And the explanatory variables qoutput pffuel price

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and the explanatory variables Q:output, PF:fuel price and F:load factor. A Command Script. A command script for estimating the panel data models is already available. This is accessed via the menu sequence h File i h Data files i h Practice files i . A window titled hh gretl: practice files ii will be revealed from which greene14 1 panel methods, Hausman test should be selected. The script indicates that the logarithms of some the variables are taken before an ordinary least-squares regression is run via the command ols l C 0 l Q l PF LF. The zero in this sequence stands for the vector of units associated with a global constant term. The result of the command may be described as a pooled regression. The command hausman tests the simple pooled model against the principal alternatives, which are the fixed e ff ects and random e ff ects models. The fixed e ff ects model allows the intercept of the regression to vary across the cross- sectional units. An F -test is reported for the null hypotheses that the intercepts do not di ff er. The random e ff ects model decomposes the residual variance into
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