How do truck drivers perceive the risk they face from automation and their opportunities to retrain for employment in a different occupation? Autonomous vehicle (AV) technology has made rapid progress in recent years, so these questions are likely salient to truckers. Based on surveys of the new...

The green transition towards a carbon neutral economy constitutes a technological transformation, in which firms need to invest in new, clean technologies. In order to be operated, these new technologies often require a set of technology-specific skills that differ from those that were relevant...

The green transition towards a carbon neutral economy constitutes a technological transformation, in which firms need to invest in new, clean technologies. In order to be operated, these new technologies often require a set of technology-specific skills that differ from those that were relevant...

Abschlussorientierte Weiterbildungen können für Geringqualifizierte ein probates Mittel sein, um ihre Beschäftigungs- und Verdienstmöglichkeiten in einer sich stetig wandelnden Arbeitswelt zu verbessern. Häufig werden aber finanzielle Gründe als Hinderungsgrund genannt, wenn es um...

This paper examines the evidence from randomized evaluations of sector-focused training programs that target low-wage workers and combine upfront screening, occupational and soft skills training, and wraparound services. The programs generate substantial and persistent earnings gains (11 to 40...

Retraining is a policy tool that can help workers displaced by import competition, but there is surprisingly little work in economics on retraining and trade adjustment. Using administrative data from Germany, a highly open economy with extensive government-subsidized retraining programs, we...

"This book makes a substantive contribution to the ongoing discourse surrounding reskilling, fostering a culture of lifelong learning and adaptability for the collective benefit of individuals, businesses, and society as a whole."

How do truck drivers perceive the risk they face from automation and their opportunities to retrain for employment in a different occupation? Autonomous vehicle (AV) technology has made rapid progress in recent years, so these questions are likely salient to truckers. Based on surveys of the new...

An issue often confronting economic development agencies is how to minimize unemployment due to disruptions like technological change, trade wars, recessions, or other economic shocks. Decision makers are left to craft policies that can absorb surplus labor with as little pain to workers as...

Die vorliegende Studie beschäftigt sich mit den Herausforderungen des digitale Wandels für die berufliche Aus- und Weiterbildung sowie für die Hochschullehre. Dafür wurden eine breit angelegte Literaturanalyse sowie die Auswertung verschiedener Indikatoren vorgenommen. Den Kern der Studie...

In this paper we estimate the short-term effects of a French retraining program that was intended to improve reemployment prospects of displaced workers. Our empirical analysis uses non-experimental data collected by the French Ministry of Labour. Transitions from unemployment to permanent vs....

Studies show that high-tenure displaced workers typically incur substantial long-term earnings losses. As these losses have become increasingly apparent, policy makers have significantly expanded resources for retraining, much of which takes place in regular community college classes. To analyze...

This paper evaluates an Austrian manpower training program, which is highly innovative in its content and financing - and could therefore serve as a role model for other programs. In the late 1980s privatization and down-sizing of nationalized steel firms have lead to large-scale redundancies. A...

The U.S. economy has experienced a significant drop in the fraction of the population employed in middle wage, "routine task-intensive" occupations. Applying machine learning techniques, we identify characteristics of those who used to be employed in such occupations and show they are now less...

The U.S. economy has experienced a significant drop in the fraction of the population employed in middle wage, "routine task-intensive" occupations. Applying machine learning techniques, we identify characteristics of those who used to be employed in such occupations and show they are now less...

The U.S. economy has experienced a significant drop in the fraction of the population employed in middle wage, "routine task-intensive" occupations. Applying machine learning techniques, we identify characteristics of those who used to be employed in such occupations and show they are now less...

The U.S. economy has experienced a significant drop in the fraction of the population employed in middle wage, "routine task-intensive" occupations. Applying machine learning techniques, we identify characteristics of those who used to be employed in such occupations and show they are now less...

This paper examines the evidence from randomized evaluations of sector-focused training programs that target low-wage workers and combine upfront screening, occupational and soft skills training, and wraparound services. The programs generate substantial and persistent earnings gains (11 to 40...

We exploit a survey data set that contains information on how 11,000 workers across advanced and emerging market economies perceive the main forces shaping the future of work. In general, workers feel more positive than negative about automation, especially in emerging markets. We find that...

We analyse the impact of retraining for the unemployed on future labour market success, and estimate effects separately for different target occupations. We use German registry data and apply statistical matching methods. The results show that on average, after a period with strong lock-in...

We analyse the impact of retraining for the unemployed on future labour market success, and estimate effects separately for different target occupations. We use German registry data and apply statistical matching methods. The results show that on average, after a period with strong lock-in...

Large and persistent earnings losses following displacement have adverse consequences for the individual worker and the macroeconomy. Leading models cannot explain their size and disagree on their sources. Two mean-reverting forces make earnings losses transitory in these models: search as an...

The paper presents a study of the culture technology of grapevines at 'Saint Nicholas" Chiðtorani - Valea Cæalugæareascæa, "Saint Mary" - Urlati and "Saints Constantine and Elena" - Ceptura monasteries from the Archdiocese of Bucharest holding in property areas planted with grapevines in...

Im Bereich der Weiterbildungen mit Abschluss in einem anerkannten Ausbil-dungsberuf für Arbeitslose zählen Pflegeberufe sowohl bei Frauen als auch bei Männern zu den am häufigsten angestrebten Berufen im Rahmen von Umschu-lungen. Der häufigste Zielberuf in dem Feld der Pflegeberufe ist der...

The paper presents a study of the culture technology of grapevines at “Saint Nicholas" Chiţorani - Valea Călugărească, "Saint Mary" - Urlati and "Saints Constantine and Elena" - Ceptura monasteries from the Archdiocese of Bucharest holding in property areas planted with grapevines in Dealu...