Handbook of Research Methods and Applications in Empirical Macroeconomics
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Handbook of Research Methods and Applications in Empirical Macroeconomics

Edited by Nigar Hashimzade and Michael A. Thornton

This comprehensive Handbook presents the current state of art in the theory and methodology of macroeconomic data analysis. It is intended as a reference for graduate students and researchers interested in exploring new methodologies, but can also be employed as a graduate text. The Handbook concentrates on the most important issues, models and techniques for research in macroeconomics, and highlights the core methodologies and their empirical application in an accessible manner. Each chapter is largely self-contained, whilst the comprehensive introduction provides an overview of the key statistical concepts and methods. All of the chapters include the essential references for each topic and provide a sound guide for further reading.
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Chapter 2: A review of econometric concepts and methods for empirical macroeconomics

Kerry Patterson and Michael A. Thornton


The aim of this chapter is to review some econometric terms and methods that are particularly useful for empirical macroeconomics. The technical level of the chapter assumes completion of an intermediate or good introductory course such as covered by, for example, Dougherty (2011) or Wooldridge (2011). Ideally, some knowledge of the linear regression model in matrix-vector notation would also be helpful, such as provided in Greene (2011). This chapter proceeds as follows. The starting point for the analysis of macroeconomic time series is univariate modelling, a classic case being Nelson and Plosser’s (1982) analysis of a number of macroeconomic time series to assess whether they were generated by unit root processes, a finding that would have implications not only for econometric analysis but, from a macroeconomic perspective, also for the persistence of shocks and the generation of the business cycle. There are two basic concepts that enable a better understanding of the framework of unit root tests, the first being that of a stochastic process and the second that of stationarity and non-stationarity, and these are outlined in sectio . Stationarity is a property related to the process generating the observable data of macroeconomic analysis, although one often finds a shorthand reference to the stationarity or non-stationarity of the data or of a particular time series.

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