Learning Outcomes
-ΤΗΕ ΤWO-VARIABLE LINEAR REGRESSION MODEL
-THE MULTIVARIATE LINEAR REGRESSION MODEL
-PROPERTIES OF ESTIMATORS
-DIAGNOSTICS AND INFERENCE
-TESTS OF GOOD FUNCTIONAL SPECIFICATION
-THE USE OF DUMMY VARIABLES
-LOGIT AND PROBIT MODELS
-THE SUR METHOD
-THE METHOD OF INSTRUMENTAL VARIABLES (IV)
-SYSTEMS OF EQUATIONS
-ESTIMATION METHODS FOR SIMULTANEOUS EQUATIONS SYSTEMS (2SLS, 3SLS, FIML)
-DYNAMIC SYSTEMS
-PANEL DATA MODELS
-ESTIMATION METHODS FOR PANEL DATA MODELS(POOLED, FIXED EFFECTS, RANDOM EFFECTS)
Course Content (Syllabus)
-ΤΗΕ ΤWO-VARIABLE LINEAR REGRESSION MODEL
-THE MULTIVARIATE LINEAR REGRESSION MODEL
-PROPERTIES OF ESTIMATORS
-DIAGNOSTICS AND INFERENCE
-TESTS OF GOOD FUNCTIONAL SPECIFICATION
-THE USE OF DUMMY VARIABLES
-LOGIT AND PROBIT MODELS
-THE SUR METHOD
-THE METHOD OF INSTRUMENTAL VARIABLES (IV)
-SYSTEMS OF EQUATIONS
-ESTIMATION METHODS FOR SIMULTANEOUS EQUATIONS SYSTEMS (2SLS, 3SLS, FIML)
-DYNAMIC SYSTEMS
-PANEL DATA MODELS
-ESTIMATION METHODS FOR PANEL DATA MODELS(POOLED, FIXED EFFECTS, RANDOM EFFECTS)
Keywords
REGRESSION, DIAGNOSTIC TESTS, SYSTEMS OF EQUATIONS, PANEL MODELS