Analysis of Economic Time Series
eBook - PDF

Analysis of Economic Time Series

A Synthesis

  1. 488 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Analysis of Economic Time Series

A Synthesis

About this book

Analysis of Economic Time Series: A Synthesis integrates several topics in economic time-series analysis, including the formulation and estimation of distributed-lag models of dynamic economic behavior; the application of spectral analysis in the study of the behavior of economic time series; and unobserved-components models for economic time series and the closely related problem of seasonal adjustment. Comprised of 14 chapters, this volume begins with a historical background on the use of unobserved components in the analysis of economic time series, followed by an Introduction to the theory of stationary time series. Subsequent chapters focus on the spectral representation and its estimation; formulation of distributed-lag models; elements of the theory of prediction and extraction; and formulation of unobserved-components models and canonical forms. Seasonal adjustment techniques and multivariate mixed moving-average autoregressive time-series models are also considered. Finally, a time-series model of the U.S. cattle industry is presented. This monograph will be of value to mathematicians, economists, and those interested in economic theory, econometrics, and mathematical economics.

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Yes, you can access Analysis of Economic Time Series by Marc Nerlove,David M. Grether,José L. Carvalho, Karl Shell in PDF and/or ePUB format, as well as other popular books in Economics & Business General. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Front Cover
  2. Analysis of Economic Time Series: A Synthesis
  3. Copyright Page
  4. Table of Contents
  5. Dedication
  6. Preface
  7. Chapter I. A History of the Idea of Unobserved Components in the Analysis of Economic Time Series
  8. Chapter II. Introduction to the Theory of Stationary Time Series
  9. Chapter III. The Spectral Representation and Its Estimation
  10. Chapter IV. Formulation and Analysis of Unobserved-Components Models
  11. Chapter V. Elements of the Theory of Prediction and Extraction
  12. Chapter VI. Formulation of Unobserved-Components Models and Canonical Forms
  13. Chapter VII. Estimation of Unobserved-Components and Canonical Models
  14. Chapter VIII. Appraisal of Seasonal Adjustment Techniques
  15. Chapter IX. On the Comparative Structure of Serial Dependence in Some U.S. Price Series
  16. Chapter X. Formulation and Estimation of Mixed Moving-Average Autoregressive Models for Single Time Series: Examples
  17. Chapter XI. Formulation and Estimation of Multivariate Mixed Moving-Average Autoregressive Time-Series Models
  18. Chapter XII. Formulation and Estimation of Unobserved-Components Models: Examples
  19. Chapter XIII. Application to the Formulation of Distributed-Lag Models
  20. Chapter XIV. A Time-Series Model of the U.S. Cattle Industry
  21. Appendix A: The Work of Buys Ballot
  22. Appendix B: Some Requisite Theory of Functions of a Complex Variable
  23. Appendix C: Fourier Series and Analysis
  24. Appendix D: Whittle's Theorem
  25. Appendix E: Inversion of Tridiagonal Matrices and a Method for Inverting Toeplitz Matrices
  26. Appendix F: Spectral Densities, Actual and Theoretical, Eight Series
  27. Appendix G: Derivation of a Distributed-Lag Relation between Sales and Production: A Simple Example
  28. References
  29. Author Index
  30. Subject Index