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)...

This paper addresses the economic impact of the COVID-19 pandemic by providing timely and accurate information on the impact of the current pandemic on income and poverty to inform the targeting of resources to those most affected and assess the success of current efforts. We construct new...

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...

Intro -- Contents -- Acknowledgments -- Introduction / Ajay Agrawal, Joshua Gans, and Avi Goldfarb -- I. AI as a GPT -- 1. Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics / Erik Brynjolfsson, Daniel Rock, and Chad Syverson, Comment: Rebecca...

The benefits of new technologies accrue not only to high-skilled labor but also to owners of capital in the form of higher capital incomes. This increases inequality. To make this argument, we develop a tractable theory that links technology to the personal income and wealth distributions - and...

In recent decades, the US wage structure has been transformed by a rising college premium, a narrowing gender gap, and increasing persistent and transitory residual wage dispersion. This paper explores the implications of these changes for cross-sectional inequality in hours worked, earnings and...

This paper investigates how material well-being has changed over time for those at the bottom of the distributions of income and consumption. We document the sharp differences between recent trends in measured income and consumption, focusing on families headed by a single mother. Since the...

This paper uses factor models to identify and estimate distributions of counterfactuals. We extend LISREL frameworks to a dynamic treatment effect setting, extending matching to account for unobserved conditioning variables. Using these models, we can identify all pairwise and joint treatment...

This paper builds a single model that can be used to show efficiency and distributional effects of eight different types of environmental policies (including taxes, subsidies, regulations, permits, and legal liability). All eight approaches can be designed to have the same efficiency effects,...