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Lecture 20 Two Stage Least Squares
Economics 310 Lecture 20 Two Stage Least Squares
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Two Stage Least Squares
Want Unique Estimates with over-identified equations Want to use all information in system’s data set. Two stage least squares allows us to use all exogenous variables and still get unique estimates.
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Understanding identification Instrumental Variable estimation
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Supply in matrix form
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2-stage least squares
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2-Stage least squares
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2-stage least squares
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Example
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Estimate of 1st Menges Equation
|_2sls y ylag i (ylag, clag, qlag, r, p) TWO STAGE LEAST SQUARES - DEPENDENT VARIABLE = Y 5 EXOGENOUS VARIABLES 2 POSSIBLE ENDOGENOUS VARIABLES 51 OBSERVATIONS R-SQUARE = R-SQUARE ADJUSTED = VARIANCE OF THE ESTIMATE-SIGMA**2 = STANDARD ERROR OF THE ESTIMATE-SIGMA = SUM OF SQUARED ERRORS-SSE= MEAN OF DEPENDENT VARIABLE = VARIABLE ESTIMATED STANDARD T-RATIO PARTIAL STANDARDIZED ELASTICITY NAME COEFFICIENT ERROR DF P-VALUE CORR. COEFFICIENT AT MEANS YLAG E I E E CONSTANT E
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Alternative derivation of 2sls
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Alternative estimator
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2sls
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