This study looks at car data markets from an economic perspective. We start from several options for the technical characteristics of data access points that have been discussed among stakeholders in the automotive industry. We examine the structure of data markets that are likely to emerge from...

Digitization triggered a steep drop in the cost of information. The resulting data glut created a bottleneck because human cognitive capacity is unable to cope with large amounts of information. Artificial intelligence and machine learning (AI/ML) triggered a similar drop in the cost of...

A common finding from international research on firm productivity dynamics is that withinfirm productivity dynamics tend to dominate the effects of firm entry and exit on aggregate productivity. The aim of this paper is to explore the suitability of Statistics New Zealand's Business Demography...

We examine the hypothesis that flexible work organization involves greater skill requirements and, hence, an increased likelihood of receiving employer provided training. Using unique linked employer-employee data from Germany, we confirm that employees are more likely to receive training when...

Using German establishment data, this paper examines the relationship between product market competition and the extent of employer provided training. We demonstrate that high product market competition is associated with increased training except when the competition is so severe as to threaten...

We examine the hypothesis that flexible work organization involves greater skill requirements and, hence, an increased likelihood of receiving employer provided training. Using unique linked employer-employee data from Germany, we confirm that employees are more likely to receive training when...

We examine the hypothesis that flexible work organization involves greater skill requirements and, hence, an increased likelihood of receiving employer provided training. Using unique linked employer-employee data from Germany, we confirm that employees are more likely to receive training when...

We propose a new methodology for structural estimation of dynamic discrete choice models. We combine the Dynamic Programming (DP) solution algorithm with the Bayesian Markov Chain Monte Carlo algorithm into a single algorithm that solves the DP problem and estimates the parameters...

Corporate success often resembles a snowball. We show how initial luck in hiring talented people, the resulting technological advantage, superior corporate culture, and status-seeking by workers can make small initial differences generate large differences over time.