Econometric take home APPS_Part_25

Econometric take home APPS_Part_25 - | Log likelihood...

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| Log likelihood function -307.2955 | | Restricted log likelihood -337.6885 | | Chi squared 60.78608 | | Degrees of freedom 5 | | Prob[ChiSqd > value] = .0000000 | | Hosmer-Lemeshow chi-squared = 5.74742 | | P-value= .67550 with deg.fr. = 8 | +---------------------------------------------+ +---------+--------------+----------------+--------+---------+----------+ |Variable | Coefficient | Standard Error |b/St.Er.|P[|Z|>z] | Mean of X| +---------+--------------+----------------+--------+---------+----------+ Index function for probability Z2 -.2202376072E-01 .10177371E-01 -2.164 .0305 32.487521 Z3 .5990084920E-01 .17086004E-01 3.506 .0005 8.1776955 Z5 -.1836462412 .51493239E-01 -3.566 .0004 3.1164725 Z7 .3751312008E-01 .32844576E-01 1.142 .2534 4.1946755 Z8 -.2729824396 .52473295E-01 -5.202 .0000 3.9317804 Constant .9766647244 .36104809 2.705 .0068 +---------------------------------------------+ | Seimparametric Binary Choice Model | | Maximum Likelihood Estimates | | Model estimated: Jul 31, 2002 at 11:01:24PM.| | Dependent variable P | | Weighting variable None | | Number of observations 601 | | Iterations completed 13 | | Log likelihood function -334.7367 | | Restricted log likelihood -337.6885 | | Chi squared 5.903551 | | Degrees of freedom 4 | | Prob[ChiSqd > value] = .2064679 | | Hosmer-Lemeshow chi-squared = 118.69649 | | P-value= .00000 with deg.fr. = 8 | | Logistic kernel fn. Bandwidth = .34423 | +---------------------------------------------+ +---------+--------------+----------------+--------+---------+----------+ |Variable | Coefficient | Standard Error |b/St.Er.|P[|Z|>z] | Mean of X| +---------+--------------+----------------+--------+---------+----------+ Characteristics in numerator of Prob[Y = 1] Z2 -.3284308221E-01 .52254249E-01 -.629 .5297 32.487521 Z3 .1089817386 .86483083E-01 1.260 .2076 8.1776955 Z5 -.2384951835 .23320058 -1.023 .3064 3.1164725 Z7 -.1026067037 .17130225 -.599 .5492 4.1946755 Z8 -.1892263132 .21598982 -.876 .3810 3.9317804 Constant .0000000000 . ....... (Fixed Parameter). ....... 99
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The probit model produces a set of marginal effects, as discussed in the text. These cannot be computed for the Klein and Spady estimator. +-------------------------------------------+ | Partial derivatives of E[y] = F[*] with | | respect to the vector of characteristics. | | They are computed at the means of the Xs. | | Observations used for means are All Obs.
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This note was uploaded on 11/13/2011 for the course ECE 4105 taught by Professor Dr.fang during the Spring '10 term at University of Florida.

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Econometric take home APPS_Part_25 - | Log likelihood...

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