This paper studies the importance of money for inflation in the euro area. An inflation equation is derived from a small model that combines the supply and demand for money with a Phillips curve and the assumption that inflation expectations develop adaptively. The model's solution attributes an...

Conventional wisdom says that commitment eliminates the inflationary bias of monetary policy. However, this paper shows that the inflation bias can persist even when the central bank commits. A simple model is presented in which the central bank precommits by setting the policy instrument, and...

The present paper uses survey data on expected consumer price developments to analyse the role of inflation expectations in the inflation process. The survey measures of price expectations are derived from the European Commission's Consumer Survey and from the surveys of professional experts...

This paper investigates the relevance of the sticky information model of Mankiw and Reis (2002) and Carroll (2003) for four major European economies (France, Germany, Italy and the United Kingdom). As opposed to the benchmark rational expectation models, households in the sticky information...

Survey data on household expectations of inflation are routinely used in economic analysis, yet it is not clear to what extent households are able to articulate their expectations in survey interviews. We propose an alternative approach to recovering households' implicit expectations of...

This paper is the first attempt to investigate the performance of different learning rules in fitting survey data of household and expert inflation expectations in five core European economies (France, Germany, Italy, Netherlands and Spain). Overall it is found that constant gain learning...

This paper is the first attempt to investigate the performance of different learning rules in fitting survey data of household and expert inflation expectations in five core European economies (France, Germany, Italy, Netherlands and Spain). Overall it is found that constant gain learning...