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Early prediction of university dropouts - a random forest approach
We predict university dropout using random forests based on conditional inference trees and on a broad German data set covering a wide range of aspects of student life and study... -
Different Counselors, Many Options: Career Guidance and Career Plans in Secon...
Career guidance assists students with the school-to-work transition. Based on a survey conducted in secondary schools in Germany, we analyze career guidance activities and how... -
Job Mobility and Sorting: Theory and Evidence (replication data)
Motivated by the canonical (random) on-the-job search model, I measure a person’s ability to sort into higher ranked jobs by the risk ratio of job-to-job transitions to... -
Not Evidence for Baumol's Cost Disease
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Take your time to grow: A field experiment on the hiring of youths
We investigate the effect of spells of no formal employment of young Germans on their chances of entering the labor market through an apprenticeship. We also study whether the... -
The Effects of Germany’s New Minimum Wage on Employment and Welfare Dependency
In January 2015, Germany introduced a federal, statutory minimum wage of 8.50 Euro per hour. This study evaluates the effects of this policy on regular and marginal employment... -
Optimal Social Insurance and Health Inequality
This paper integrates into public economics a biologically founded, stochastic process of individual ageing. The novel approach enables us to quantitatively characterize the... -
Using a Bayesian Structural Time–Series Model to Infer the Causal Impact on C...
The Bayesian structural time series model, used in conjunction with a state–space model, is a novel means of exploring the causal impact of a policy intervention. It extends the... -
Program code for "Does compressing high school duration affect students' stre...
This dataset has no description
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Data set for Roodman replication of Bleakley 2007
This dataset has no description
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Data set for Roodman replication of Bleakley 2010
This dataset has no description