Category

Measurement

 

Toward Real-Time Measures of Poverty and Vulnerability

In a recent piece in the New York Times, Harvard economist Sendhil Mullainathan asks the question, “Why should the financial services industry,...
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Measuring Human Development with Remote Sensing and Machine Learning

In many developing country environments, it is difficult or impossible to obtain recent, reliable estimates of human development. Nationally representative household surveys,...
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Migration and the value of social networks

What is the value of a social network? Prior work suggests two distinct mechanisms that have historically been difficult to differentiate: as...
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Spectral Models of Security

The rapid proliferation of mobile phones and other digital devices can created an unparalleled opportunity to observe and understand the rapidly changing...
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Predicting Poverty and Wealth with Mobile Phone Metadata

Accurate and timely estimates of population characteristics are a critical input to social and economic research and policy. In industrialized economies, novel...
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How Do Labor Markets Equilibrate? Estimating the Effect of Local Labor Demand Shocks on Internal Migration and Local Wages

A central question in the study of migration concerns the role that migrants play in bringing an economy towards a more efficient use of its resources...
 

Measuring Migration with Large-Scale Behavioral Data

Understanding the causes and effects of internal migration is critical to the effective design and implementation of policies that promote human development....
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Violence and Financial Decisions: Evidence from Mobile Money in Afghanistan

We examine the relationship between violence and financial decisions in Afghanistan. Using three separate data sources, we find that individuals experiencing violence...
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A Society of “Silent Separation”: Migration and Ethnic Segregation in Estonia

Ethnic segregation is a striking feature of many contemporary societies.  Yet, due in part to constraints of existing data, empirical efforts to...
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Probabilistic Inference of Unknown Locations: Exploiting Collective Behavior when Individual Data is Scarce

New sources of large-scale geospatial data can inform policy decisions ranging from disease monitoring and city planning to disaster management and humanitarian...
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