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Undergraduate Econometrics, Using EViews For

Author: R. Carter Hill

Publisher: Wiley

Published: 2000-10-26

Total Pages: 192

ISBN-13: 9780471412397

This book explores econometrics using an intuitive approach that begins with an economic model. It emphasizes motivation, understanding, and implementation and shows readers how economic data are used with economic and statistical models as a basis for estimating key economic parameters, testing economic hypotheses and predicting economic outcomes.

Using EViews for Undergraduate Econometrics

Author: R. Carter Hill

Publisher:

Published: 2001

Total Pages: 0

ISBN-13:

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Undergraduate Econometrics

Author: R. Carter Hill

Publisher:

Published: 2001

Total Pages: 430

ISBN-13:

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Intended for one semester introductory econometrics courses, this text is not in a theorem-proof type format. It emphasizes motivation, understanding, and implementation. Motivation is achieved by introducing economic models within the framework of economic questions that students can answer. Understanding is aided by description of techniques, clear interpretations and appropriate applications. Learning is reinforced by doing, with worked examples in the text and end of chapter exercises. By using an intuitive approach, students are shown how economic data are used with economic and statistical models as a basis for estimating key economic parameters, testing economic hypotheses and predicting economic outcomes. Many of the exercises involve the student using a sample of data and computer software to answer economic questions The book only uses essential calculus and uses economic principles at the "Principles of Economics" level. It includes an instructor's manual; an ASCII data disk for use with any statistical package; SAS and SHAZAM programs (in ASCII format for simple modification) for numerical exercises; and brief handouts for class distribution with SAS and SHAZAM commands also included in the instructor's manual and on disk.

Economic and Financial Modelling with EViews

Author: Abdulkader Aljandali

Publisher: Springer

Published: 2018-10-22

Total Pages: 284

ISBN-13: 3319929852

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This practical guide in Eviews is aimed at practitioners and students in business, economics, econometrics, and finance. It uses a step-by-step approach to equip readers with a toolkit that enables them to make the most of this widely used econometric analysis software. Statistical and econometrics concepts are explained visually with examples, problems, and solutions. Developed by economists, the Eviews statistical software package is used most commonly for time-series oriented econometric analysis. It allows users to quickly develop statistical relations from data and then use those relations to forecast future values of the data. The package provides convenient ways to enter or upload data series, create new series from existing ones, display and print series, carry out statistical analyses of relationships among series, and manipulate results and output. This highly hands-on resource includes more than 200 illustrative graphs and tables and tutorials throughout. Abdulkader Aljandali is Senior Lecturer at Coventry University in London. He is currently leading the Stochastic Finance Module taught as part of the Global Financial Trading MSc. His previously published work includes Exchange Rate Volatility in Emerging Markers, Quantitative Analysis, Multivariate Methods & Forecasting with IBM SPSS Statistics and Multivariate Methods and Forecasting with IBM® SPSS® Statistics. Dr Aljandali is an established member of the British Accounting and Finance Association and the Higher Education Academy. Motasam Tatahi is a specialist in the areas of Macroeconomics, Financial Economics, and Financial Econometrics at the European Business School, Regent’s University London, where he serves as Principal Lecturer and Dissertation Coordinator for the MSc in Global Banking and Finance at The European Business School-London.

Teach Yourself Econometric Data Analysis with EViews

Author: Chukwuemeka Tiptop Okoro

Publisher:

Published: 2020-05-18

Total Pages: 250

ISBN-13:

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There is a large group of people in a variety of fields, including finance, economics, accounting, science, mathematics, engineering, statistics, and public policy who need to understand some basic concepts of time series analysis and forecasting. Analyzing time-series data and forecasting future values of a time series are among the most important problems that analysts face in many fields. But to Successfully analyze this time series data requires that the analyst interact with computer software because the techniques and algorithms are just not suitable to manual calculations.This book has been written with the aim of solving this problems by providing a step-by-step guide to economic and financial econometrics using EViews. It contains a brief overviews of the concepts of econometric models, and data analysis techniques followed by procedures of how they can be implemented in EViews. This book is written as a compendium for undergraduate and graduate students in economics, finance, statistics and accounting. It can also serve as a guide for researchers and practitioners who desire to use EViews for analyzing financial data. This book may be used as a textbook companion for post graduate level courses in time series analysis, empirical finance, statistics and financial econometrics. Since, many organizations can improve their effectiveness and business results by making better short-to-medium term forecasts, this book should be useful to a wide variety of professionals. Topics Covered with examples Include: Chapter 1: Introduction to EViews. Chapter 2: Descriptive Statistics and Preliminary Tests. Chapter 3: Running Regression Analysis in EViews. Chapter 4: Forecasting Using Regression Models. Chapter 5: Economic Forecasting using ARIMA Modelling. Chapter 6: Volatility Modeling: ARCH, GARCH and EGARCH Models. An Introduction to Financial Econometrics. Chapter 7: Vector Autoregressive (VAR) Model. An Introduction to Macroeconometrics. Chapter 8: Vector Error Correction Model (VECM). Chapter 9: Autoregressive Distributed Lag Model (ARDL). Chapter 10: Panel Data Analysis

Econometrics

Author: Ben Vogelvang

Publisher: Pearson Education

Published: 2005

Total Pages: 390

ISBN-13: 9780273683742

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This work provides a broad introduction to quantitative economic methods, for example how models arise, their underlying assumptions and how estimates of parameters or other economic quantities are computed. The emphasis is on understanding how to select the right method of analysis for a given situation.

Using EViews for Principles of Econometrics

Author: William E. Griffiths

Publisher: Wiley

Published: 2011-09-19

Total Pages: 480

ISBN-13: 9781118032077

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This book is a supplement to Principles of Econometrics, 4th Edition by R. Carter Hill, William E. Griffiths and Guay C. Lim (Wiley, 2011). It is designed for students to learn the econometric software package EViews at the same time as they are using Principles of Econometrics to learn econometrics. It is not a substitute for Principles of Econometrics, nor is it a stand-alone computer manual. It is a companion to the textbook, showing how to do all the examples in Principles of Econometrics using EViews Version 7. For most students, econometrics only has real meaning after they are able to use it to analyze data sets, interpret results, and draw conclusions. EViews is an ideal vehicle for achieving these objectives. Others who wish to learn and practice econometrics, such as instructors and researchers, will also benefit from using this book in conjunction with Principles of Econometrics, 4th Edition.

Time Series Data Analysis Using EViews

Author: I. Gusti Ngurah Agung

Publisher: John Wiley & Sons

Published: 2011-08-31

Total Pages: 502

ISBN-13: 1118176308

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Do you want to recognize the most suitable models for analysis of statistical data sets? This book provides a hands-on practical guide to using the most suitable models for analysis of statistical data sets using EViews - an interactive Windows-based computer software program for sophisticated data analysis, regression, and forecasting - to define and test statistical hypotheses. Rich in examples and with an emphasis on how to develop acceptable statistical models, Time Series Data Analysis Using EViews is a perfect complement to theoretical books presenting statistical or econometric models for time series data. The procedures introduced are easily extendible to cross-section data sets. The author: Provides step-by-step directions on how to apply EViews software to time series data analysis Offers guidance on how to develop and evaluate alternative empirical models, permitting the most appropriate to be selected without the need for computational formulae Examines a variety of times series models, including continuous growth, discontinuous growth, seemingly causal, regression, ARCH, and GARCH as well as a general form of nonlinear time series and nonparametric models Gives over 250 illustrative examples and notes based on the author's own empirical findings, allowing the advantages and limitations of each model to be understood Describes the theory behind the models in comprehensive appendices Provides supplementary information and data sets An essential tool for advanced undergraduate and graduate students taking finance or econometrics courses. Statistics, life sciences, and social science students, as well as applied researchers, will also find this book an invaluable resource.

Panel Data Analysis using EViews

Author: I. Gusti Ngurah Agung

Publisher: John Wiley & Sons

Published: 2013-12-31

Total Pages: 544

ISBN-13: 111871556X

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A comprehensive and accessible guide to panel data analysis using EViews software This book explores the use of EViews software in creating panel data analysis using appropriate empirical models and real datasets. Guidance is given on developing alternative descriptive statistical summaries for evaluation and providing policy analysis based on pool panel data. Various alternative models based on panel data are explored, including univariate general linear models, fixed effect models and causal models, and guidance on the advantages and disadvantages of each one is given. Panel Data Analysis using EViews: Provides step-by-step guidance on how to apply EViews software to panel data analysis using appropriate empirical models and real datasets. Examines a variety of panel data models along with the author’s own empirical findings, demonstrating the advantages and limitations of each model. Presents growth models, time-related effects models, and polynomial models, in addition to the models which are commonly applied for panel data. Includes more than 250 examples divided into three groups of models (stacked, unstacked, and structured panel data), together with notes and comments. Provides guidance on which models not to use in a given scenario, along with advice on viable alternatives. Explores recent new developments in panel data analysis An essential tool for advanced undergraduate or graduate students and applied researchers in finance, econometrics and population studies. Statisticians and data analysts involved with data collected over long time periods will also find this book a useful resource.

Using Econometrics

Author: A. H. Studenmund

Publisher: Addison Wesley Longman

Published: 1997

Total Pages: 702

ISBN-13:

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"A. H. Studenmund's practical introduction to econometrics combines single-equation linear regression analysis with real-world examples and exercises. Using Econometrics: A Practical Guide provides a thorough introduction to econometrics that avoids complex matrix algebra and calculus, making it the ideal text for the beginning econometrics student, the regression user looking for a refresher or the experienced practitioner seeking a convenient reference."--BOOK JACKET.