How Do Shocks to Non-Cognitive Skills Affect Test Scores?

This paper investigates the extent to which test performance is affected by shocks to non-cognitive skills. 440 students took a low stakes mathematics test. About half of them were exposed to positive affirmation while being given test instructions, whereas the other half served as controls. The students were allocated to 14 tutorials and randomisation was conducted at the tutorial level. Mean comparisons suggest that test scores were raised by the intervention. In particular, students with low maths grades and with self-assessed difficulties in maths gained from the positive affirmation. Results suggest that teachers might increase their students' performance by interventions to their non-cognitive skills. Inference is obtained by four different methods that take into account that randomisation was clustered at the tutorial group level. These methods are evaluated in a Monte Carlo study for data generating processes which resemble actual data. We find that randomisation inference followed by the wild cluster bootstrap have superior size properties compared to conventional approaches.test scores, non-cognitive skills, cluster randomised trial, wild cluster bootstrap, randomisation inference

How Do Shocks to Non-Cognitive Skills Affect Test Scores?

This paper investigates the extent to which test performance is affected by shocks to noncognitive skills. 440 students took a low stakes mathematics test. About half of them were exposed to positive affirmation while being given test instructions, whereas the other half served as controls. The students were allocated to 14 tutorials and randomisation was conducted at the tutorial level. Mean comparisons suggest that test scores were raised by the intervention. In particular, students with low maths grades and with self-assessed difficulties in maths gained from the positive affirmation. Results suggest that teachers might increase their students' performance by interventions to their non-cognitive skills. Inference is obtained by four different methods that take into account that randomisation was clustered at the tutorial group level. These methods are evaluated in a Monte Carlo study for data generating processes which resemble actual data. We find that randomisation inference followed by the wild cluster bootstrap have superior size properties compared to conventional approaches.test scores, non-cognitive skills, cluster randomised trial, wild cluster bootstrap, randomisation inference

Networks and product innovation across European SMEs

This paper analyzes the effect of different cooperation forms on innovation in small and medium enterprises in Belgium, Germany, Portugal and Spain using Community Innovation Survey data from 2008. We find that vertical cooperation and knowledge cooperation increases the probability to introduce product innovations in all countries. The positive effect is driven by cooperation in the home country in Germany and Spain while it comes from cooperations with foreign countries in Belgium and Portugal. However, our results suggest that SME are not able to capitalize from these cooperations. We find a significant and positive effect of horizontal cooperation on sales due to product innovation only in Germany

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

How do shocks to non-cognitive skills affect test scores?

This paper investigates the extent to which test performance is affected by shocks to non-cognitive skills. 440 students took a low stakes mathematics test. About half of them were exposed to positive affirmation while being given test instructions, whereas the other half served as controls. The students were allocated to 14 tutorials and randomisation was conducted at the tutorial level. Mean comparisons suggest that test scores were raised by the intervention. In particular, students with low maths grades and with self-assessed difficulties in maths gained from the positive affirmation. Results suggest that teachers might increase their students' performance by interventions to their non-cognitive skills. Inference is obtained by four different methods that take into account that randomisation was clustered at the tutorial group level. These methods are evaluated in a Monte Carlo study for data generating processes which resemble actual data. We find that randomisation inference followed by the wild cluster bootstrap have superior size properties compared to conventional approaches

Assessing the impact of European Integration on sectoral trade in services

The present paper contributes to the existing literature analyzing the relationship between intra EU trade in services and European Integration by taking into consideration a potential endogeneity bias of the EU dummy and a correct specification of multilateral resistance terms in a panel data set covering the years 2000-2010. Our results offer evidence for a high positive impact of European integration on aggregate services trade between member states while we find a negative effect of monetary integration. However, there exist notable differences at the sector level. According to our results, European integration has positive effects especially for business services, travel and EDV services. Analyzing the evolvement of the sectoral EU-effects over time shows that exports of EDV and OBS have steadily increased due to European integration

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

Assessing the impact of European Integration

on sectoral trade in service