This paper provides new evidence on how the adoption of artificial intelligence (AI) affects productivity and employment in Europe. Using matched EIBIS-ORBIS data on more than 12,000 non-financial firms in the European Union (EU) and United States (US), we instrument the adoption of AI by EU...

This paper examines the existence and extent to which the "Baumol cost disease" could have affected aggregate growth in Europe. This would arise if lower productivity sectors began to account for an increasing share of output which would then put downward pressure on the prospective growth rate...

Using matched employer-employee data for Germany, we estimate firm production functions augmented with workers' personality traits. We find that emotional stability is the only trait that positively affects firm productivity. Its effect shows up mainly in large firms operating with a higher than...

We apply the synthetic control method to analyze the initial effects of nearshoring on labor outcomes in Mexico's manufacturing sector from July 2020 to June 2023. Our methodology compares jobs, earnings, and productivity among industry groups more likely to be affected by nearshoring, as...

In this paper, we estimate a translog production function for Major League Baseball (MLB) teams that uses factor inputs for hitting, pitching and defence over the 1960-2024 MLB seasons. The computed elasticities of substitution suggest that hitting and pitching are used in fixed proportions,...

Microeconomic theory posits that in competitive markets, wages are determined by the marginal revenue product of labor. This study empirically tests this theoretical prediction using comprehensive firm-level register data from Finland's manufacturing and service industries in years 2000-2022. We...

This paper constructs a new global historical database on public expenditure and revenue and their components—particularly education and health expenditure—covering all world regions over the 1800-2025 period. We document a large rise of human capital expenditure (as % of GDP) in all parts...

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...

We analyze the impact of AI-augmented training on worker productivity in a financial services company. The company introduced an AI tool that provides performance feedback on call center agents to guide their training. To estimate causal effects, we exploit the staggered roll out of the AI-tool....

This paper examines the role of human capital in driving labour productivity growth across industries in the EU and the UK from 2010 to 2021. Building on Egert ' et al. (2022), we introduce a novel quality-adjusted human capital (QAHC) measure that combines both the quantity and quality of...

This paper examines the relationship between firm productivity, wage dynamics, and employment patterns in Ethiopia's manufacturing sector, using firm-level data from the Large and Medium Manufacturing and Electricity Industries Survey (LIMMS) for 2018-2020. In line with the objectives of the...

Objective: The article aims to examine the impact of digitisation on employment and productivity in the financial sector and provide a comparative analysis between the Central European and the Baltic countries as no study has yet compared these two regions in terms of digitalisation and...

Using German survey data, we estimate the determinants of employee quits examining the roles of performance appraisal and performance pay. We show that employees subject to performance appraisals are less likely to quit. Yet, this influence depends upon the financial consequences that flow from...

We quantify the impact of Generative Artificial Intelligence (GenAI) on firm productivity through a series of large-scale randomized field experiments involving millions of users and products at a leading cross-border online retail platform. Over six months in 2023-2024, GenAI-based enhancements...

We study the micro sources and macro consequences of worker–job matching across countries with large income differences. Using internationally comparable data on over 120,000 individuals in 30 countries, we document that workers' skills align more closely with their jobs' skill requirements in...

Daron Acemoglu and Pascal Restrepo uncover how automation disproportionately targets tasks that pay workers above-market wages, eroding those rents and amplifying wage losses for affected workers. Using U.S. data from 1980 to 2016, they show that this “rent dissipation” not only reduces wage...

This article investigates the link between personality traits and workers' productivity when working from home (WFH). We exploit a survey conducted in Latvia in 2021, providing measures of the "Big Five" personality traits for more than 1,700 recent teleworkers. Other things being equal,...