Federico Lenzi

Content by Federico Lenzi
  • Publication - Policy Brief

    Subnational income, convergence, and the COVID-19 pandemic

    This brief investigates the effects of the COVID-19 pandemic on gross national income in Pakistan and its districts. To address the lack of available data, we developed a machine-learning algorithm that can predict economy activity in real time by leveraging administrative, night-light, and other real-time data. Urban districts in Pakistan drove the slow-down in...

    8 Nov 2021 | Ali Choudhary, Ijlal Haqqani, Federico Lenzi, Nicola Limodio

  • Publication - Project Report

    Subnational income, convergence, and the COVID-19 pandemic

    The COVID-19 pandemic severely affected the growth and subnational distribution of income in low-income countries. To understand these effects, we produce monthly aggregates on gross national income (GNI) for 147 Pakistani districts through real-time data and machine learning between 2012 and 2021. Three findings emerge from our analysis. First, urban districts...

    25 Oct 2021 | Ali Choudhary, Ijlal Haqqani, Federico Lenzi, Nicola Limodio