In order to verify the effects of machine learning in a market structure, an evolutionary model containing firms that use a genetic algorithm to decide their investment in innovative R&D was developed. These firms share the market, with two other types of firms, those with a fixed rate of...

We study optimal contracts when R\&D is outsourced to another company. We find that, when a realistic assumption holds, the optimal contract always leads in equilibrium to the lowest acceptable chance of having a successful technical innovation, given announced compensations. This assumption is...

This paper uses an equilibrium matching framework to study jointly the optimal private provision of severance pay and the allocational and welfare consequences of government intervention in excess of private arrangements. Firms insure risk-averse workers by means of simple explicit employment...

The recent UNFCCC conferences starting with Bali in 2007 until Lima in 2014 have paved the way for the integration of nationally determined initiatives into the global climate governance architecture. National ‘green growth’ strategies have become a new paradigm for policymakers and...

This paper introduces a flexible method based on dynamic programming to calculate the quantitative value of any approach to managing the innovation process. The quantification lets managers precisely compare the values of different approaches, and so identify those that are optimised for their...