Large literatures have analyzed racial and ethnic disparities in economic outcomes and access to the safety net. For such analyses that rely on survey data, it is crucial that survey accuracy does not vary by race and ethnicity. Otherwise, the observed disparities may be confounded by...

Recent research documents a causal impact of place on the long-run outcomes of children. However, little is known about which neighborhood characteristics are most important, and at what scale neighborhood effects operate. By using the random assignment of public housing along with...

In response to the COVID-19 pandemic two new timely poverty measures have been developed to monitor fast-changing economic conditions for the most deprived. The Han et al. near real-time poverty measure uses responses to a global income question on the Monthly Current Population Survey (CPS)...

Do non-traditional digital trace data and traditional survey data yield similar estimates of the impact of a cash transfer program? In a randomized controlled trial of Togo's COVID-19 Novissi program, endline survey data indicate positive treatment effects on beneficiary food security, mental...

Innovations in big data and algorithms are enabling new approaches to target interventions at scale. We compare the accuracy of three different systems for identifying the poor to receive benefit transfers -- proxy means-testing, nominations from community members, and an algorithmic approach...

Immigrants contribute disproportionately to entrepreneurship in many countries, accounting for a quarter of new employer businesses in the US. We review recent research on the measurement of immigrant entrepreneurship, the traits of immigrant founders, their economic impact, and policy levers....

I investigate the intra-household labor and resource allocation consequences of an employment guarantee targeting rural households in India. The guarantee insures household earnings, replacing women as added workers and shutting down a motive for saving. Despite sizable program-job take-up, the...

Thirty years ago, Nanak Kakwani provided elegant nonparametric formulae for the point elasticities of measures of poverty with respect to changes in the mean of the distribution of income, thus analytically linking the poverty measures to key macroeconomic aggregates. Numerous insights are found...

Community-based targeting, in which communities allocate social assistance using local information about who is poor, in experimental settings leads to nuanced allocations that reflect local concepts of poverty. What happens when it is scaled up, by either by making the stakes high, or by...

Many government social insurance policies have low take-up. To understand whether this is due to administrative barriers, information, or low valuation of the insurance, we study an unusual policy experiment in Thailand that offered a very large lump-sum incentive for informal workers in...