In this paper we evaluate the effects of a regional experiment that reduced payroll-taxes by 3–6 percentage points for three years in Northern Finland. We match each firm in the target region with a similar firm in the control region and estimate the effect of the payroll-tax reduction by...

We unbox developments in artificial intelligence (AI) to estimate how exposure to these developments affect firm-level labour demand, using detailed register data from Denmark, Portugal and Sweden over two decades. Based on data on AI capabilities and occupational work content, We develop and...

Using a Difference-in-Differences approach we evaluate the effects of a 10 percentage points reduction in the payroll tax introduced in 2002 for firms in the northern part of Sweden. We find no employment effects for existing firms and can rule out that a 1 percentage point payroll tax reduction...

We examine the matching process using monthly panel data for local labour markets in Sweden. We find that an increase in the number of vacancies has a very weak effect on the number of unemployed workers being hired: unemployed workers appear to be unable to compete for many available jobs....

Indian manufacturers have invested significantly in technology upgradations since the economy opened up to foreign trade and technology in the mid-1980s. In this paper, we examine the impact of technology on employment and skill demand within the Indian manufacturing sector. Estimating a dynamic...

This paper presents a model where wage differences between men and women arise from taste-based discrimination and monopsonistic mechanisms. We show how preferences against women affect heterogeneity in firms' pay policies in the context of an imperfect labour market, deriving a test for the...

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 paper investigates the economic and societal impacts of Artificial Intelligence (AI) in the public sector, focusing on its potential to enhance productivity and mitigate labour shortages. Employing detailed administrative data and novel occupational exposure measures, we simulate future...

In this paper, we address the issue of spurious correlation in the production of health in a systematic way. Spurious correlation entails the risk of linking health status to medical (and nonmedical) inputs when no links exist. This note first presents the bounds testing procedure as a method to...

We bring together some recent advances in the literature on vector autoregressive moving-average models creating a relatively simple specification and estimation strategy for the cointegrated case. We show that in the cointegrated case with fixed initial values there exists a so-called final...