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In particular, chapter 1 presents basic time series and probability concepts, a list of macroeconlmic law of large numbers and central limit theorems, which are employed in the discussions of chapters 4 to 8, and gives a brief overview of the basic elements of spectral analysis, heavily used in chapters 3, 5 and 7. Roughly, the first 5 chapters and the seventh could be thought in first part, chapter 6 and the appliec four in the second part.
I need to thank my restricted and extended family for the patience they endured during the long process that lead to the completion of this book. To all goes my thanks.
The book is largely self-contained but presumes a basic knowledge of modern macroeco- nomic theory say, one or two quarters of a Ph. Those who feel comfortable with these topics can skip.
Preliminaries This chapter is introductory and it is intended for readers who are unfamiliar with time series concepts, with the properties of stochastic processes, with basic asymptotic theory results and with the a-b-c of spectral analysis. Chapter 6 examines full information Maximum Likeli- hood and in chapter 7 Calibration techniques are discussed.
The first three chapters of the book are introductory and review material extensively used in later chapters.
I always like to argue with him because his unconventional views helped to bring out often forgotten methodological and practical aspects.
And on most issues of interest to applied macroeconomists he was more often right than wrong. Three people taught me to approach empirical problems in a sensible but rigorous way, combining economic theory with advanced statistical tools and numerical methods, and to be suspicious and critical of analyses which leave out one of the main ingredients of the cake.
Yet, when I found a new example or an application where the ideas of this book could be used, I regained the excitement of the first days. In the remaining chapters we present various methodologies to confront models to methoes data and discuss how they can be used to address other interesting economic questions.
Fabio Canova (Author of Methods for Applied Macroeconomic Research)
This macroecohomic would not have been possible without their fundamental inputs. Chapter 2 presents a number of macroeconomic models currently ii used in the profession and discusses numerical methods needed to solve them. This is the setup I have used in teaching this material over a number years and it seems the natural division between what I consider basic and advanced material.
Chapter 4 describes minimalist vector autoregressive VAR approaches, where a limited amount of economic theory is used to structure the data. Chapter 3 discusses procedures used to obtain interesting information about secular and cyclical fluctuations in the data. Dynamic macroeconomics is in part about intertemporal substitution.
I have learned a lot through the process of writing this book and teaching its material, probably as much as students have learned from the lectures and practical cqnova. As mentors, there was no one comparable to them. Enviado por Gilmar flag Denunciar.
Given our empirical perspective, formal results are often stated without proofs and em- phasis is given to their use in particular macroeconomic applications. Most of the examples and exercises of this book are based on versions of these models.
Methods for applied macroeconomic research – Canova F. (PUP, 2007)
I also have an intellectual debit with Ed Prescott. Patience is probably built on the same principle. Adrian Pagan shaped my somewhat cynical view of what should and can be done with the data and the models.