Computational methods to gauge investor sentiment from commonly used online data sources that rely on machine learning classifiers and lexicons have shown considerable promise, but suffer from measurement and classification errors. In our work, we develop a simple, direct and unambiguous...

This report provides an overview of the relevant economic research literature on platforms or multi-sided online markets. It discusses platforms from a regulatory policy angle, including potential market failures in platforms, the extent of self-regulation and possible regulatory responses...

The aim of this paper is to explain evidence of unfair practices by online platforms towards business users, particularly SME's. First, using survey data, we show that sellers operating with four different categories of platforms multi-home (marketplaces, app stores, social networks and online...

We extend the theory of tax incidence under Cournot-Nash oligopolistic competition to study the effects of an ad valorem sales tax on Web services (so-called Web Tax) that are provided free of charge to users, and produce advertising space sold to businesses. Ads are more valuable to advertisers...