This paper characterizes the short- and long-run Cournot equilibrium with heterogeneous firms and stochastic technological change. In our model, firms have different technologies with heterogeneous fixed and variable costs and various degrees of markups. In a framework with homogeneous firms,...

After growing substantially during the 1980s through the early 2000s, the college wage premium more recently has been largely unchanged, or stagnant. We extend the canonical production-function model of skill premiums to assess supply and demand contributions to the slowdown in the college wage...

This article presents an estimation of a stochastic frontier model using a translogarithmic production function to identify the impact of production factors - labor and capital - along with CO2 emissions and technical progress on the value added of the manufacturing sector in North American...

Industrial policies are widespread, but evidence on their workforce effects remains limited. We present novel evidence on the impact of EU technology subsidies on employment and skill demand in Finnish SMEs, 1994-2018. The subsidies fund new machinery, including robots and CNC machines....

In this paper, we evaluate the potential of digitalisation to drive structural transformations toward a sustainable economy. We apply an index decomposition analysis (IDA) to understand the factors influencing energy demand in a panel of 31 high-income countries from 1971 to 2019. The IDA...

Using the second wave of the European Skills and Jobs survey, this paper measures the relationship between technological change that automates or augments workers’ job tasks and their participation in work-related training. We find that 58 per cent of European employees experienced no change...

Job training is widely regarded as crucial for protecting workers from automation, yet there is a lack of empirical evidence to support this belief. Using internationally harmonized data from over 90,000 workers across 37 industrialized countries, we construct an individual-level measure of...

The recent digital revolution has significantly broadened the scope of IT-related tasks in most occupations in the labor market. In this paper, we document these changes, we propose a novel conceptual framework for thinking about the effect of technological change that incorporates the changing...

We develop a measure of chronic joblessness among prime-age men and women in the United States - termed the detachment rate - that identifies those who have been out of the labor force for more than a year. We show that the detachment rate more than doubled for men since the early 1980s and rose...

This paper analyses the impact of different types of offshoring and technological change as well as the mediating role of trade union representation at the firm level on the quality of workers' jobs in the EU in terms of atypical employment, which is further differentiated by type of atypical...

Job training is widely regarded as crucial for protecting workers from automation, yet there is a lack of empirical evidence to support this belief. Using internationally harmonized data from over 90,000 workers across 37 industrialized countries, we construct an individual-level measure of...

Job training is widely regarded as crucial for protecting workers from automation, yet there is a lack of empirical evidence to support this belief. Using internationally harmonized data from over 90,000 workers across 37 industrialized countries, we construct an individual-level measure of...

The COVID-19 crisis may have widely and permanently altered the labor market through the demand for skills. Crises tend to accelerate technological change. Previous recent crises were characterized by an acceleration of automation, which generally led to a decrease in middle-income jobs with...

We study how new digital technology reshapes vocational training and skill acquisition and its impact on workers’ careers. We construct a novel database of legally binding training curricula and changes therein, spanning the near universe of vocational training in Germany over five decades,...

This paper investigates the impact of artificial intelligence (AI) on hiring and employment, using the universe of job postings published by the Swedish Public Employment Service from 2014-2022 and universal register data for Sweden. We construct a detailed measure of AI exposure according to...

This study compares the estimation errors of several present value discounting conventions (end-of-year, mid-year, and the more recently proposed harmonic mean convention) for a uniform distribution of intra-period cash flow - continuous and discrete. Our results show that the mid-year...

The employment to output elasticity has risen from 0.65 during the 1960s and 1970s to 1.25 in the last two decades. We study the role of recent technological change in the evolution of this elasticity along the business cycle. Using the Covid-19-induced shock and an instrumental variable...

This paper establishes that the rise in employer-provided training due to technological change has dampened the college wage premium. Using unique survey micro-data, I show that hightechnology firms provide more training overall, but the gap in training participation between high- and low-skill...

This paper investigates the impact of artificial intelligence (AI) adoption in production processes on workplace training practices, using firm-level data from the BIBB establishment panel on training and competence development (2019-2021). The findings reveal that AI adoption reduces the...