Introduction to Eviews

EViews is a statistical package for Windows, used mainly for time-series oriented econometric analysis. It is developed by Quantitative Micro Software (QMS), now a part of IHS. Version 1.0 was released in March 1994, and replaced MicroTSP. The TSP software and programming language had been originally developed by Robert Hall in 1965. The current version of EViews is 12, released in November 2020.

EViews is a software package that provides tools for data analysis, regression, and forecasting. It is a “canned” regression package for econometric analysis. EViews has an object-oriented design. Each type of object has specific ‘views’ and procedures that are used in Eviews.

Eviews has been a command-line-only program up until recently, and all the advanced features, such as Kronecker products, eigenvector solution, and singular value decomposition are still processed using the command line. As well, the command line mode records all of the steps in an analysis. The GUI (Graphical User Interface) is convenient, but you will have no record of your session and will have to go back to command line mode to use advanced features.

Examining Several Series with EViews

Rather than examining one series at a time we can view several. In the workfile window select the series Ml and then while holding down

Using a EViews Workfile

As noted earlier all the data for the book Principles of Econometrics is provided as EViews worhfiles. These will be used starting in Chapter 2.

The EViews Help System

Click Help on the EViews menu The resulting menu is 1. EViews help topics First, click on EViews Help Topics. Select Getting Started (Student Version)

Starting EViews

To launch EViews double click the EViews 6 SV icon on the desktop, if one is present. It should resemble Alternatively, select EViews from the

Using EViews for Principles of Econometrics

This manual is a supplement to the textbook Principles of Econometrics, 3rd Edition, by Hill, Griffiths and Lim (John Wiley & Sons, Inc., 2008). It

Introduction to Eviews

EViews is a statistical package for Windows, used mainly for time-series oriented econometric analysis. It is developed by Quantitative Micro Software (QMS), now a part of IHS. Version 1.0 was released

The Multiple Linear Regression Model by using EViews

In the simple linear regression model the average value of a dependent variable is modeled as a linear function of a constant and a single

Prediction, Goodness of Fit and Modeling Issues by using EViews

1. PREDICTION IN THE FOOD EXPENDITURE MODEL In this chapter we continue to work with the simple linear regression model and our model of weekly

Interval Estimation and Hypothesis Testing by using EViews

1. INTERVAL ESTIMATION For the regression model y = β1 +β2x + e, and under assumptions SR1-SR6, the important result that we use in this

The Simple Linear Regression Model by using EViews

In this chapter we introduce the simple linear regression model and estimate a model of weekly food expenditure. We also demonstrate the plotting capabilities of

Using EViews Functions

Now we will explore the use of some EViews functions. Select Help/Quick Help Reference/Function Reference. 1. Descriptive statistics functions Select Descriptive Statistics from the list

Using the Quick Menu of EViews

The spreadsheet view of the data is very powerful. Another key tool is the Quick menu on the EViews workfile menu. The options shown are

Simultaneous Equations Models by using EViews

1. EXAMINING THE DATA In this section, the text introduces a two-equation demand and supply model for truffles, a French gourmet mushroom delicacy. To estimate

Random Regressors and Moment Based Estimation by using EViews

1. THE INCONSISTENCY OF THE LEAST SQUARES ESTIMATOR To reproduce Figure 10.2, showing the positive correlation between the x and e generated by the Monte

Dynamic Models, Autocorrelation, and Forecasting by using EViews

1. LEAST-SQUARES RESIDUALS: SUGARCANE EXAMPLE The first example considered in Chapter 9 is an area response model for sugarcane in Bangladesh where area sown to

Heteroskedasticity by using EViews

1. EXAMINING RESIDUALS In this chapter we return to the example considered in Chapters 2 to 4 where weekly expenditure on food was related to

Nonlinear Relationships by using EViews

1. POLYNOMIALS In microeconomics you studied “cost” curves and “product” curves that describe a firm. Total cost and total product curves are mirror images of

Further Inference in the Multiple Regression Model by using EViews

1. F AND CHI-SQUARE TESTS In Chapter 5 we saw how to use EViews to test a null hypothesis about a single coefficient in a

Importing and Exporting with EViews

1. OBTAINING DATA FROM THE INTERNET Up to now we have taken you through various econometric methodologies and applications using already prepared EViews workfiles. In

Qualitative and Limited Dependent Variables by using EViews

1. MODELS WITH BINARY DEPENDENT VARIABLES We will illustrate binary choice models using an important problem from transportation economics. How can we explain an individual’s

Panel Data Models by using EViews

1. GRUNFELD DATA: TWO EQUATIONS Panel data are data with two dimensions, a time dimension and a cross-section dimension. They typically comprise observations on a

Time-Varying Volatility and ARCH Models by using EViews: An Introduction to Financial Econometrics

1. TIME-VARYING VOLATILITY In this chapter we are concerned with variances that change over time, i.e., time-varying variance processes. The model we focus on is

VEC and VAR Models by using EViews: An Introduction to Macroeconometrics

1. VEC AND VAR MODELS A VAR model describes a system of equations in which each variable is a function of its own lag and

Nonstationary Time Series Data and Cointegration by using EViews

1. STATIONARY AND NONSTATIONARY VARIABLES Time-series data display a variety of behavior. The data shown in Figure 12.1 is stored in the EViews workfile usa.wfl.