Next, the book takes you through data visualization and all the important statistical tests in STATA. Starting with an introduction to STATA and data analytics you'll move on to STATA programming and data management. This book covers data management, graphs visualization, and programming in STATA. STATA also provides you with a platform to efficiently perform simulation, regression analysis (linear and multiple) [and custom programming.
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What You Will Learn Perform important statistical tests to become a STATA data scientist Be guided through how to program in STATA Implement logistic and linear regression models Visualize and program the data in STATA Analyse survey data, time series data, and survival data Perform database management in STATA In Detail STATA is an integrated software package that provides you with everything you need for data analysis, data management, and graphics. This book is also very helpful for experienced STATA programmers as it provides advanced statistical modelling concepts and their application. Chapter 10: Panel Data AnalysisĮxplore the big data field and learn how to perform data analytics and predictive modelling in STATA About This Book Visualize and analyse data in STATA to devise a business strategy Learn STATA programming and predictive modeling Discover how you can become a data scientist with the power of STATA Who This Book Is For This book is for all the professionals and students who want to learn STATA programming and apply predictive modelling concepts. Chapter 9: Autoregressive Distributed Lag Model (ARDL). Chapter 8: Vector Error Correction Model (VECM). Chapter 7: Vector Autoregressive (VAR) Model. An Introduction to Financial Econometrics. Chapter 6: Volatility Modeling: ARCH, GARCH and EGARCH Models. Chapter 5: Economic Forecasting using ARIMA Modelling. Chapter 4: Forecasting Using Regression Models. Chapter 3: Running Regression Analysis in EViews. Chapter 2: Descriptive Statistics and Preliminary Tests. Topics Covered with examples Include: Chapter 1: Introduction to EViews.
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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. This book may be used as a textbook companion for post graduate level courses in time series analysis, empirical finance, statistics and financial econometrics. It can also serve as a guide for researchers and practitioners who desire to use EViews for analyzing financial data.
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This book is written as a compendium for undergraduate and graduate students in economics, finance, statistics and accounting. 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.
#Applied econometrics using eviews pdf manual#
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. Analyzing time-series data and forecasting future values of a time series are among the most important problems that analysts face in many fields. 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.