Ranjit Lall

Associate Professor, Oxford

N4-3 St. John's College

St. Giles', Oxford

OX1 3JP

United Kingdom

I am an Associate Professor of International Political Economy and a Fellow of St. John’s College at the University of Oxford.

My research focuses on the political economy of international cooperation, development, and technological change. My forthcoming book Making International Institutions Work seeks to understand why some international institutions perform better than others. I also have methodological interests in machine learning and the analysis of missing data.

I received my PhD in Government from Harvard University and my BA in Philosophy, Politics, and Economics from the University of Oxford. I have received the Merze Tate Award for best dissertation in the field of international relations, law, and politics from the American Political Science Association and the Leamer-Rosenthal Prize for Open Social Science from the Berkeley Initiative for Transparency in the Social Sciences. Before beginning my graduate studies, I worked as an economist at the Bank of England and an editorial writer at the Financial Times.

news

Oct 14, 2023 New preprint: “Did COVID-19 Boost Populism? Evidence from Early Superspreader Events” (with Thomas Davidson and Felix Hagemeister)
Aug 17, 2023 My article “Making Global Governance Accountable: Civil Society, States, and the Politics of Reform” has been published online in the American Journal of Political Science
May 1, 2023 The book launch for Making International Institutions Work, featuring Joseph Stiglitz and Raj Chetty, will take place at 4.30PM on 16 May 2023 at Nuffield College, University of Oxford. Register for the event here!

selected publications

  1. AJPS
    Making Global Governance Accountable: Civil Society, States, and the Politics of Reform
    Lall, Ranjit
    American Journal of Political Science 2023
  2. JSS
    Efficient Multiple Imputation for Diverse Data in Python and R: MIDASpy and rMIDAS
    Lall, Ranjit, and Robinson, Thomas
    Journal of Statistical Software 2023