We develop a two-sided multidimensional matching model of the market for CEOs that allows for both pecuniary and non-pecuniary (amenity) compensation. The model is estimated by maximum likelihood estimation using matched CEO-firm data from Denmark. We show that CEOs have preferences for building...

We develop a procedure for adjudicating between models of firm wage-setting conduct. Using data on workers' choice sets and decisions over real jobs from a U.S. job search platform, we first estimate workers' rankings over firms' non-wage amenities. We document three key findings: 1) On average,...

This paper studies the consequences of the buildup of a new economic sector the Norwegian petroleum industry on investment in human capital. We assess both short-term and long-term effects for a broad set of educational margins, by comparing individuals in regions exposed to the new sector with...

We examine the link between labour market developments and new technologies such as artificial intelligence (AI) and software in 16 European countries over the period 2011- 2019. Using data for occupations at the 3-digit level in Europe, we find that on average employment shares have increased...

Based on a unique survey and administrative employer-employee data, we show that the COVID-19 pandemic acted as a push factor for the diffusion of digital technologies in Germany. About two in three firms invested in digital technologies, in particular in hardware and software to enable...

We argue that skill-biased technological change not only affects wage gaps between skill groups, but also increases wage inequality within skill groups, across workers in different workplaces. Building on a heterogeneous firm framework with labor market frictions, we show that an industry-wide...

In this paper we report evidence on the relationship between trade openness, technology adoption and relative demand for skilled labour in the Turkish manufacturing sector, using firm-level data over the period 1980-2001. In a dynamic panel data setting using a unique database of 17,462 firms,...