We develop a dynamic microsimulation model to project the labor force and economic dependency ratios in the United States from 2022 to 2060, taking population projections and the large inequalities between population groups of different race/ethnicity and gender into account. We contrast policy...

This paper shows how to build algorithms that use graphics processing units (GPUs) installed in most modern computers to solve dynamic equilibrium models in economics. In particular, we rely on the compute unified device architecture (CUDA) of NVIDIA GPUs. We illustrate the power of the approach...

We evaluate whether hospital adoption of electronic medical records (EMRs) leads to increases in billing where financial gains are large or where hassle costs of complete coding are low. The 2007 Medicare payment reform varied both financial incentives and hassle costs of coding. We find no...

I reflect on the role of modern economic history in economics. I document a substantial increase in the percentage of papers devoted to economic history in the top-5 economic journals over the last few decades. I discuss how the study of the past has contributed to economics by providing ground...

In recent years, the renewed strength of immigration to the United States has sparked a debate about the economic effects of immigration. A central issue in this debate has been the fiscal impact of immigrants. Most research in this area has adopted a static, cross-section approach in assessing...

This paper investigates forecasts of U.S. inflation at the 12-month horizon. The starting point is the conventional unemployment rate Phillips curve, which is examined in a simulated out of sample forecasting framework. Inflation forecasts produced by the Phillips curve generally have been more...

We summarize the history of U.S. coal-fired plant retirements over the last decade, describe planned future retirements, and forecast the remaining operating life for every operating coal-fired generator. We summarize the technology and location trends that are correlated with the observed...

This paper quantifies the amount of noise and bias in analysts' forecast of corporate earnings at various horizons. We first show analyst forecasts outperform statistical forecasts at short-horizons, but underperform at longer horizons. We next decompose the relative accuracy of these forecasts...

We use discounted cash flow analysis to measure a country's fiscal capacity. Crucially, the discount rate applied to projected cash flows includes a GDP risk premium. We apply our valuation method to the CBO's projections for the U.S. federal government's deficit between 2022 and 2051 and debt...