------------------------------------------------------------------------------- log: c:\classes_ISU\2005_2006\econ371\solutions\ps9new.log log type: text opened on: 10 Jan 2006, 15:18:54 . use pntsprd . regress favwin spread Source | SS df MS Number of obs = 553 -------------+------------------------------ F( 1, 551) = 68.57 Model | 11.0636261 1 11.0636261 Prob > F = 0.0000 Residual | 88.9038241 551 .161349953 R-squared = 0.1107 -------------+------------------------------ Adj R-squared = 0.1091 Total | 99.9674503 552 .181100453 Root MSE = .40168 ------------------------------------------------------------------------------ favwin | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- spread | .0193655 .0023386 8.28 0.000 .0147718 .0239593 _cons | .5769492 .0282345 20.43 0.000 .5214888 .6324097 ------------------------------------------------------------------------------ . probit favwin spread Iteration 0: log likelihood = -302.74988 Iteration 1: log likelihood = -266.49244 Iteration 2: log likelihood = -263.62542 Iteration 3: log likelihood = -263.56223 Iteration 4: log likelihood = -263.56219 Probit regression Number of obs = 553 LR chi2(1) = 78.38 Prob > chi2 = 0.0000 Log likelihood = -263.56219 Pseudo R2 = 0.1294 ------------------------------------------------------------------------------ favwin | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- spread | .092463 .0121811 7.59 0.000 .0685885 .1163374 _cons | -.0105926 .1037469 -0.10 0.919 -.2139328 .1927476 ------------------------------------------------------------------------------ . dprobit favwin spread Iteration 0: log likelihood = -302.74988 Iteration 1: log likelihood = -266.49244 Iteration 2: log likelihood = -263.62542 Iteration 3: log likelihood = -263.56223 Iteration 4: log likelihood = -263.56219 Probit regression, reporting marginal effects Number of obs = 553 LR chi2(1) = 78.38 Prob > chi2 = 0.0000 Log likelihood = -263.56219 Pseudo R2 = 0.1294 ------------------------------------------------------------------------------ favwin | dF/dx Std. Err. z P>|z| x-bar [ 95% C.I. ] ---------+-------------------------------------------------------------------- spread | .0250833 .0028961 7.59 0.000 9.61302 .019407 .03076 ---------+-------------------------------------------------------------------- obs. P | .7631103 pred. P | .8100975 (at x-bar) ------------------------------------------------------------------------------ z and P>|z| correspond to the test of the underlying coefficient being 0 Ordered probit regression Number of obs = 857 LR chi2(2) = 283.04 Prob > chi2 = 0.0000 Log likelihood = -639.14389 Pseudo R2 = 0.1813 ------------------------------------------------------------------------------ edcat | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- IQ | .0402345 .0032174 12.51 0.000 .0339286 .0465405 meduc | .105154 .016004 6.57 0.000 .0737868 .1365213 -------------+---------------------------------------------------------------- /cut1 | 3.437014 .3124523 2.824619 4.049409 /cut2 | 5.211653 .3382572 4.548681 5.874625 ------------------------------------------------------------------------------