It has been well established for a long time that sticky prices are fundamental to our understanding of monetary policy. Indeed, sticky prices are a common micro-foundation in models of monetary policy and nominal aggregate fluctuations, as monetary variables typically do not have real economic effects if prices are fuly flexible. This is why price stickiness has been the focus of much research, both theoretical and empirical. A particularly exciting development in this literature has been the recent availability of large, detailed, micro data sets of individual prices, which allow us to observe when and how often the prices of individual goods and sevices change. This type of data has greatly improved our ability to discipline the theoretical models that are used to analyze monetary policy, and advances in sticky price modelling have also provided important questions to ask of the data. The most common data set used in this literature has been the micro data underlying the U.S. Consumer Price Index. While work with this data has produced important results, an important limitation is that it has, until recently, only been available going back to 1988. This is a limitation because it means that the data set only cover periods of low and stable inflation, which limits the types of questions that the price data can help answer.;In this dissertation, I present an extension to this data set: in work carried out with Emi Nakamura, Jon Steinsson and Patrick Sun, we re-constructed an older portion of the data to extend it back to 1977. With this new sample, we can study the high inflation periods of the late 1970's and early 1980's, and in this dissertation I explore various questions related to monetary policy, and show that several important insights can be gained from this new data set. (Abstract shortened by ProQuest.).
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