I am a senior research fellow at the Department of Economics of University College London and at The Alan Turing Institute. I enjoy studying problems that involve economic behavior and institutions. Currently, I am working on topics related to firm-labor dynamics, political behavior, economic development and inequality. My main interest lies in building models with explicit social mechanisms that can be used to inform policy. Usually, this involves computational simulations of multi-agent systems, complex networks and analysis of big data. My aim is to advance the computational social sciences and make them an integral part of the toolbox of every social scientist.

Contact:
oguerrero@turing.ac.uk
@guerrero_oa

SELECTED PAPERS

How do governments determine policy priorities? Studying development strategies through networked spillovers.

Uncovering Vote Trading Through Networks and Computation

Diffusing Workers in a Multiplex World

The Network Composition of Aggregate Unemployment

Understanding Unemployment in the Era of Big Data: Policy Informed by Data-Driven Theory

Labor Flows and the Aggregate Matching Function: A Network-Based Test Using Employer-Employee Matched Records

Employment Growth through Labor Flow Networks

Víctor L. Urquidi Prize in Economics

I am grateful to the outstanding Mexican social science and humanities research institute El Colegio de México for awarding me the Víctor L. Urquidi Economics Prize. Together with Professor Gonzalo Castañeda, I combine agent-based modelling, network science and behavioural economics to estimate government policy priorities. The latter has been identified as a challenging problem in Development Economics literature because, on one hand, development goals are multi-dimensional and, on the other, the policies to achieve them are not independent of each other. Find more in our latest pre-print.