We study the microeconomic implications of robot adoption using a rich panel data-set of Spanish manufacturing firms over a 27-year period (1990-2016). We provide causal evidence on two central questions: (1) Which firm characteristics prompt firms to adopt robots? (2) What is the impact of robots on adopting firms relative to non-adopting firms? To address these questions, we look at our data through the lens of recent attempts in the literature to formalize the implications of robot technology. As for the first question, we establish robust evidence for positive selection, i.e., ex-ante better performing firms (measured through output and labour productivity) are more likely to adopt robots. On the other hand, conditional on size, ex-ante more skill-intensive firms are less likely to do so. As for the second question, we find that robot adoption generates substantial output gains in the vicinity of 20-25% within four years, reduces the labour cost share by 5-7%-points, and leads to net job creation at a rate of 10%. These results are robust to controlling for non-random selection into robot adoption through a difference-in-differences approach combined with a propensity score reweighting estimator. To further validate these results, we also offer structural estimates of total factor productivity (TFP) where robot technology enters the (endogenous) productivity process of firms. The results demonstrate a positive causal effect of robots on productivity, as well as a complementarity between robots and exporting in boosting productivity.

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We use the most recent wave of the German Qualifications and Career Survey to reveal a substantial wage premium in a Mincer regression for workers performing their job from home. The premium accounts for more than 10% and persists within narrowly defined jobs as well as after controlling for workplace characteristics. In a next step, we provide evidence on substantial regional variation in the share of jobs that can be done from home in Germany. Our analysis reveals a strong, positive relation between the share of jobs with working from home opportunities and the mean worker income in a district. Assuming that jobs with the opportunity of remote work are more crisis proof, our results suggest that the COVID-19 pandemic might affect poorer regions to a greater extent. Hence, examining regional disparities is central for policy-makers in choosing economic policies to mitigate the consequences of this crisis.

Understanding the effects of foreign direct investment and the behavior of multinational enterprises (MNEs) is a core issue in the study of international economics. We exploit within-firm variation in ownership structure induced by foreign acquisitions in Spain to provide a new angle on the relationship among foreign ownership, technology, and skills. We first develop a model in which heterogeneous firms decide endogenously about the level of technology, the share of highskilled workers, and the level of worker training. Foreign-owned firms implement better technology than domestically owned firms due to access to foreign markets through the foreign parent. This market size effect, coupled with a technology-skill complementarity, raises the demand for high-skilled workers as well as worker training upon acquisition. The largest productivity gains predicted by the model accrue to those firms that optimally combine better technology with a larger share of high-skilled workers in production and a better trained workforce. We test these predictions on a longitudinal data set of Spanish manufacturing firms. Combining firm fixed effects with a suitable propensity score weighting estimator, we find empirical evidence that foreign-acquired firms, not only increase their technology level, but also engage in skill upgrading upon acquisition (through both hiring and training). Moreover, we show that these changes are driven by the market size effect, and not by changes in the ownership structure per se. Finally, we reveal a technology-skill complementarity in the data implying that the productivity gains associated with better technology are magnified for firms actively engaging in skill upgrading. Overall, our paper provides strong evidence for the notion that foreign MNEs "inject" skill-biased technological change into their affiliated firms.

An online professional network for veterinarians, veterinary students, veterinary educationalists, and ICT (Information and Communication Technology) educationalists is being developed under the EU (European Union) Lifelong Learning Programme. The network uses Web 2.0, a term used to describe the new, more interactive version of the Internet, and includes tools such as wikis, blogs, and discussion boards. Focus groups conducted with qualified and student veterinarians within the project's five founding countries (The Netherlands, Germany, United Kingdom, Hungary, Romania) demonstrated that online professional communities can be valuable for accessing information and establishing contacts. Online networks have the potential to overcome common challenges to face-to-face communities-such as distance, cost, and timing-but they have their own drawbacks, such as security and professionalism issues. The Network Of Veterinary ICt in Education (NOVICE) was developed using Elgg, an open-source, free social networking platform, after several software options had been considered. NOVICE aims to promote the understanding of Web 2.0, confidence to use social software tools, and participation in an online community. Therefore, the Web site contains help sections, Frequently Asked Questions, and access to support from ICT experts. Five months after the network's launch (and just over one year into the project) 515 members from 28 countries had registered. Further research will include analysis of a core group's activities, which will inform ongoing support for and development of informal, lifelong learning in a veterinary context.