The Effects of Monetary Policy “News” and “Surprises”

There is substantial agreement in the monetary policy literature over the effects of exogenous monetary policy shocks. The shocks that are investigated, however, almost exclusively represent unanticipated changes in policy, which surprise the private sector and which are typically found to have a delayed and sluggish effect on output. In this paper, we estimate a New Keynesian model that incorporates news about future policies to try to disentangle the anticipated and unanticipated components of policy shocks. The paper shows that the conventional estimates confound two distinct effects on output: an effect due to unanticipated or “surprise” shocks, which is smaller and more short‐lived than the response usually obtained in the literature, and a large, delayed, and persistent effect due to anticipated policy shocks or “news.” News shocks play a larger role in influencing the business cycle than unanticipated policy shocks, although the overall fraction of economic fluctuations that can be attributed to monetary policy remains limited.     

The Role of Durables Replacement and Second‐Hand Markets in a Business‐Cycle Model

Transactions of used durables are large and cyclical, but their interaction with purchases of new durables has been neglected in business‐cycle studies. I fill this gap by introducing a new business‐cycle model of consumer durables where households resell their goods on the second‐hand market and the production of new durables is affected by the supply of used goods. The model delivers three conclusions: Markups are smaller for goods that are more durable and more frequently replaced; markups are countercyclical for durables, resolving the comovement puzzle of Barsky, House, and Kimball (2007); and procyclical replacement demand amplifies durables spending.     

Microdata Evidence on the Empirical Importance of Selection Effects in Menu‐Cost Models

We use microdata on product prices linked to information on the producing firms that set them to study to what extent the timing of price changes reacts to changes in marginal cost. This self‐selection of price changes is a key feature in the canonical Menu‐Cost model a la Golosov and Lucas Jr. (2007), which may generate near monetary neutrality (Golosov and Lucas Jr. 2007, Karadi and Reiff 2016), but is absent in the Calvo (1983) model. We find that the microdata strongly favors the Calvo (1983) model. Thus, upstream in the supply chain, price setting is best characterized by a very low degree of self‐selection into price changes.