"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 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...

We study a model in which the effects of taxation on growth are highly non-linear. Marginal increases in tax rates have a small growth impact when tax rates are low or moderate. When tax rates are high, further tax hikes have a large, negative impact on growth performance. We argue that this...

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 study the impact on the skill premium of increases in the quality of goods consumed by households ("trading up"). Our empirical work shows that high- quality goods are more intensive in skilled labor than low-quality goods and that household spending on high-quality goods rises with income....

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 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...