
2.1 Pooled Ordinary Least Square (Pooled OLS)
yit = α + β’xit + εit. (1.10)
In this model, both slope and intercept coefficients are the same
Notes. Pooled OLS does not mention the change of observation
explanatory variables in both times (t=1,..,T) and cross-section unit (i
=1,…,n) that can affect to the role of the observed explanatory variables.
Example 2.1 Let us consider the case of a Cobb Douglas production
function in log by Pooled OLS, as defined previously, for the case T = 3
,K = 2 and sample size (n = 2). We have
yit = α+ β’xit + εit. (i, t=1,..,3 )
Mr U_KHOA TOÁN KINH TẾ6/6/2022
33