Firms employ a rich variety of pricing strategies whose implications for aggregate price dynamics often diverge. This situation poses a challenge for macroeconomists interested in bridging micro and macro price stickiness. In responding to this challenge, we note that differences in macro price...

Which investment model best fits firm-level data? To answer this question we estimate alternative models using Compustat data. Surprisingly, the two best-performing specifications are based on Hayashi's (1982) model. This model's foremost implication, that Q is a sufficient statistic for...

The best predictor of current investment at the firm level is lagged investment. This lagged-investment effect is empirically more important than the cash-flow and Q effects combined. We show that the specification of investment adjustment costs proposed by Christiano, Eichenbaum and Evans...

It is well known that the neoclassical model does not generate comovement among macroeconomic aggregates in response to news about future total factor productivity. We show that this problem is generally more severe in open economy versions of the neoclassical model. We present an open economy...

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...

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...

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....

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,...