Research

Working Papers

• "How Large are the Environmental Benefits of Sustainable Agriculture? Evidence from Mexico"

  with Bram Govaerts

  Sustainable agricultural intensification, or increasing agricultural productivity while limiting environmental impacts, has recently been promoted as an approach to feeding the world's rapidly growing population without over-exploiting natural resources. However, little is known about the environmental benefits of sustainable production technologies as employed by smallholders. We study the diffusion of conservation agriculture, a collection of sustainable agriculture techniques which aims to improve soil health and has been associated with reduced air pollution in recent research, throughout the Mexican countryside. Starting in 2012, conservation agriculture was promoted by a large-scale extension effort which reached almost 250,000 plots by 2019. We combine measures of adoption induced by extension activities with exogenous wind variation to estimate the causal effect of conservation agriculture on infant mortality in downwind urban localities. We estimate that an urban locality that spends an additional month downwind from a 0.1° x 0.1°grid cell that has adopted conservation agriculture experiences a 1.3% reduction in the number of infant deaths. These health benefits seem to be driven by reductions in air pollution during the main planting and harvest periods, precisely when conservation agriculture would be expected to have the greatest air quality benefits. We assess the profitability of conservation agriculture adoption using data collected from farmers employing it on a plot alongside a business-as-usual plot, finding that the benefits are small but noisy relative to other technologies promoted via extension. A back of the envelope calculation estimates the extension effort's benefits in terms of lives saved to be over 33 times its costs, suggesting that the positive environmental externalities of sustainable agriculture are potentially very large. Finally, we explore one potential mechanism for the reduction in infant mortality: agricultural burning. Locations that adopt conservation agriculture see reductions in agricultural burning during the main planting and harvest periods, providing at least a partial explanation for the estimated air quality improvements.

• "Irrigation Infrastructure and Satellite-Measured Land Use Impacts: Evidence from the Senegal River Valley" R&R @ Journal of Development Economics

  with Abdoulaye Cissé, Alain de Janvry, Marco Gonzalez-Navarro, Samba Mbaye, Elisabeth Sadoulet, and Mame Mor Anta Syll

  Increasing the extent of irrigation in sub-Saharan Africa is a potential approach to closing yield gaps and improving resilience to climate change. Using over 3,000 satellite images spanning more than 30 years, we show that development of irrigation infrastructure in the Senegal River Valley has led to a large increase in average cultivation rates: a sixfold increase from 4 to 24 percentage points in the non-rainy season and a tripling from 10 to 30 percentage points cultivated in the rainy season. In spite of this substantial increase in cultivation rates, we find widespread heterogeneity across projects, with 1/4 of total irrigated area remaining unused as of 2019. We provide farmer survey evidence that limited access to water remains a major constraint on production and that removing this constraint requires action beyond individual farmers.

• "Reassessing China's Rural Reforms: The View from Outer Space"

  with Oliver Kim

  We study one of the central reforms in China’s economic miracle, the Household Responsibility System (HRS), which decollectivized agriculture starting in 1978. The HRS is commonly seen as having significantly boosted agricultural productivity—but this conclusion rests on unreliable official data. We use historical satellite imagery to generate new measurements of grain yield, independent of official Chinese statistics. Using two separate empirical designs that exploit the staggered rollout of the HRS across provinces and counties, we find no causal evidence that areas that adopted the HRS sooner experienced faster grain yield growth. These results challenge our conventional understanding of decollectivization, land reform, and the origins of the Chinese miracle.

Published

• "New Evidence on the Economics of Climate and Conflict" Forthcoming in The Handbook on the Economics of Conflict

  with Marshall Burke, Solomon Hsiang, and Edward Miguel

  Press Coverage: Axios

  This chapter surveys the quantitative research literature linking climate and conflict, a body of research that spans multiple academic disciplines and has roughly doubled in size in the last decade. It makes three main contributions. First, we carry out a meta-analysis - updating Hsiang et al (2013) and Burke et al (2015) with a far larger sample - and confirm that extreme climate is associated with elevated risk of inter-group conflict, intra-personal violence, and self-harm. The estimated average effects are smaller than the earlier estimates, although they remain meaningful in magnitude and highly statistically significant. Second, we present a methodological discussion and empirical illustration of how the use of data at different spatial and temporal scales can affect these results. Third, we discuss specific studies that present evidence on the mechanisms underlying this relationship including: (1) economic conditions, income, and agricultural productivity; (2) socio-demographic factors; (3) migration and transportation costs; (4) policy, politics and institutions; and (5) psychological and physiological factors. The chapter concludes with a discussion of policy implications and some open questions.

• "Will Wealth Weaken Weather Wars? AEA: Papers and Proceedings, 2024

  with Marshall Burke, Solomon Hsiang, and Edward Miguel

  This study estimates the moderating impact of economic development on climate-conflict linkages during 1989–2019 in Africa, the world region that in recent decades has experienced the most armed conflict. We build a spatially disaggregated dataset that merges multiple decades of georeferenced data on climate shocks and conflict events with both local- and national-level measures of economic development to help shed light on the relative importance of local opportunity costs versus state capacity. We find that higher national GDP per capita greatly dampens the conflict risk associated with higher temperatures, suggesting that enhanced state capacity is a key factor.

• "Survey of open science practices and attitudes in the social sciences" Nature Communications, 2023

  with Rebecca Littman, Garret Christensen, Elizabeth Levy Paluck, Nicholas Swanson, Zenan Wang, Edward Miguel, David Birke, and John-Henry Pezzuto

  Open science practices such as posting data or code and pre-registering analyses are increasingly prescribed and debated in the applied sciences, but the actual popularity and lifetime usage of these practices remain unknown. This study provides an assessment of attitudes toward, use of, and perceived norms regarding open science practices from a sample of authors published in top-10 (most-cited) journals and PhD students in top-20 ranked North American departments from four major social science disciplines: economics, political science, psychology, and sociology. We observe largely favorable private attitudes toward widespread lifetime usage (meaning that a researcher has used a particular practice at least once) of open science practices. As of 2020, nearly 90% of scholars had ever used at least one such practice. Support for posting data or code online is higher (88% overall support and nearly at the ceiling in some fields) than support for pre-registration (58% overall). With respect to norms, there is evidence that the scholars in our sample appear to underestimate the use of open science practices in their field. We also document that the reported lifetime prevalence of open science practices increased from 49% in 2010 to 87% a decade later.

• "Incorporating High-Frequency Weather Data into Consumption Expenditure Predictions" NeurIPS ML4D 2021

  with Anders Christensen and Simón Ramírez Amaya

  Recent efforts have been very successful in accurately mapping welfare in data-sparse regions of the world using satellite imagery and other non-traditional data sources. However, the literature to date has focused on predicting a particular class of welfare measures, asset indices, which are relatively insensitive to short-term fluctuations in well-being. We suggest that predicting more volatile welfare measures, such as consumption expenditure, substantially benefits from the incorporation of data sources with high temporal resolution. By incorporating daily weather data into training and prediction, we improve consumption prediction accuracy significantly compared to models that only utilize satellite imagery.

• "Marketing and Technology Adoption and Diffusion" Applied Economics: Perspectives and Policy, 2020

  with Amir Heiman and David Zilberman

  Applied economists have investigated individual adoption choices as wellas diffusion (aggregate adoption). The emphasis, however, has been on adopters’ behavior and risk associated with production and markets. Marketing also considersbroader aspects and marketers develop tools to address risk related to thefit of a product, its performance, and its reliability. This paper expands the economic literature onadoption by analyzing and assessing the implications of the choice of marketing tools, like money-back guarantees, demonstrations, and others, by marketers. The analysisis based on the threshold model of diffusion, which recognizes heterogeneity and dynamics. We provide evidence and examples from agriculture.

Work in Progress

• "A High-Resolution Look at Long-Run Development: Evidence from 1.3 Million Historical Photographs" with The Aerial History Project Team

  Press Coverage: E&E News

• "Downscaling Aggregate Maize Yields Using Satellite Imagery and Machine Learning" with James E. Sayre and Kangogo Sogomo

• "Conflict and Agricultural Land Abandonment in Africa"

• "Markets and Climate Change Adaptation: Evidence from Minnesota and Wisconsin Farmland Transactions"