Time Series Econometrics Learning Through Replication
In this book, the authors reject the theorem-proof approach as much as possible, and emphasize the practical application of econometrics. They show with examples how to calculate and interpret the numerical results.This book begins with students estimatin
- PDF / 10,139,922 Bytes
- 417 Pages / 439.42 x 683.15 pts Page_size
- 77 Downloads / 194 Views
John D. Levendis
Time Series Econometrics Learning Through Replication
Springer Texts in Business and Economics
Springer Texts in Business and Economics (STBE) delivers high-quality instructional content for undergraduates and graduates in all areas of Business/ Management Science and Economics. The series is comprised of self-contained books with a broad and comprehensive coverage that are suitable for class as well as for individual self-study. All texts are authored by established experts in their fields and offer a solid methodological background, often accompanied by problems and exercises.
More information about this series at http://www.springer.com/series/10099
John D. Levendis
Time Series Econometrics Learning Through Replication
123
John D. Levendis Department of Economics Loyola University New Orleans New Orleans, LA, USA
ISSN 2192-4333 ISSN 2192-4341 (electronic) Springer Texts in Business and Economics ISBN 978-3-319-98281-6 ISBN 978-3-319-98282-3 (eBook) https://doi.org/10.1007/978-3-319-98282-3 Library of Congress Control Number: 2018956137 © Springer Nature Switzerland AG 2018 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors, and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG. The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
To Catherine and Jack
Preface
What makes this book unique? It follows a simple ethos: it is easier to learn by doing. Or, “Econometrics is better taught by example than abstraction” (Angrist and Pischke 2017, p. 2). The aim of this book is to explain how to use the basic, yet essential, tools of time-series econometrics. The approach is to be as simple as possible so that real learning can take place. We won’t try to be encyclopedic, nor will we break new methodological ground. The goal is to develop a practical understanding of the basic
Data Loading...
