The US government is the dominant supplier of global safe assets and faces a downward sloping demand for its debt. In this paper, we ask if the US exercises its market power when issuing debt, and we study its macroeconomic consequences. We develop a model of the global economy in which US public debt generates a nonpecuniary value for its holders, analyze the equilibrium in which the US government is themonopoly provider of this safe asset, and contrast this casewith the one inwhich the US government acts as a price taker. We use variation in estimated demand elasticities for US debt during highand low-volatility regimes to empirically distinguish between these two models and find that the data reject the price-taking behavior in favor of the monopoly one. We then quantify the distortions due to market power and find that it generates a significant underprovision of safe assets, a sizable markup in the convenience yield, and large welfare benefits for the US to the detriment of the rest of the world. Finally, we study the implications of increasing competition in safe assets from other sovereigns and private institutions. ∗Aprevious draft of this paper circulated under the title “TheMacroeconomic Implications of USMarket Power in Safe Assets.” We thank Manuel Amador, Andy Atkeson, Anmol Bhandari, V. V. Chari, Chris Conlon, Marco Duarte, Simon Gilchrist, Oleg Itskhoki, Rohan Kekre, Arvind Krishnamurthy, Zhengyang Jiang, Ricardo Lagos, Hyunju Lee, Hanno Lustig, Matteo Maggiori, Lorenzo Magnolfi, Dmitry Mukhin, Chris Sullivan, and Venky Venkateswaran, as well as numerous seminar and conference participants, for helpful comments and suggestions. We also thank Duong Dang for superb research assistance.

This paper investigates the weekly evolution of skills as measured by unique data from a widely-emulated early childhood home-visiting program in rural China. The design of the study avoids input endogeneity issues and lack of comparable measures of skills that plague previous studies. Skills, nominally classified as the same, in fact, do not appear to share a common unit scale across levels. They are produced by skill-lifecycle-stage-specific learning processes. A novel dynamic stochastic skill production model for multiple skills is developed, aligning with empirical evidence. The model explains the "fadeout" of measures of learning through forgetting or depreciation of skills.

This paper examines the nature of entrepreneurship using a novel panel dataset based on US Internal Revenue Service data. We analyze income growth trajectories and the determinants of entrepreneurial choice for business owners. Compared with prior household survey–based studies, we find that self-employed individuals have significantly higher average incomes and steeper income growth than their wage-earning matched peers. Contrary to survey evidence, we find a limited role for nonpecuniary motives, uninsurable risk, and liquidity constraints driving entrepreneurial choice. Prior work experience predicts entrepreneurial entry. Entry and exit rates into self-employment remain stable over time, including during the Great Recession.

The measurement of intelligence should identify and measure an individual’s subjective confidence that a response to a test question is correct. Existing measures do not do that, nor do they use extrinsic financial incentive for truthful responses. We rectify both issues and show that each matters for the measurement of intelligence, particularly for women. Our results on gender and confidence in the face of risk have wider applications in terms of the measurement of “competitiveness” and financial literacy. Contrary to received literature, women are more intelligent than men, compete when they should in risky settings, and are more literate.