Christian Chacua

Christian Chacua
University of Bordeaux · College of Law, Political Science, Economics and Management

PhD Candidate in Economics | Growth Lab Associate

About

2
Publications
1,402
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Introduction
Christian is a Ph.D. candidate in Economics of Innovation at the University of Bordeaux (France) and a Growth Lab Associate at the Center for International Development - Harvard University (USA). His fields of interest cover economic complexity, economics of innovation and high-skilled migration. Currently, he is working on his Ph.D. thesis about the impact of high-skilled migration on the globalization of knowledge and innovation.
Additional affiliations
August 2020 - present
Harvard University
Position
  • Growth Lab Associate
Description
  • Growth Lab Associate at the Center for International Development - Harvard University (USA)
September 2019 - July 2020
Harvard University
Position
  • Fellow
Description
  • Visiting Fellow at the Center for International Development's Growth Lab - Harvard Kennedy School.
August 2018 - September 2018
World Intellectual Property Organization
Position
  • Intern at the Creative Economy Section
Education
September 2018 - August 2021
University of Bordeaux
Field of study
  • Economics of innovation
September 2016 - July 2018
University of Bordeaux
Field of study
  • Economics of Innovation
August 2009 - December 2013
Universidad del Valle (Colombia)
Field of study
  • Economics

Publications

Publications (2)
Preprint
Full-text available
In this paper we exploit a unique and rich dataset of patent applications and scientific publications in order to answer several questions concerned with two current phenomena on the way knowledge is produced and shared worldwide: its geographical spread at the international level and its spatial concentration in few worldwide geographical hotspots...
Thesis
Full-text available
En este trabajo se investiga el papel de los "intermediarios económicos" involucrados en las exportaciones colombianas. Se aplica un análisis dinámico de redes complejas en una muestra de datos a nivel de transacciones, para el periodo 2008-2012. Se sigue una metodología de Aprendizaje de Máquinas no supervisado para hallar patrones que emergen de...