This paper investigates the link between product quality and price setting for central processing units (CPUs). Using thousands of price quotes from a popular price-comparison website, we find that market fundamentals, such as the number of sellers, median price, share of convenient prices and...

This paper studies the effect of e-commerce on local labor markets. We exploit cross-market variation in e-commerce price advantage stemming from the enactment of the Amazon Tax-state-level legislation that mandates state sales taxes collection to out-of-state online retailers. Introducing...

This paper advocates the use of Internet data for social sciences with a special focus on human resources issues. It discusses the potentials and challenges of Internet data for social sciences and presents a selection of the relevant literature to establish the wide spectrum of topics, which...

We analyse consumers' search and purchase decisions on an Internet platform. Using a rich dataset on all adverts posted and transactions made on a major French Internet platform (PriceMinister), we show evidence of substantial price dispersion among adverts for the same product. We also show...

Can digital labour market platforms reduce search frictions in formal or informal labour markets? We study this question using a randomized experiment embedded in a tracer study of the work transitions of graduates from technical and vocational colleges in Mozambique. We implement an...

In this paper, we compare wages and labor market conditions of individuals engaged in online platform work and in traditional occupations by exploiting individual-level survey data on crowdworkers belonging to the largest micro-task marketplaces, focusing on evidence from the United States and...

Online labour platforms matching labour supply and demand are profoundly modifying the world of work. Businesses use them to outsource tasks to a world-wide pool of workers; while workers can access work opportunities transcending national boundaries. Increasingly, workers are located in...

Governments around the world want to develop their ICT and digital industries. Policymakers thus need a clear sense of the size and characteristics of digital businesses, but this is hard to do with conventional datasets and industry codes. This paper uses innovative "big data" resources to...

A statistical classification model was developed to identify online platform organizations based on the texts on their website. The model was subsequently used to identify all (potential) platform organizations with a website included in the Dutch Business Register. The empirical outcomes of the...