Two often-divergent U.S. GDP estimates are available, a widely-used expenditure-side version GDPE, and a much less widely-used income-side version GDI . The authors propose and explore a "forecast combination" approach to combining them. They then put the theory to work, producing a superior...

The authors examine the optimal labor market-policy mix over the business cycle. In a search and matching model with risk-averse workers, endogenous hiring and separation, and unobservable search effort they first show how to decentralize the constrained-efficient allocation. This can be...

First Draft: November 1, 2011 We propose a theory of endogenous firm-level volatility over the business cycle based on endogenous market exposure. Firms that reach a larger number of markets diversify market-specific demand risk at a cost. The model is driven only by total factor productivity...

Worker flows and job flows behave differently over the business cycle. The authors investigate the sources of the differences by studying quantitative properties of a multiple-worker version of the search/matching model that features endogenous job separation and intra-firm wage bargaining....

Inference about common international stochastic trends and interest rates is gained using a small open economy model, data from seven developed countries, and Bayesian methods. Shocks to these common factors explain up to 17 percent of the variability of output in several economies....

This paper attempts to quantify business cycle effects of bank capital requirements. The authors use a general equilibrium model in which financing of capital goods production is subject to an agency problem. At the center of this problem is the interaction between entrepreneurs' moral hazard...

The author introduces risk-averse preferences, labor-leisure choice, capital, individual productivity shocks, and market incompleteness to the standard Mortensen-Pissarides model of search and matching and explore the model's cyclical properties. There are four main findings. First and foremost,...