The buzzword in industrial policy and innovation policy circles is mission-oriented innovation policy (MOIP) -which means a policy to encourage innovation intended to accomplish a certain missionwhether it be a societal challenge (climate change, global he ...
This thesis consists of three applications of machine learning techniques to empirical asset pricing.
In the first part, which is co-authored work with Oksana Bashchenko, we develop a new method that detects jumps nonparametrically in financial time series ...
This dissertation studies the relationship between immigration and innovation. It adopts an empirical perspective and focuses on Switzerland, combining the use of patent data and immigration administrative records.The first essay is based on a novel dat ...
This study provides the first quantification of buyers' role in the outcome of R&D procurement contracts. We combine together four data sources on US federal R&D contracts, follow-on patented inventions, federal public workforce characteristics, and percep ...
Modern patent systems are slow, inefficient, expensive, and may result in outcomes that actively harm technological progress. This paper proposes a substantive re-think of these systems and lays a foundation upon which practical solutions can be built. Man ...
The quality of novel technological innovations is extremely variable, and the ability to measure innovation quality is essential to sensible, evidence-based policy. Patents, an often vital precursor to a commercialised innovation, share this heterogeneous ...
The United States patent system is unique in that it requires applicants to cite documents they know to be relevant to the examination of their patent applications. Lampe (2012) presents evidence that applicants strategically withhold 21-33% of relevant ci ...
We present a general method for imputing missing information in the Worldwide Patent Statistical Database (PATSTAT) and make the resulting datasets publicly available. The PATSTAT database is the de facto standard for academic research using patent data. C ...
We propose a framework to find optimal price-based policies to regulate markets characterized by oligopolistic competition and in which consumers make a discrete choice among a finite set of alternatives. The framework accommodates general discrete choice ...
