mvtobit (ah=financial_literacy male age risk health urban business married inc familysize) (
> dh=financial_literacy male age risk health urban business married inc familysize) (ah=financ
> ial_literacy male age risk health urban business married inc familysize)
Running Stata version 9 or higher. You should consider installing cmp.
Fitting univariate models (Tobit or continuous) to get starting values
Maximum # of censored equations is 3
Draws (Halton/pseudo random) are being made:
unrecognized command: mdraws
r(199);
以上是我使用mvtobit分析三个相关的方程,却无法得到结果,本人研一小白,不知道错在哪里,有没有大神帮忙分析一下。
ah是资产,dh是负债,nh是净资产,后面是一些解释变量。
另外,我help mvtobit给的例子后面都加一些选项,能不能解释一下这些选项是什么意思,在什么情况下加?它给的解释看不懂例如,
Examples
. mvtobit (y1 = x11 x12) (y2 = x21 x22)
. mvtobit (y1 = x11 x12) (y2 = x21 x22) (y3 = x31 x32), dr(20) an
. constraint define 1 [y1]x11 = [y2]x22
. mvtobit (y1 = x11 x12) (y2 = x21 x22) (y3 = x31 x32), dr(20) an
constraints(1)
help的结果是这样的,
Multivariate tobit models estimated by maximum simulated likelihood
mvtobit equation1 equation2 ... equationM [weight] [if exp] [in range] [,
draws(#) an seed(#) beta0 atrho0(matrix_name) prefix(string)
burn(integer) random hrandom shuffle adoonly primes(matrix_name)
init(matrix_name) robust cluster(varname) constraints(numlist)
level(#) maximize_options ]
有没有大神懂这个的,跪求解答!!!


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