I examine the specialization of US commuting zones in AI-related occupations over the 2000 to 2018 period. I define AI-related jobs based on keywords in Census occupational titles. Using the approach in Lin (2011) to identify new work, I measure job growth related to AI by weighting employment...

We examine respondents in the Health and Retirement Study (HRS) to observe how their financial situations unfolded as they aged. We focus on low income older adults and follow them over time to identify the factors associated with having low income at baseline and thereafter. We find that (a)...

Abstract We evaluate the duration of the China trade shock and its impact on a wide range of outcomes over the period 2000 to 2019. The shock plateaued in 2010, enabling analysis of its effects for nearly a decade past its culmination. Adverse impacts of import competition on manufacturing...

Job choice by high-skilled foreign-born workers in the US correlates strongly with country of origin. We apply a Frechet-Roy model of occupational choice to evaluate the causes of immigrant sorting. In a gravity specification, we find that revealed comparative advantage in the US is stronger for...

We develop a dynamic spatial general equilibrium model with forward-looking investment and migration decisions. We characterize analytically the transition path of the spatial distribution of economic activity in response to shocks. We apply our framework to the reallocation of US economic...

Using responses obtained through the Nielsen Homescan panel survey, we explore the differences between managers' and non-managers' expectations and perceptions of inflation and unemployment. By and large, managers and non-managers exhibit similar average inflation and unemployment expectations...

As the pandemic spread across the U.S., disagreement among U.S. households about inflation expectations surged along with the mean perceived and expected level of inflation. Simultaneously, the inflation experienced by households became more dispersed. Using matched micro data on spending of...

In response to the record-breaking COVID19 recession, many governments have adopted unprecedented fiscal stimuli. While countercyclical fiscal policy is effective in fighting conventional recessions, little is known about the effectiveness of fiscal policy in the current environment with...

We apply deep learning to daytime satellite imagery to predict changes in income and population at high spatial resolution in US data. For grid cells with lateral dimensions of 1.2km and 2.4km (where the average US county has dimension of 55.6km), our model predictions achieve R2 values of 0.85...

We experimentally study individuals' perceptions about and advice to others regarding retirement savings and annuitization during the pandemic. Many people recommend that others save more for retirement, but those most affected by the pandemic tell others to save and annuitize less. We...