We study the gains from trade in a model with oligopolistic competition, heterogeneous firms and innovation, and provide a formula to decompose the mechanism. The new insight we provide is that market concentration can be a welfare-relevant feature of market power above and beyond markup...

Two types of agents interact on a pre-existing free platform. Agents value positively the presence of agents of the other type but may value negatively the presence of agents of their own type. We ask whether a new platform can find fees and subsidies so as to divert agents from the existing...

This paper is based on the model of backward linkages from foreign direct investment (FDI) Lin/Saggi (2003), where the market structure of the final goods sector is represented by a monopoly or Cournot oligopoly, and the supplier sector - by a pure monopoly. We extend this model by examining...

Using annual data on nine manufacturing sectors of eighteen OECD countries, the article studies the implications of market structure for cross-country relative price variability. It is found that, in accordance with predictions from a standard markup pricing model, reductions in market...

In the past several decades, the U.S. economy has witnessed a number of striking trends that indicate a rising market concentration and a slowdown in business dynamism. In this paper, we make an attempt to understand potential common forces behind these empirical regularities through the lens of...

We embed a North-South trade model into an incomplete contracts setting where the production of heterogeneous firms can be geographically separated. When a Northern headquarter contracts with a Southern supplier instead of a Northern supplier, the presence of international incomplete contracts...

The Norwegian Tax Administration operated multi-year random audits of personal income tax returns. We exploit this exceptional randomized setup to estimate the effects of tax audits on future compliance explicitly distinguishing between dynamic responses of compliant and noncompliant audited...

Tax administrations use machine learning to predict risk scores as a basis for selecting individual taxpayers for audit. Audits detect noncompliance immediately, but may also alter future filing behavior. This analysis is the first to estimate compliance effects of audits among high-risk wage...