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Unobserved Components and Time Series Econometrics

This volume presents original and up-to-date studies in unobserved components (UC) time series models from both theoretical and;

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Applied Time Series Econometrics

This book attempts to demystify time series econometrics so as to equip macroeconomic researchers focusing on Africa with solid but;

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Volatility and Time Series Econometrics

Robert Engle received the Nobel Prize for Economics in 2003 for his work in time series econometrics. This book contains 16 original;

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Palgrave Handbook of Econometrics

history of econometrics, developments in time-series and cross-section econometrics, modelling with integrated variables, Bayesian econometrics;

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Elements of Time Series Econometrics: An Applied Approach - Third Edition

A time series is a sequence of numbers collected at regular intervals over a period of time. Designed with emphasis on the practical;

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Contributions to Financial Econometrics

This prestigious volume presents five state--of--the--art survey papers on time series econometrics, and a modern financial econometrics;

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Non-Extensive Entropy Econometrics for Low Frequency Series

Non-extensive Entropy Econometrics for Low Frequency Series provides a new and robust power-law-based, non-extensive entropy econometrics;

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Non-Extensive Entropy Econometrics for Low Frequency Series

The second edition of Non-extensive Entropy Econometrics for Low Frequency Series provides a new and robust power-law-based, non-extensive;

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Time Series Econometrics

This book provides an introductory treatment of time series econometrics, a subject that is of key importance to both students and;

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Modern Econometrics

Econometrics has experienced remarkable changes in the past 15 years, particularly in the area of time series analysis. The development;

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Gretl - Gnu Regression, Econometrics and Time-series Library

Gretl is an econometrics package, including a shared library, a command-line client program and a gr;...

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Selected Topics in Applied Econometrics

This book aims to bring together studies using different data types (panel data, cross-sectional data and time series data) and different;

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Modeling Financial Time Series with S-Plus

first book to show the power of S-PLUS for the analysis of time series data. It is written for researchers and practitioners in the finance;

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Applied Time Series Econometrics

Time series econometrics is a rapidly evolving field. Particularly, the cointegration revolution has had a substantial impact on applied;

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Applied Time Series Econometrics

Time series econometrics is a rapidly evolving field. Particularly, the cointegration revolution has had a substantial impact on applied;

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Introduction to Applied Econometrics (with CD-ROM)

developments in time series analysis, as opposed to the traditional approach that culminates in a treatment of simultaneous equations. This permits a;

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Applied Time Series Modelling and Forecasting

This book covers time series modeling and forecasting for econometrics and finance students. This new edition has been simplified for more;

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Time Series Econometrics Analysis

This text book presents the application of time series econometrics methods in economics. The main focus of this book is to describe the;

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Financial Econometrics Using Stata

intermediate or advanced methods. After discussing the characteristics of financial time series, the authors provide introductions to ARMA models;

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Financial Econometrics

A comprehensive guide to financial econometrics Financial econometrics is a quest for models that describe financial time series such as;

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Financial Econometrics, Mathematics and Statistics

four parts, the text begins with topics related to regression and financial econometrics. Subsequent sections describe time-series analyses;

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TIME SERIES ANALYSIS AND MACROECONOMETRIC MODELLING

of economic time series, large-scale macroeconometric modelling, and the interface between them.The first part deals with time-series econometrics and;

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Cointegration for the Applied Economist

edition is thoroughly revised and updated and explains how to use many recent technical developments in time series econometrics. The main;

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Using R for Introductory Econometrics

series regression Pooled cross-sections and panel data Instrumental variables and two-stage least squares Simultaneous equation models Limited;

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Applied Econometric Times Series

>Applied Econometric Time Series was among those chosen.This new edition reflects recent advances in time-series econometrics, such as out;

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International Symposia in Economic Theory and Econometrics

modeling, nonlinear structural modeling, time series modeling, nonparametric inference, and chaotic attractor inference. The contents of this;

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International Symposia in Economic Theory and Econometrics

modeling, nonlinear structural modeling, time series modeling, nonparametric inference, and chaotic attractor inference. The contents of this;

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