We examine the long-term labor market impact of the steam engine, an early general-purpose technology, by linking newly digitized 19th-century records from Prussia to modern German labor market data (1975-2019). Regions with a higher concentration of steam engines per worker in 1875 exhibit...

This study examines the effects of the russia's full-scale invasion on the Ukrainian corporate labor market. We use the DID technique to analyze a panel data set of over 100,000 firms linked to geolocation and industry data spanning 2021-2024 and show how war harms the corporate labor market in...

We use novel data from a survey of nearly 750 corporate executives to study the effects of artificial intelligence (AI) on productivity and the workforce. We document substantial heterogeneity in AI adoption across firms, with more than half having already invested, though many smaller firms are...

The discussion on Artificial Intelligence (AI) often centers around its impact on productivity, but macroeconomic evidence for Europe remains scarce. Using the Acemoglu (2024) approach we simulate the medium-term impact of AI adoption on total factor productivity for 31 European countries. We...

This chapter presents a tractable framework for the study of technology adoption and diffusion in the context of economic development. Firms in countries behind the world technology frontier can rapidly adopt new techniques from the world frontier. Lower absorptive capacity (because of weak...

Gender gaps in earnings persist even among high-skilled workers, partly because men and women often perform different tasks within and across jobs. We study a rare setting in which high-skilled men and women perform the same tasks under comparable conditions, allowing us to assess gender...

We present the first representative international data on firm-level AI use. We survey almost 6,000 CFOs, CEOs, and executives from stratified firm samples across the US, UK, Germany, and Australia. We find four key facts. First, around 70 percent of firms actively use AI, particularly younger,...

Investment has been low in the last decades (both by firms and by government). This does not only hold for fixed capital including R&D, but also for investment in climate, housing, infrastructure and education. Productivity has been low too and should be stimulated, as is elaborated in the...

We study the effects of North Macedonia's 2017 minimum wage reform - the largest in the country's history - using matched employer-employee administrative data covering the entire range of firms and employees, and a difference-in-differences design based on firms' pre-reform share of minimum...

This paper examines the implications of heterogeneity in construction productivity on cross-country income disparity. Using a sample of 168 countries, we estimate the 10:1 spread in construction productivity as a factor of 49-fold in 2017. The construction productivity gap falls by 46 percent...

Gender gaps in earnings persist even among high-skilled workers, partly because men and women often perform different tasks within and across jobs. We study a rare setting in which high-skilled men and women perform the same tasks under comparable conditions, allowing us to assess gender...

This paper reviews the contributions of the 2025 Nobel Prize in Economics laureates, Joel Mokyr, Philippe Aghion and Peter Howitt, to our understanding of innovation-driven economic growth, situating their work within the broader evolution of modern growth theory and empirical evidence. It...

This paper examines how proposed U.S. restrictions on international students would affect the nation's STEM workforce and long-run economic growth. Focusing on the most common pipeline from U.S. universities to the labor market, we show that international education is the principal mechanism by...

This study examines whether size-contingent employment regulations are associated with distortions in firm size distribution and whether such patterns are more consistent with productivity-based selection or with broader constraints on firm scaling. Using 2024 census data covering 86,758 formal...

Recent evidence suggests that Chinese imports negatively impact firm-level productivity growth in the EU. We argue that this effect is moderated by the technological frontier, as proposed by Acemoglu et al. (2006). Using three distinct measures of the frontier, we examined firm-level data from...

We study the interconnection between the productivity and pricing effects of financial shocks. Combining administrative records on firm-level output prices and quantities with quasi-experimental variation in credit supply, we show that a tightening of credit conditions has a persistent, yet...

Artificial intelligence (AI) is diffusing rapidly in the workplace, yet aggregate productivity gains remain limited. This paper examines the dual diffusion of AI – through both formal, employer-led and informal, employee-initiated adoption – as potential explanation. Using a representative...

In December 2017, the government of Türkiye announced a comprehensive ban on the procurement of outsourced services by public institutions and mandated that all workers providing such services on-site be transitioned into permanent public positions within six months. We study the labor-market...

This study analyses Portugal's wheat productive capacity, exploring the reasons behind its recent steady decline despite achieving self-sufficiency in the 20th century. Using Multivariate Adaptive Regression Splines (MARS), which proved to be highly effective in the development of forecasting...

We estimate relative wage discrimination for ethnic and migrant groups in New Zealand, using linked employer-employee and firm-level productivity data, and comparing each group's contribution to output with their share of their firm's wage bill. We find that wage discrimination is relatively...

Background: Gold mining is a critical part of the industry of Central Asia, contributing significantly to regional economic growth. However, gold production management faces numerous challenges, including adopting innovative technologies such as AI, using improved logistical equipment, resolving...