scispace - formally typeset
M

Mireia Jofre-Bonet

Researcher at City University London

Publications -  75
Citations -  2158

Mireia Jofre-Bonet is an academic researcher from City University London. The author has contributed to research in topics: Health care & Population. The author has an hindex of 22, co-authored 68 publications receiving 1983 citations. Previous affiliations of Mireia Jofre-Bonet include London School of Economics and Political Science & Yale University.

Papers
More filters
Posted Content

Estimation of a Dynamic Auction Game

TL;DR: This paper applies the estimation method to repeated highway construction procurement auctions in the state of California between May 1996 and May 1999 and quantifies the effect of intertemporal constraints on bidders' costs and on bids.
Journal ArticleDOI

Estimation of a dynamic auction game

TL;DR: In this article, an estimation method for a repeated auction game under the presence of capacity constraints is proposed, which is computationally simple as it does not require solving for the equilibrium of the game.
Journal ArticleDOI

The double-edged sword of industry collaboration: Evidence from engineering academics in the UK

TL;DR: In this article, the impact of university-industry collaboration on academic research output is studied. But the authors focus on the channels through which the degree of industry collaboration may affect research output.
Journal ArticleDOI

Cost-effectiveness analysis of addiction treatment: paradoxes of multiple outcomes

TL;DR: The challenges of conducting cost-effectiveness analysis (CEA) of addiction treatments given the multiple important outcomes of substance abuse treatment (SAT) are identified and multiple outcomes should be considered in any economic analysis of addiction treatment.
Journal ArticleDOI

Bidding behavior in a repeated procurement auction: A summary

TL;DR: In this article, the authors consider a dynamic bidding model that takes into account the presence of inter-temporal constraints such as capacity constraints in a repeated procurement auction setting and estimate the model non-parametrically.