We consider a DSGE model in which firms follow one of four price-setting regimes: sticky prices, sticky-information, rule-of-thumb, or full-information flexible prices. The parameters of the model, including the fractions of each type of firm, are estimated by matching the moments of the...

We present a continuous time series on first cabin passenger fares for ocean travel from New York to the British Isles covering nearly a century of time. We discuss the conceptual and empirical difficulties of constructing such a time series, and examine the reasons for differences between the...

Reaching-for-yield--investors' propensity to buy riskier assets in order to achieve higher yields--is believed to be an important factor contributing to the credit cycle. This paper presents a detailed study of this phenomenon in the corporate bond market. We show that insurance companies, the...

Recordkeepers in DC pension plans are often paid indirectly in the form of revenue sharing from third-party funds on the menu. We show that these arrangements affect the investment menu of 401(k) plans. Revenue-sharing funds are more likely to be added to the menu and are less likely to be...

This paper presents stochastic simulation results pertaining to the performance of nominal income targeting, here represented as a monetary policy rule that sets quarterly values of an interest rate instrument in response to deviations on existing studies of nominal income growth from a...

Climate modelers have recognized the possibility of abrupt climate changes caused by a reorganization of the North Atlantic's current pattern (technically known as a thermohaline circulation collapse). This circulation system now warms north-western Europe and transports carbon dioxide to the...

We study a model of retrospective search in which an agent--a researcher, an online shopper, or a politician--tracks the value of a product. Discoveries beget discoveries and their observations are correlated over time, which we model using a Brownian motion. The agent, a standard exponential...

We propose a new method for solving high-dimensional dynamic programming problems and recursive competitive equilibria with a large (but finite) number of heterogeneous agents using deep learning. The "curse of dimensionality" is avoided due to four complementary techniques: (1) exploiting...

We study the optimal pattern of outlays for a single firm pursuing an R&D program over time. In the deterministic case, (a) the amount of progress required to complete the project is known, and (b) the relationship between outlays and progress is known. In this case, it is optimal to increase...

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...