This Course is Open to MA(Development Studies) students. Brief review of random variables: expectation, variance, covariance, estimation and inference; Classical Linear Regression Model: least squares estimation: unbiasedness and efficiency, Gauss-Markov theorem, hypothesis testing, goodness of fit; Nonlinear models, Dummy variables; Heteroscadasticity, Autocorrelation and Multicollinearity: detection, implications and possible remedies; Omitted variable, measurement errors and instrumental variables.
