Mills | Time Series Econometrics | Buch | 978-0-415-71827-1 | sack.de

Buch, Englisch, 1872 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 3418 g

Reihe: Critical Concepts in Economics

Mills

Time Series Econometrics

Buch, Englisch, 1872 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 3418 g

Reihe: Critical Concepts in Economics

ISBN: 978-0-415-71827-1
Verlag: Routledge


In the memorable words of Ragnar Frisch, econometrics is ‘a unification of the theoretical–quantitative and the empirical–quantitative approach to economic problems’. Beginning to take shape in the 1930s and 1940s, econometrics is now recognized as a vital subdiscipline supported by a vast—and still rapidly growing—body of literature.

Following the positive reception of The Rise of Econometrics (2013) (978-0-415-61678-2), Routledge now announces a new collection from its Critical Concepts in Economics series. With a comprehensive introduction, newly written by the editor, which places the assembled materials in their historical and intellectual context, Time Series Econometrics is an essential work of reference. This fully indexed collection will be particularly useful as an essential database allowing scattered and often fugitive material to be easily located. It will also be welcomed as a crucial tool permitting rapid access to less familiar—and sometimes overlooked—texts. For researchers and students, as well as economic policy-makers, it is a vital one-stop research and pedagogic resource.
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Weitere Infos & Material


Volume I: Laying the Foundations

Part 1: Correlation and Detrending

Part 2: Spurious Correlations, Random Shocks, and Induced Cycles

Part 3: Modelling Stationary Time Series

Part 4: Developments in Estimation and Inference

Volume II: A Maturing Discipline

Part 1: Modelling Relationships Between Time Series

Part 2: Testing Time-Series Regression Models

Part 3: Causality

Volume III: Single-Equation Modelling

Part 1: Dynamic Specification

Part 2: Unit Roots, Time Trends, and Breaks

Volume IV: Multiple-Equation Modelling

Part 1: Simultaneous Equations, VARs, and Panels

Part 2: Spurious Regression, Cointegration, Common Trends, and VECMs


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