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IV/2SLS models

IV/2SLS models. Z i =0. Z i =1.  0 =0.80.  1 =0.57.  0 =3186.  1 =3278. Right hand term is (1/F) for the null hypothesis That the coefficients in the 1 st stage are all zero.  1.  o. Β iv = (  1 -  0 )/(  1 -  0 ) = -487.8/0.159 = $3067.9

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IV/2SLS models

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  1. IV/2SLS models

  2. Zi=0 Zi=1 0=0.80 1=0.57

  3. 0=3186 1=3278

  4. Right hand term is (1/F) for the null hypothesis That the coefficients in the 1st stage are all zero

  5. 1 o

  6. Βiv= (1 - 0)/(1 - 0) = -487.8/0.159 = $3067.9 CPI78 = 65.2 CPI81=90.9 65.2/90.9 = .7173 .717*3067.92 = $2199

  7. Correlation coefficient

  8. OLS of bivariate model IV of bivariate Model (Wald Est) 0.0020246/0.0291243 = 0.0695 Ratio of std errors should equal corr coef From previous page

  9. First stage regression with two instruments

  10. Notice t-stat on Reduced form Is almost the same As t-stat in 2SLS 0.12/.028 = 4.285 IV estimate -0.0083481/0.0694 = -0.12031

  11. LIST OF EXOGENOUS VARIABLES ALL VARIABLES NOT IN LIST ARE CONSIDERED ENDOGENOUS STRUCTURAL MODEL

  12. 2SLS by IVREGRESS

  13. 2SLS Worked for Pay Model, 2 instruments

  14. Can reject at 5.1 percent the null the coefficients are The same

  15. R2 is useless because of Rounding – must calculate yourself Output residuals from 2LSL model Regress on all exo factors Get test of overid by brute force

  16. SSM = 1.467 • SST = 60444.5 • R2 = SSM/SST = 2.43E-5 • N = 254654 • NR2 = 6.18 • Dist as χ2(1) • P-value of 6.18 is 0.0129

  17. Example • Suppose a school district requires that a child turn 6 by October 31 in the 1st grade • Has compulsory education until age 18 • Consider two kids • One born Oct 1, 1960 • Another born Nov 1,1960

  18. Oct 1, 1960 • Starts school in 1966 (age 5) • Turns 6 a few months into school • Starts senior year in 1977 (age 16) • Does not turn 18 until after HS school is over • Nov 1, 1960 • Start school in 1967 (age 6) • Turns 7 a few months into school • Starts senior year in 1978 (age 17) • Turns 18 midway through senior year

  19. Ratio of Std errors is 0.0003386/0.0239 = 0.0125 Abs[Rho(qob1,educ)] =0.0142

  20. The number you get

  21. First-stage Reduced-forms -0.0110989/-0.1088179=.101995

  22. Wald Estimate

  23. OLS, Table V, Column (1)

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