看结果,用模型95的话,只看the final mle estimates are后面的结果么?前面的一点都不用管么?1、beta系数反应的就是投入的弹性是吗?t值是看绝对值还是正负意义不同?
2、我有几个变量计算时除以1000,算出来的系数是不是还要乘以1000?t值用乘么?
3、gamma值0.46说明什么呢?是不是说只有46%是由技术无效率造成的?是不是gamma趋于1越好么?
急求各位大侠路过指点!不胜感激!
the final mle estimates are :
coefficient standard-error t-ratio
beta 0 0.24039720E+01 0.98255136E+00 0.24466629E+01
beta 1 0.20777385E-01 0.77954467E+00 0.26653232E-01
beta 2 -0.79639805E-02 0.16906159E-01 -0.47106977E+00
beta 3 0.11871248E+00 0.86418775E+00 0.13736885E+00
beta 4 0.83607394E+00 0.82307595E+00 0.10157920E+01
beta 5 -0.77774846E-01 0.92894065E+00 -0.83724236E-01
beta 6 0.18855634E+00 0.93626875E+00 0.20139125E+00
beta 7 -0.11589798E+01 0.92040495E+00 -0.12592064E+01
beta 8 -0.34567894E+00 0.62018186E+00 -0.55738318E+00
beta 9 0.18287981E+00 0.82300452E+00 0.22220998E+00
beta10 0.11377081E+00 0.58005642E+00 0.19613748E+00
beta11 0.13241202E-01 0.77098736E+00 0.17174344E-01
beta12 0.16601656E+00 0.79475991E+00 0.20888894E+00
beta13 -0.16803943E+00 0.63080252E+00 -0.26638991E+00
beta14 -0.69787061E-01 0.79912964E+00 -0.87328837E-01
beta15 -0.33689459E-01 0.81112280E+00 -0.41534351E-01
beta16 0.73464203E-01 0.68915518E+00 0.10660038E+00
beta17 -0.14206013E-01 0.85952643E+00 -0.16527721E-01
beta18 0.15845619E+00 0.25494319E+00 0.62153528E+00
beta19 0.34383949E-01 0.48020770E+00 0.71602245E-01
beta20 -0.14108271E+00 0.76504065E+00 -0.18441204E+00
beta21 0.80196083E-01 0.28061664E+00 0.28578520E+00
beta22 0.31836605E+00 0.67307284E+00 0.47300386E+00
beta23 -0.28604038E-01 0.78554038E-01 -0.36413198E+00
beta24 0.14695372E-01 0.76175766E-01 0.19291400E+00
beta25 -0.17280552E-01 0.76392665E-01 -0.22620696E+00
beta26 -0.68300862E-02 0.22409908E-01 -0.30477975E+00
beta27 0.29078541E-01 0.65842118E-01 0.44164042E+00
delta 0 -0.55038414E-01 0.91655595E+00 -0.60049158E-01
delta 1 0.19324581E+00 0.37814989E+00 0.51102967E+00
delta 2 -0.46936588E-01 0.63920406E+00 -0.73429740E-01
delta 3 0.78103238E-02 0.69862581E-01 0.11179552E+00
delta 4 0.59034089E-01 0.97366734E+00 0.60630655E-01
delta 5 -0.25207839E+00 0.47350029E+00 -0.53237219E+00
sigma-squared 0.14382390E+00 0.13261231E+00 0.10845442E+01
gamma 0.46042953E+00 0.97889339E+00 0.47035717E+00
log likelihood function = -0.40620634E+03
LR test of the one-sided error = 0.25414885E+02
with number of restrictions = 7
[note that this statistic has a mixed chi-square distribution]
number of iterations = 21


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