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contagion spillover volatility by focusing on a sample of major oil-exporting and oil-importing countries using daily data from …; during COVID-19; and during the Russian-Ukrainian war. Our results confirm the persistence of volatility for the series … volatility transmission between oil prices and exchange-rate markets. However, the COVID-19 pandemic and the Russian …
Persistent link: https://www.econbiz.de/10014494631
We examine the impact of Articial Intelligence (AI) on productivity in the context of taxi drivers. The AI we study assists drivers with finding customers by suggesting routes along which the demand is predicted to be high. We find that AI improves drivers' productivity by shortening the...
Persistent link: https://www.econbiz.de/10013433210
, England. AI applications to target consumers online, offer cash flow forecasting and facilitate HR activities are associated …
Persistent link: https://www.econbiz.de/10012822083
Artificial Intelligence (AI) is a potentially powerful tool in the fight against the COVID- 19 pandemic. Since the outbreak of the pandemic, there has been a scramble to use AI. This article provides an early, and necessarily selective review, discussing the contribution of AI to the fight...
Persistent link: https://www.econbiz.de/10012199140
In an era characterized by population aging and economic challenges in welfare states across the world, sustaining these welfare systems requires a large workforce. Many individuals outside the labor market aspire to work but encounter a labyrinth of obstacles. While Public Employment Services...
Persistent link: https://www.econbiz.de/10014431794
We investigate how workers adjust to firms' investments into new digital technologies, including artificial intelligence, augmented reality, or 3D printing. For this, we collected novel data that links survey information on firms' technology adoption to administrative social security data. We...
Persistent link: https://www.econbiz.de/10012603258
Characterizing the work that people do on their jobs is a longstanding and core issue in labor economics. Traditionally, classification has been done manually. If it were possible to combine new computational tools and administrative wage records to generate an automated crosswalk between job...
Persistent link: https://www.econbiz.de/10011895817
This paper addresses the steep learning curve in Machine Learning faced by noncomputer scientists, particularly social scientists, stemming from the absence of a primer on its fundamental principles. I adopt a pedagogical strategy inspired by the adage "once you understand OLS, you can work your...
Persistent link: https://www.econbiz.de/10014535259
This paper consolidates recent methodological developments based on Double Machine Learning (DML) with a focus on program evaluation under unconfoundedness. DML based methods leverage flexible prediction methods to control for confounding in the estimation of (i) standard average effects, (ii)...
Persistent link: https://www.econbiz.de/10012193410
Binary treatments are often ex-post aggregates of multiple treatments or can be disaggregated into multiple treatment versions. Thus, effects can be heterogeneous due to either effect or treatment heterogeneity. We propose a decomposition method that uncovers masked heterogeneity, avoids...
Persistent link: https://www.econbiz.de/10013382073