#Eviews 10 structue resize current page series

With respect to the structure of the workfile, there are two things worth noting. They are straightforward least squares estimations. There is nothing new in these specifications. In the following screenshot the two separate equation specifications for the GE and WE equations have been superimposed on the workfile. We first consider separate least squares estimation of each equation. There are various ways of estimating these two equations depending on what further assumptions are made about the coefficients and the error terms in each of the equations. Where INV denotes investment, V denotes market value of stock and K denotes capital stock, with the subscripts GE and WE referring to General Electric and Westinghouse, respectively. We are interested in estimating the two equations The data can be found in the file grunfeld2.dat.

#Eviews 10 structue resize current page series

The first example involves T = 20 time series observations on just N = 2 cross sectional units, the firms General Electric and Westinghouse. Some but not all of those options will be introduced as we lead you through the examples in Chapter 15 of the text. Also, the user has various options for handling the data and proceeding to estimation.

EViews has the capacity to estimate a vast array of models, using many different estimation techniques. The use of panel data involves new models, new econometric techniques and new ways of handling the data.

They typically comprise observations on a number of economic units, such as individuals or firms, over a number of time periods. Panel data are data with two dimensions, a time dimension and a cross-section dimension.