Gabriel Kreindler

Gabriel Kreindler is an Assistant Professor in the economics department at Harvard University. He completed his PhD in economics from Massachusetts Institute of Technology. His interests include urban transportation, technology and development, and diffusion of information and behaviour. His research projects include an experimental simulation of road congestion pricing in Delhi, and an analysis of urban commuting patterns using mobile phone transaction data from Sri Lanka. He has worked for various projects with the Abdul Latif Jameel Poverty Action Lab (J-PAL) and Innovations for Poverty Action (IPA) since 2011, in Morocco, Indonesia and India. He is a Research Fellow at the Sri Lanka based think tank LIRNEasia. He holds a Bachelor’s degree in mathematics from Princeton University and an M.Phil. in economics from the University of Oxford.

Content by Gabriel Kreindler
  • Project

    Safety in numbers? Free public transportation for women and women’s safety

    Delhi exhibits low female mobility rates, at the same time, public transport is a hostile environment for women due to widespread sexual harassment. About 89% of female university students in Delhi reported experiencing sexual harassment while travelling in the city. To improve mobility and indirectly improve safety, the Delhi government announced a policy to make bus...

    12 Nov 2020 | Dev Patel, Girija Borker, Gabriel Kreindler

  • Publication - Policy Brief

    Benefits and costs of road traffic congestion pricing: Evidence from Bangalore

    Chronic road traffic congestion is ubiquitous in developing countries. Congestion pricing is a theoretically appealing and technologically feasible policy, yet to date has not implemented in developing countries. This brief examines an experiment with congestion pricing pilot policies to learn how commuter change their driving behaviour due to charges, focusing on...

    28 Aug 2018 | Gabriel Kreindler, Esther Duflo, Benjamin Olken

  • Blog post

    Congestion pricing to solve peak-hour traffic jams? Not so fast!

    Evidence from Bangalore shows that congestion pricing is not as effective in reducing travel times as one might presume. Peak-hour pricing only marginally improved travel times, whilst also triggering schedule costs for commuters induced to change their travel times. Traffic congestion is a chronic problem in large cities across the world. Millions of urban commuters...

    6 Apr 2018 | Gabriel Kreindler

  • Publication - Working Paper

    Driving Delhi? Behavioural responses to driving restriction

    11 Nov 2016 | Gabriel Kreindler

  • Project

    Smart congestion pricing: Testing travel incentives to reduce congestion in Bangalore

    This project will use a novel data collection strategy using smartphones and a field experiment to provide evidence on traffic congestion inefficiencies in Bangalore, India. It will also evaluate policy levers to counter congestion using monetary incentives and information. Severe peak-time traffic congestion is endemic in large cities in developing countries, both on...

    8 Nov 2016 | Gabriel Kreindler, Esther Duflo, Benjamin Olken

  • Project

    The impact of short-term driving restrictions on mobility and traffic congestion in Delhi

    Driving restrictions based on license plate numbers are a popular yet little understood policy in large cities in developing countries. This project used high frequency surveys to measure how drivers responded to such a policy in Delhi. Delhi's Odd-Even policy proved effective in reducing traffic congestion. However, many drivers switched to other private...

    7 Apr 2016 | Esther Duflo, Gabriel Kreindler, Benjamin Olken

  • Blog post

    Driving Delhi: The impact of driving restrictions on driver behaviour

    In an attempt to address Delhi’s grave pollution problem, the state government experimented with a driving restrictions policy for a fortnight in January. Based on a phone survey of a sample of 614 drivers in the city, this column describes how the policy changed drivers’ behaviour in terms of labour supply, number of daily trips, travel modes, and satisfaction, between...

    11 Feb 2016 | Jasmine Shah, Gabriel Kreindler