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this fourth video in the series shows a comparison of pulled ols and fixed effects least squares dummy variable estimation and the comparison will allow us to definitively determine which model is more suitable for our working data and we can make our decision in one of two ways the first is to use the restricted f-test analysis and the second is to do a wall test of differential of the differential intercepts from the lsdv regression so to do this weamp;#39;re going to still be utilizing the same data sets consisting of 10 firms with 20 years of data yielding 200 observations and in this weamp;#39;re going to be regressing market capitalization against capital expenditure and book value of equity so with respect to the restricted f test also referred to as partial f test our restricted model is going to be the pulled ols model and thatamp;#39;s because it assumes uh it uses a common intercept and fewer coefficients as you can see here only three coefficients in the case of our mode
