Econometric take home APPS_Part_29

Econometric take home APPS_Part_29 - | Prob[ChiSqd > value]...

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| Prob[ChiSqd > value] = .0000000 | | Hosmer-Lemeshow chi-squared = 23.44388 | | P-value= .00284 with deg.fr. = 8 | +---------------------------------------------+ g. The restricted log likelihood given with the initial results equals -18019.55. This is the log likelihood for a model that contains only a constant term. The log likelihood for the model is -16405.94. Twice the difference is about 3,200, which vastly exceeds the critical chi squared with 5 degrees of freedom. The hypothesis would be rejected. 2. We used LIMDEP to fit the cost frontier. The dependent variable is log(Cost/Pfuel). The regressors are a constant, log(Pcapital/Pfuel), log(Plabor/Pfuel), logQ and log 2 Q. The Jondrow measure was then computed and plotted against output. There does not appear to be any relationship, though the weak relationship such as it is, is indeed, negative. +---------------------------------------------+ | Limited Dependent Variable Model - FRONTIER | | Dependent variable LCF | | Number of observations 123 | | Log likelihood function 66.86502 | | Variances: Sigma-squared(v)= .01185 | | Sigma-squared(u)= .02233 | | Sigma(v) = .10884 | | Sigma(u) = .14944 | | Sigma = Sqr[(s^2(u)+s^2(v)]= .18488 | | Stochastic Cost Frontier, e=v+u. | +---------------------------------------------+ +---------+--------------+----------------+--------+---------+----------+ |Variable | Coefficient | Standard Error |b/St.Er.|P[|Z|>z] | Mean of X|
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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_29 - | Prob[ChiSqd > value]...

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