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！！！