Dr Aldo Elizalde

  • Research Fellow (Economics)

email: Aldo.Elizalde@glasgow.ac.uk

College of Social Sciences, Adam Smith Business School, Gilbert Scott Building, Glasgow, G12 8QQ

ORCID iDhttps://orcid.org/0000-0003-4098-3390


Aldo Elizalde joined the Adam Smith Business School on a prestigious British Academy Post-Doctoral Fellowship in December 2017. As the Principal Investigator, Aldo is leading research on the political economy of ethnic institutions and their long-run economic consequences in Latin America. 

Before joining the School, Aldo worked as a Research Associate at the MRC/CSO Social and Public Health Sciences Unit, within the Institute of Health and Wellbeing at the University. In this post, Aldo led the statistical analysis of a major National Institute for Health Research (NIHR) funded project called 'Woods In and Around Towns Programme (WIAT). This project generated high impact empirical evidence in relation to the causal effects of environmental interventions on people’s mental health outcomes. He has also held consultancy posts with the Institute of Education, Community and Society at the University of Edinburgh.

Aldo completed his PhD in Economics at the University of Glasgow and also holds a MSc in Economic Development from the same university. Prior to this Aldo earned a BA in International Relations from the National Autonomous University of Mexico before pursuing a varied career within the Mexican Civil Service.

Research interests

Areas of expertise:

  • Political economy
  • Development economics
  • Economic history
  • Public health


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British Academy Postdoctoral Fellowship

Project title: “Land Reforms, Ethnic Groups, and Long-Run Development in Latin America: A Case Study of Mexico”. Total value: £313,536.


MSc Growth and Development 

Additional information

Working papers

Elizalde, Aldo, On the Economic Effects of Indigenous Institutions: Evidence from Mexico (April 30, 2019). Available at SSRN

Work in progress

Do ethnic institutions determine state capacity? Evidence from a natural experiment, with Eduardo Hidalgo and Nayeli Salgado.

Towards the automation of assembling and analysing digitised historical data: A deep learning approach, with Charalampos Stasinakis and Andres Azqueta-Gavaldon.

Evaluating the health impacts of welfare reforms in the UK using ‘natural policy experiments’, with Vittal Katikireddi. Peter Craig, and Frank Popham