Persistent Stochastic Shocks in a New Keynesian Model with Uncertainty
The book introduces the New Keynesian framework, historically through a literature overview and through a step-by-step derivation of a New Keynesian Phillips curve, an intertemporal IS curve, and a targeting rule for the central bank. This basic version i
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Persistent Stochastic Shocks in a New Keynesian Model with Uncertainty
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Tobias Kranz
Persistent Stochastic Shocks in a New Keynesian Model with Uncertainty
Tobias Kranz Trier, Germany Master Thesis, University of Trier 2015
BestMasters ISBN 978-3-658-15638-1 ISBN 978-3-658-15639-8 (eBook) DOI 10.1007/978-3-658-15639-8 Library of Congress Control Number: 2016954031 Springer Gabler © Springer Fachmedien Wiesbaden 2017 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. Printed on acid-free paper This Springer Gabler imprint is published by Springer Nature The registered company is Springer Fachmedien Wiesbaden GmbH The registered company address is: Abraham-Lincoln-Str. 46, 65189 Wiesbaden, Germany
Acknowledgements I would like to take this opportunity to thank several people who have supported me during the two years of my master studies and been of great help in the work on this thesis. I highly value all the input Jun. Prof. Dr. Matthias Neuenkirch has given me. He answered every one of my questions swiftly and thoughtfully. I admire his work ethics and thank him for guiding me through this process in such a supportive manner. Furthermore, I would like to thank Stefan Geisen for his great mathematical help in past projects and for the many fruitful conversations we had on the topics of economics and mathematics. I would also like to express my gratitude to Sarah Cames for developing and improving my English skills and for being so diligent in correcting my mistakes. Finally, I wish to
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