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book Introduction to Econometrics 3rd Edition by James Stock, James Stock cover

Introduction to Econometrics 3rd Edition by James Stock, James Stock

النسخة 3الرقم المعياري الدولي: 978-9352863501
book Introduction to Econometrics 3rd Edition by James Stock, James Stock cover

Introduction to Econometrics 3rd Edition by James Stock, James Stock

النسخة 3الرقم المعياري الدولي: 978-9352863501
تمرين 11
Consider TSLS estimation with a single included endogenous variable and a single instrument. Then the predicted value from the first-stage regression is Consider TSLS estimation with a single included endogenous variable and a single instrument. Then the predicted value from the first-stage regression is   Use the definition of the sample variance and covariance to show that   Use this result to fill in the steps of the derivation in Appendix of Equation (12.4). Appendix Derivation of the Formula for the TSLS Estimator in Equation (12.4)  The first stage of TSLS is to regress X i on the instrument Z i by OLS and then compute the OLS predicted value   , and the second stage is to regress Y i on   by OLS. Accordingly, the formula for the TSLS estimator, expressed in terms of the predicted value   is the formula for the OLS estimator in Key Concept 4.2, with   replacing X i. That is,   , where   , is the sample variance of   and   is the sample covariance between Y i and    Because X i is the predicted value of X i from the first-stage regression,   , the definitions of sample variances and covariances imply that   (Exercise 12.4). Thus, the TSLS estimator can be written as   . Finally,   is the OLS slope coefficient from the first stage of TSLS, so   Substitution of this formula for   into the formula   yields the formula for the TSLS estimator in Equation (12.4).  Use the definition of the sample variance and covariance to show that Consider TSLS estimation with a single included endogenous variable and a single instrument. Then the predicted value from the first-stage regression is   Use the definition of the sample variance and covariance to show that   Use this result to fill in the steps of the derivation in Appendix of Equation (12.4). Appendix Derivation of the Formula for the TSLS Estimator in Equation (12.4)  The first stage of TSLS is to regress X i on the instrument Z i by OLS and then compute the OLS predicted value   , and the second stage is to regress Y i on   by OLS. Accordingly, the formula for the TSLS estimator, expressed in terms of the predicted value   is the formula for the OLS estimator in Key Concept 4.2, with   replacing X i. That is,   , where   , is the sample variance of   and   is the sample covariance between Y i and    Because X i is the predicted value of X i from the first-stage regression,   , the definitions of sample variances and covariances imply that   (Exercise 12.4). Thus, the TSLS estimator can be written as   . Finally,   is the OLS slope coefficient from the first stage of TSLS, so   Substitution of this formula for   into the formula   yields the formula for the TSLS estimator in Equation (12.4).  Use this result to fill in the steps of the derivation in Appendix of Equation (12.4).
Appendix
Derivation of the Formula for the TSLS Estimator in Equation (12.4)
The first stage of TSLS is to regress X i on the instrument Z i by OLS and then compute the OLS predicted value Consider TSLS estimation with a single included endogenous variable and a single instrument. Then the predicted value from the first-stage regression is   Use the definition of the sample variance and covariance to show that   Use this result to fill in the steps of the derivation in Appendix of Equation (12.4). Appendix Derivation of the Formula for the TSLS Estimator in Equation (12.4)  The first stage of TSLS is to regress X i on the instrument Z i by OLS and then compute the OLS predicted value   , and the second stage is to regress Y i on   by OLS. Accordingly, the formula for the TSLS estimator, expressed in terms of the predicted value   is the formula for the OLS estimator in Key Concept 4.2, with   replacing X i. That is,   , where   , is the sample variance of   and   is the sample covariance between Y i and    Because X i is the predicted value of X i from the first-stage regression,   , the definitions of sample variances and covariances imply that   (Exercise 12.4). Thus, the TSLS estimator can be written as   . Finally,   is the OLS slope coefficient from the first stage of TSLS, so   Substitution of this formula for   into the formula   yields the formula for the TSLS estimator in Equation (12.4).  , and the second stage is to regress Y i on Consider TSLS estimation with a single included endogenous variable and a single instrument. Then the predicted value from the first-stage regression is   Use the definition of the sample variance and covariance to show that   Use this result to fill in the steps of the derivation in Appendix of Equation (12.4). Appendix Derivation of the Formula for the TSLS Estimator in Equation (12.4)  The first stage of TSLS is to regress X i on the instrument Z i by OLS and then compute the OLS predicted value   , and the second stage is to regress Y i on   by OLS. Accordingly, the formula for the TSLS estimator, expressed in terms of the predicted value   is the formula for the OLS estimator in Key Concept 4.2, with   replacing X i. That is,   , where   , is the sample variance of   and   is the sample covariance between Y i and    Because X i is the predicted value of X i from the first-stage regression,   , the definitions of sample variances and covariances imply that   (Exercise 12.4). Thus, the TSLS estimator can be written as   . Finally,   is the OLS slope coefficient from the first stage of TSLS, so   Substitution of this formula for   into the formula   yields the formula for the TSLS estimator in Equation (12.4).  by OLS. Accordingly, the formula for the TSLS estimator, expressed in terms of the predicted value Consider TSLS estimation with a single included endogenous variable and a single instrument. Then the predicted value from the first-stage regression is   Use the definition of the sample variance and covariance to show that   Use this result to fill in the steps of the derivation in Appendix of Equation (12.4). Appendix Derivation of the Formula for the TSLS Estimator in Equation (12.4)  The first stage of TSLS is to regress X i on the instrument Z i by OLS and then compute the OLS predicted value   , and the second stage is to regress Y i on   by OLS. Accordingly, the formula for the TSLS estimator, expressed in terms of the predicted value   is the formula for the OLS estimator in Key Concept 4.2, with   replacing X i. That is,   , where   , is the sample variance of   and   is the sample covariance between Y i and    Because X i is the predicted value of X i from the first-stage regression,   , the definitions of sample variances and covariances imply that   (Exercise 12.4). Thus, the TSLS estimator can be written as   . Finally,   is the OLS slope coefficient from the first stage of TSLS, so   Substitution of this formula for   into the formula   yields the formula for the TSLS estimator in Equation (12.4).  is the formula for the OLS estimator in Key Concept 4.2, with Consider TSLS estimation with a single included endogenous variable and a single instrument. Then the predicted value from the first-stage regression is   Use the definition of the sample variance and covariance to show that   Use this result to fill in the steps of the derivation in Appendix of Equation (12.4). Appendix Derivation of the Formula for the TSLS Estimator in Equation (12.4)  The first stage of TSLS is to regress X i on the instrument Z i by OLS and then compute the OLS predicted value   , and the second stage is to regress Y i on   by OLS. Accordingly, the formula for the TSLS estimator, expressed in terms of the predicted value   is the formula for the OLS estimator in Key Concept 4.2, with   replacing X i. That is,   , where   , is the sample variance of   and   is the sample covariance between Y i and    Because X i is the predicted value of X i from the first-stage regression,   , the definitions of sample variances and covariances imply that   (Exercise 12.4). Thus, the TSLS estimator can be written as   . Finally,   is the OLS slope coefficient from the first stage of TSLS, so   Substitution of this formula for   into the formula   yields the formula for the TSLS estimator in Equation (12.4).  replacing X i. That is, Consider TSLS estimation with a single included endogenous variable and a single instrument. Then the predicted value from the first-stage regression is   Use the definition of the sample variance and covariance to show that   Use this result to fill in the steps of the derivation in Appendix of Equation (12.4). Appendix Derivation of the Formula for the TSLS Estimator in Equation (12.4)  The first stage of TSLS is to regress X i on the instrument Z i by OLS and then compute the OLS predicted value   , and the second stage is to regress Y i on   by OLS. Accordingly, the formula for the TSLS estimator, expressed in terms of the predicted value   is the formula for the OLS estimator in Key Concept 4.2, with   replacing X i. That is,   , where   , is the sample variance of   and   is the sample covariance between Y i and    Because X i is the predicted value of X i from the first-stage regression,   , the definitions of sample variances and covariances imply that   (Exercise 12.4). Thus, the TSLS estimator can be written as   . Finally,   is the OLS slope coefficient from the first stage of TSLS, so   Substitution of this formula for   into the formula   yields the formula for the TSLS estimator in Equation (12.4).  , where Consider TSLS estimation with a single included endogenous variable and a single instrument. Then the predicted value from the first-stage regression is   Use the definition of the sample variance and covariance to show that   Use this result to fill in the steps of the derivation in Appendix of Equation (12.4). Appendix Derivation of the Formula for the TSLS Estimator in Equation (12.4)  The first stage of TSLS is to regress X i on the instrument Z i by OLS and then compute the OLS predicted value   , and the second stage is to regress Y i on   by OLS. Accordingly, the formula for the TSLS estimator, expressed in terms of the predicted value   is the formula for the OLS estimator in Key Concept 4.2, with   replacing X i. That is,   , where   , is the sample variance of   and   is the sample covariance between Y i and    Because X i is the predicted value of X i from the first-stage regression,   , the definitions of sample variances and covariances imply that   (Exercise 12.4). Thus, the TSLS estimator can be written as   . Finally,   is the OLS slope coefficient from the first stage of TSLS, so   Substitution of this formula for   into the formula   yields the formula for the TSLS estimator in Equation (12.4).  , is the sample variance of Consider TSLS estimation with a single included endogenous variable and a single instrument. Then the predicted value from the first-stage regression is   Use the definition of the sample variance and covariance to show that   Use this result to fill in the steps of the derivation in Appendix of Equation (12.4). Appendix Derivation of the Formula for the TSLS Estimator in Equation (12.4)  The first stage of TSLS is to regress X i on the instrument Z i by OLS and then compute the OLS predicted value   , and the second stage is to regress Y i on   by OLS. Accordingly, the formula for the TSLS estimator, expressed in terms of the predicted value   is the formula for the OLS estimator in Key Concept 4.2, with   replacing X i. That is,   , where   , is the sample variance of   and   is the sample covariance between Y i and    Because X i is the predicted value of X i from the first-stage regression,   , the definitions of sample variances and covariances imply that   (Exercise 12.4). Thus, the TSLS estimator can be written as   . Finally,   is the OLS slope coefficient from the first stage of TSLS, so   Substitution of this formula for   into the formula   yields the formula for the TSLS estimator in Equation (12.4).  and Consider TSLS estimation with a single included endogenous variable and a single instrument. Then the predicted value from the first-stage regression is   Use the definition of the sample variance and covariance to show that   Use this result to fill in the steps of the derivation in Appendix of Equation (12.4). Appendix Derivation of the Formula for the TSLS Estimator in Equation (12.4)  The first stage of TSLS is to regress X i on the instrument Z i by OLS and then compute the OLS predicted value   , and the second stage is to regress Y i on   by OLS. Accordingly, the formula for the TSLS estimator, expressed in terms of the predicted value   is the formula for the OLS estimator in Key Concept 4.2, with   replacing X i. That is,   , where   , is the sample variance of   and   is the sample covariance between Y i and    Because X i is the predicted value of X i from the first-stage regression,   , the definitions of sample variances and covariances imply that   (Exercise 12.4). Thus, the TSLS estimator can be written as   . Finally,   is the OLS slope coefficient from the first stage of TSLS, so   Substitution of this formula for   into the formula   yields the formula for the TSLS estimator in Equation (12.4).  is the sample covariance between Y i and Consider TSLS estimation with a single included endogenous variable and a single instrument. Then the predicted value from the first-stage regression is   Use the definition of the sample variance and covariance to show that   Use this result to fill in the steps of the derivation in Appendix of Equation (12.4). Appendix Derivation of the Formula for the TSLS Estimator in Equation (12.4)  The first stage of TSLS is to regress X i on the instrument Z i by OLS and then compute the OLS predicted value   , and the second stage is to regress Y i on   by OLS. Accordingly, the formula for the TSLS estimator, expressed in terms of the predicted value   is the formula for the OLS estimator in Key Concept 4.2, with   replacing X i. That is,   , where   , is the sample variance of   and   is the sample covariance between Y i and    Because X i is the predicted value of X i from the first-stage regression,   , the definitions of sample variances and covariances imply that   (Exercise 12.4). Thus, the TSLS estimator can be written as   . Finally,   is the OLS slope coefficient from the first stage of TSLS, so   Substitution of this formula for   into the formula   yields the formula for the TSLS estimator in Equation (12.4).
Because X i is the predicted value of X i from the first-stage regression, Consider TSLS estimation with a single included endogenous variable and a single instrument. Then the predicted value from the first-stage regression is   Use the definition of the sample variance and covariance to show that   Use this result to fill in the steps of the derivation in Appendix of Equation (12.4). Appendix Derivation of the Formula for the TSLS Estimator in Equation (12.4)  The first stage of TSLS is to regress X i on the instrument Z i by OLS and then compute the OLS predicted value   , and the second stage is to regress Y i on   by OLS. Accordingly, the formula for the TSLS estimator, expressed in terms of the predicted value   is the formula for the OLS estimator in Key Concept 4.2, with   replacing X i. That is,   , where   , is the sample variance of   and   is the sample covariance between Y i and    Because X i is the predicted value of X i from the first-stage regression,   , the definitions of sample variances and covariances imply that   (Exercise 12.4). Thus, the TSLS estimator can be written as   . Finally,   is the OLS slope coefficient from the first stage of TSLS, so   Substitution of this formula for   into the formula   yields the formula for the TSLS estimator in Equation (12.4).  , the definitions of sample variances and covariances imply that Consider TSLS estimation with a single included endogenous variable and a single instrument. Then the predicted value from the first-stage regression is   Use the definition of the sample variance and covariance to show that   Use this result to fill in the steps of the derivation in Appendix of Equation (12.4). Appendix Derivation of the Formula for the TSLS Estimator in Equation (12.4)  The first stage of TSLS is to regress X i on the instrument Z i by OLS and then compute the OLS predicted value   , and the second stage is to regress Y i on   by OLS. Accordingly, the formula for the TSLS estimator, expressed in terms of the predicted value   is the formula for the OLS estimator in Key Concept 4.2, with   replacing X i. That is,   , where   , is the sample variance of   and   is the sample covariance between Y i and    Because X i is the predicted value of X i from the first-stage regression,   , the definitions of sample variances and covariances imply that   (Exercise 12.4). Thus, the TSLS estimator can be written as   . Finally,   is the OLS slope coefficient from the first stage of TSLS, so   Substitution of this formula for   into the formula   yields the formula for the TSLS estimator in Equation (12.4).  (Exercise 12.4). Thus, the TSLS estimator can be written as Consider TSLS estimation with a single included endogenous variable and a single instrument. Then the predicted value from the first-stage regression is   Use the definition of the sample variance and covariance to show that   Use this result to fill in the steps of the derivation in Appendix of Equation (12.4). Appendix Derivation of the Formula for the TSLS Estimator in Equation (12.4)  The first stage of TSLS is to regress X i on the instrument Z i by OLS and then compute the OLS predicted value   , and the second stage is to regress Y i on   by OLS. Accordingly, the formula for the TSLS estimator, expressed in terms of the predicted value   is the formula for the OLS estimator in Key Concept 4.2, with   replacing X i. That is,   , where   , is the sample variance of   and   is the sample covariance between Y i and    Because X i is the predicted value of X i from the first-stage regression,   , the definitions of sample variances and covariances imply that   (Exercise 12.4). Thus, the TSLS estimator can be written as   . Finally,   is the OLS slope coefficient from the first stage of TSLS, so   Substitution of this formula for   into the formula   yields the formula for the TSLS estimator in Equation (12.4).  . Finally, Consider TSLS estimation with a single included endogenous variable and a single instrument. Then the predicted value from the first-stage regression is   Use the definition of the sample variance and covariance to show that   Use this result to fill in the steps of the derivation in Appendix of Equation (12.4). Appendix Derivation of the Formula for the TSLS Estimator in Equation (12.4)  The first stage of TSLS is to regress X i on the instrument Z i by OLS and then compute the OLS predicted value   , and the second stage is to regress Y i on   by OLS. Accordingly, the formula for the TSLS estimator, expressed in terms of the predicted value   is the formula for the OLS estimator in Key Concept 4.2, with   replacing X i. That is,   , where   , is the sample variance of   and   is the sample covariance between Y i and    Because X i is the predicted value of X i from the first-stage regression,   , the definitions of sample variances and covariances imply that   (Exercise 12.4). Thus, the TSLS estimator can be written as   . Finally,   is the OLS slope coefficient from the first stage of TSLS, so   Substitution of this formula for   into the formula   yields the formula for the TSLS estimator in Equation (12.4).  is the OLS slope coefficient from the first stage of TSLS, so Consider TSLS estimation with a single included endogenous variable and a single instrument. Then the predicted value from the first-stage regression is   Use the definition of the sample variance and covariance to show that   Use this result to fill in the steps of the derivation in Appendix of Equation (12.4). Appendix Derivation of the Formula for the TSLS Estimator in Equation (12.4)  The first stage of TSLS is to regress X i on the instrument Z i by OLS and then compute the OLS predicted value   , and the second stage is to regress Y i on   by OLS. Accordingly, the formula for the TSLS estimator, expressed in terms of the predicted value   is the formula for the OLS estimator in Key Concept 4.2, with   replacing X i. That is,   , where   , is the sample variance of   and   is the sample covariance between Y i and    Because X i is the predicted value of X i from the first-stage regression,   , the definitions of sample variances and covariances imply that   (Exercise 12.4). Thus, the TSLS estimator can be written as   . Finally,   is the OLS slope coefficient from the first stage of TSLS, so   Substitution of this formula for   into the formula   yields the formula for the TSLS estimator in Equation (12.4).  Substitution of this formula for Consider TSLS estimation with a single included endogenous variable and a single instrument. Then the predicted value from the first-stage regression is   Use the definition of the sample variance and covariance to show that   Use this result to fill in the steps of the derivation in Appendix of Equation (12.4). Appendix Derivation of the Formula for the TSLS Estimator in Equation (12.4)  The first stage of TSLS is to regress X i on the instrument Z i by OLS and then compute the OLS predicted value   , and the second stage is to regress Y i on   by OLS. Accordingly, the formula for the TSLS estimator, expressed in terms of the predicted value   is the formula for the OLS estimator in Key Concept 4.2, with   replacing X i. That is,   , where   , is the sample variance of   and   is the sample covariance between Y i and    Because X i is the predicted value of X i from the first-stage regression,   , the definitions of sample variances and covariances imply that   (Exercise 12.4). Thus, the TSLS estimator can be written as   . Finally,   is the OLS slope coefficient from the first stage of TSLS, so   Substitution of this formula for   into the formula   yields the formula for the TSLS estimator in Equation (12.4).  into the formula Consider TSLS estimation with a single included endogenous variable and a single instrument. Then the predicted value from the first-stage regression is   Use the definition of the sample variance and covariance to show that   Use this result to fill in the steps of the derivation in Appendix of Equation (12.4). Appendix Derivation of the Formula for the TSLS Estimator in Equation (12.4)  The first stage of TSLS is to regress X i on the instrument Z i by OLS and then compute the OLS predicted value   , and the second stage is to regress Y i on   by OLS. Accordingly, the formula for the TSLS estimator, expressed in terms of the predicted value   is the formula for the OLS estimator in Key Concept 4.2, with   replacing X i. That is,   , where   , is the sample variance of   and   is the sample covariance between Y i and    Because X i is the predicted value of X i from the first-stage regression,   , the definitions of sample variances and covariances imply that   (Exercise 12.4). Thus, the TSLS estimator can be written as   . Finally,   is the OLS slope coefficient from the first stage of TSLS, so   Substitution of this formula for   into the formula   yields the formula for the TSLS estimator in Equation (12.4).  yields the formula for the TSLS estimator in Equation (12.4). Consider TSLS estimation with a single included endogenous variable and a single instrument. Then the predicted value from the first-stage regression is   Use the definition of the sample variance and covariance to show that   Use this result to fill in the steps of the derivation in Appendix of Equation (12.4). Appendix Derivation of the Formula for the TSLS Estimator in Equation (12.4)  The first stage of TSLS is to regress X i on the instrument Z i by OLS and then compute the OLS predicted value   , and the second stage is to regress Y i on   by OLS. Accordingly, the formula for the TSLS estimator, expressed in terms of the predicted value   is the formula for the OLS estimator in Key Concept 4.2, with   replacing X i. That is,   , where   , is the sample variance of   and   is the sample covariance between Y i and    Because X i is the predicted value of X i from the first-stage regression,   , the definitions of sample variances and covariances imply that   (Exercise 12.4). Thus, the TSLS estimator can be written as   . Finally,   is the OLS slope coefficient from the first stage of TSLS, so   Substitution of this formula for   into the formula   yields the formula for the TSLS estimator in Equation (12.4).
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Introduction to Econometrics 3rd Edition by James Stock, James Stock
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