotation, identify regulatory sequences, annotate non-coding RNAs (ncRNAs) of known function, predict novel ncRNA candidates, show idiosyncrasies of the genetic decoding machinery, present two different types of transfer-messenger RNAs and variations of the CRISPR systems. Furthermore, we performed a phylogenetic analysis of the Aquificales based on entire genome sequences, and extended this by a classification among all bacteria using 16S rRNA sequences and a set of orthologous proteins.  Combining severalin silicofeatures (e.g. conserved and stable secondary structures, GC-content, comparison based on multiple genome alignments) with an in vivo dRNA-seq transcriptome analysis of Aquifex aeolicus, we predict roughly 100 novel ncRNA candidates in this bacterium.  Conclusions  We have here re-analyzed the Aquificales, a group of bacteria thriving in extreme environments, sharing the feature of a small, compact genome with a reduced number of protein and ncRNA genes. We present several classical ncRNAs and riboswitch candidates. By combining in silico analysis with dRNA-seq data of A. aeolicus we predict nearly 100 novel ncRNA candidates