We explore the business cycle implications of expectation shocks and of two well-known psychological biases, optimism and overconfidence. The expectations of optimistic agents are biased toward good outcomes, while overconfident agents overestimate the precision of the signals that they receive....

Aggregate and sectoral comovement are central features of business cycle data. Therefore, the ability to generate comovement is a natural litmus test for macroeconomic models. But it is a test that most existing models fail. In this paper we propose a unified model that generates both aggregate...

In this paper we investigate the consequences of demographic change for business cycle analysis. We find that changes in the age composition of the labor force account for a significant fraction of the variation in business cycle volatility observed in the US and other G7 economies. During the...

In this paper we propose a model that generates an expansion in response to good news about future total factor productivity (TFP) or investment-specific technical change. The model has three key elements: variable capital utilization, adjustment costs to investment, and preferences that exhibit...

We assess the importance of nominal rigidities using a new weekly scanner data set from a major U.S. retailer, that contains information on prices, quantities, and costs for over 1,000 stores. We find that nominal rigidities are important but do not take the form of sticky prices. Instead,...

We explore the business cycle implications of expectation shocks and of two well-known psychological biases, optimismand overconfidence. The expectations of optimistic agents are biased toward good outcomes, whereas overconfident agentsoverestimate the precision of the signals that they receive....

We propose a model that generates an economic expansion in response to good news about future total factor productivity (TFP) or investment-specific technical change. The model has three key elements: variable capital utilization, adjustment costs to investment, and preferences that exhibit a...

Aggregate and sectoral comovement are central features of business cycle data. Therefore, the ability to generate comovement is a natural litmus test for macroeconomic models. But it is a test that most existing models fail. In this paper we propose a unified model that generates both aggregate...

We assess the importance of nominal rigidities using a new weekly scanner data set. We find that nominal rigidities are important but do not take the form of sticky prices. Instead, they take the form of inertia in reference prices and costs, defined as the most common prices and costs within a...