In response to COVID-19, dramatic safer-at-home policies were implemented. The understanding of their impacts on social distancing, travel and pollution is in its infancy. We pair a differences-in-differences framework and synthetic control methods with rich cellular tracking and high frequency...

Using administrative DVLA data matched with micro-data from Understanding Society - the UK Household Longitudinal Study we estimate income-related inequalities in ownership of vehicles with a set of safety features and we apply a regression-based decomposition method for rank-dependent...

We study the effects of a large car scrappage scheme in Germany on new car purchases and local air quality by combining vehicle registration data with data on local air pollutant emissions. For identification we exploit cross-sectional variation across districts in the number of cars eligible...

We propose experiments in virtual reality (VR) as a new approach to examining behavior in an economic context, e.g., heterogeneity in dynamic tournaments. We simulate a realistic working situation in a highly immersive environment. Implementing a tournament in VR, we are able to mitigate the...

In this paper we evaluate experimentally the impacts of a parenting program delivered virtually to 1,431 families with children ages 2-6 years old in Serbia. We compare two program modalities to a control group. In the first (standard) modality, only the main caregiver - mainly mothers -...

Using survey data from 20 European countries, we construct novel worker-level indices of routine, abstract, social, and physical tasks across 20 European countries, which we combine with industry-level robotization exposure. Our conceptual framework builds on the insight that robotization...

Despite ubiquitous discussions of robots' potential impact, there is almost no systematic empirical evidence on their economic effects. In this paper we analyze for the first time the economic impact of industrial robots, using new data on a panel of industries in 17 countries from 1993-2007. We...

Artificial Intelligence is set to influence every aspect of our lives, not least the way production is organized. AI, as a technology platform, can automate tasks previously performed by labor or create new tasks and activities in which humans can be productively employed. Recent technological...

This study builds on Autor and Dorn's (2013) classification of automatable work at the three-digit occupation code level to identify additional jobs that will be automatable in the next decade by drawing on patent data. Based on this new classification the study provides estimates of the share...

Using firm-level data covering the 27 EU countries, the UK and the US, we show that employers tend to reduce investment in training per employee after adopting advanced digital technologies (ADT). We estimate with a control function approach firm-level production functions augmented with two...