其中prob=1,危机发生;prob=0,危机没有发生
我选择了10个国家的12个指标24个月的面板数据 作为样本
问题:1、这个模型应该用logit还是probit模型呢?
2、如果选择logit,是不是不一定能够适用所有的面板数据呢?也就是说,面板数据+logit是否需要有理论背景支持?
3、有些样本国家某项指标数据没有统计,这样的数据缺失(unbalance panel data)应该怎么处理?
4、我建了面板数据,使用命令
xtlogit y m2reserves m2reservesgrowth reservegrowth exportgrowth cagrowth rerdeviation m2bm inflation dcgdp gdpgrowth rlrd importgrowth cagdp
出现结果:
``````
``````
``````
Iteration 11275:log likelihood = 1.698e-15 (not concave)
Iteration 11276:log likelihood = 1.698e-15 (not concave)
Iteration 11277:log likelihood = 1.698e-15 (not concave)
`````
`````
Iteration 15995:log likelihood = 1.698e-15 (not concave)
Iteration 15996:log likelihood = 1.698e-15 (not concave)
Iteration 15997:log likelihood = 1.698e-15 (not concave)
Iteration 15998:log likelihood = 1.698e-15 (not concave)
Iteration 15999:log likelihood = 1.698e-15 (not concave)
Iteration 16000:log likelihood = 1.698e-15 (not concave)
convergence not achieved
Random-effects logistic regression Number of obs = 148
Group variable: country Number of groups = 7
Random effects u_i ~ Gaussian Obs per group: min = 4
avg = 21.1
max = 24
Wald chi2(0) = .
Log likelihood = 1.698e-15 Prob > chi2 = .
------------------------------------------------------------------------------
y | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
m2reserves | -875.0489 . . . . .
m2reserves~h | -29.85388 . . . . .
reservegro~h | -46.42867 . . . . .
exportgrowth | -59.699 . . . . .
cagrowth | -117.1609 . . . . .
rerdeviation | -2027.162 . . . . .
m2bm | 198.8079 . . . . .
inflation | -132.7961 . . . . .
dcgdp | 378.4943 . . . . .
gdpgrowth | 189.3665 . . . . .
rlrd | 251.0469 . . . . .
importgrowth | 31.8228 . . . . .
cagdp | -369.0608 . . . . .
_cons | 1659.355 . . . . .
-------------+----------------------------------------------------------------
convergence not achieved
请高手帮我看看怎么回事啊?
小女子感激不尽


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