Estimation and inference in two variable model; OLS assumption; Extension of the two variable model; OLS assumption : autocorrelation, multicollinearity, and heteroskedasticity, models with limited dependent variables : LPM, log it, and probit; Panel data modelling: fixed effect and random effect models; Time series analysis : introduction to non-stationarity, AR and MA modelling.
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