Name: Elements of Time Series Econometrics: An Applied Approach - Third Edition (en Inglés)
SKU: 49354764
Price: 41.89 USD
Availability: InStock
Author: Kocenda, Evzen ; Cerný, Alexandr
ISBN: 9788024631998

portada Elements of Time Series Econometrics: An Applied Approach - Third Edition (en Inglés)

Elements of Time Series Econometrics: An Applied Approach - Third Edition (en Inglés)

Formato

Libro Físico

Autor

Evzen Kocenda

Alexandr Cerný

Editorial

Karolinum Press, Charles University

Idioma

Inglés

N° páginas

220

Encuadernación

Tapa Blanda

Dimensiones

23.4x16.5x1.5 cm

Peso

0.36 kg.

ISBN13

9788024631998

N° edición

0003

Categorías

Econometría

Elements of Time Series Econometrics: An Applied Approach - Third Edition (en Inglés)

Evzen Kocenda (Autor) · Alexandr Cerný (Autor) · Karolinum Press, Charles University · Tapa Blanda

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Reseña del libro "Elements of Time Series Econometrics: An Applied Approach - Third Edition (en Inglés)"

A time series is a sequence of numbers collected at regular intervals over a period of time. Designed with emphasis on the practical application of theoretical tools, Elements of Time Series Econometrics is an approachable guide for the econometric analysis of time series. The text is divided into five major sections. The first section, "The Nature of Time Series," gives an introduction to time series analysis. The next section, "Difference Equations," describes briefly the theory of difference equations, with an emphasis on results that are important for time series econometrics. The third section, "Univariate Time Series," presents the methods commonly used in univariate time series analysis, the analysis of time series of a single variable. The fourth section, "Multiple Time Series," deals with time series models of multiple interrelated variables. The final section, new to this edition, is "Panel Data and Unit Root Tests" and deals with methods known as panel unit root tests that are relevant to issues of convergence. Appendices contain an introduction to simulation techniques and statistical tables.