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用panel data计算银行cost efficiency
命令行:
xtfrontier lntotalcost lntotalloans lnotherassets lnpriceofdeposits lnpriceo flabour lnpriceofcapital, ti cost
最后predict ce怎么出来的cost efficiency 都是大于10 的啊。
下面是结果
Time-invariant inefficiency model Number of obs = 5354
Group variable: firm Number of groups = 536
Obs per group: min = 9
avg = 10.0
max = 10
Wald chi2(5) = 11643.33
Log likelihood = -708.45885 Prob > chi2 = 0.0000
------------------------------------------------------------------------------
lntotalcost | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
lntotalloans | .4791642 .0078027 61.41 0.000 .4638712 .4944572
lnotherass~s | .2611155 .0066946 39.00 0.000 .2479944 .2742367
lnpriceofd~s | .2785457 .0040877 68.14 0.000 .270534 .2865574
lnpriceofl~r | .2101358 .0148205 14.18 0.000 .1810882 .2391833
lnpriceofc~l | .0611495 .0068211 8.96 0.000 .0477805 .0745186
_cons | .4715397 .1178255 4.00 0.000 .240606 .7024735
-------------+----------------------------------------------------------------
/mu | 1.126286 .0585713 19.23 0.000 1.011488 1.241083
/lnsigma2 | -.8751601 .0843965 -10.37 0.000 -1.040574 -.709746
/ilgtgamma | 1.980591 .100981 19.61 0.000 1.782672 2.17851
-------------+----------------------------------------------------------------
sigma2 | .4167953 .0351761 .3532518 .4917691
gamma | .8787441 .0107598 .8560264 .898303
sigma_u2 | .3662564 .0352858 .2970975 .4354153
sigma_v2 | .0505389 .0010569 .0484673 .0526104
------------------------------------------------------------------------------
下面是效率值结果的例子
ce
14.96819
15.10366
15.09848
15.20703
15.20067
14.90292
14.81123
14.89664
14.65928
14.40867
15.00856
15.16379
15.17336
15.31547
15.23525
15.11966
15.03767
15.03687
15.01399
14.69524
10.31387
10.7782
10.99763
11.32943
11.42442
11.24744
11.44549
11.74551