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我想使用语言 R 估计一个嵌套的 logit 模型。作为此类问题的标准包，我使用“mlogit”。现在我想估计一个模型，不止一个阶段。问题如下：

  1. 阶段：人们决定是否要移民美国。
  2. 阶段：对于所有决定移民的人，他们必须决定他们想去美国的哪个地区（美国分为6个地区）
  3. 阶段：在区域内，他们决定住在什么样的区域；城市与农村

我已经使用 mlogit.data() 转换了我的数据。

data <- mlogit.data(data = usa_canada_uk, choice = "migrant"))

这就是“数据”的样子：

                sex   marst numperhh_cat age_cat   famsize                               nchlt5 labour_code sample                               nchlt10
3888.no  female married          1-5     16+         1          no chiled aged 5 or younger not working   8262          no chiled aged 10 or younger
12874.no female married          1-5     16+ 2 or more at least one child aged 5 or younger   ancillary   8262 at least one child aged 10 or younger
13084.no female married          1-5     16+ 2 or more at least one child aged 5 or younger   ancillary   8262 at least one child aged 10 or younger
9359.yes female married          1-5     16+         1          no chiled aged 5 or younger     service   8262          no chiled aged 10 or younger
7569.no  female married          1-5     16+         1          no chiled aged 5 or younger     service   8262          no chiled aged 10 or younger
5778.no  female married          1-5     16+         1          no chiled aged 5 or younger not working   8262          no chiled aged 10 or younger
         perwt        labforce age migrant country_of_birth       region citypop urban work.prob.home work.prob.abroad migration.prob stay.prob  chid
3888.no      1     in labforce  26    TRUE   United Kingdom home_country      NA urban             NA               NA             NA        NA  3888
12874.no     1     in labforce  47    TRUE   United Kingdom home_country      NA rural             NA               NA             NA        NA 12874
13084.no     1     in labforce  22    TRUE   United Kingdom home_country      NA urban             NA               NA             NA        NA 13084
9359.yes     1     in labforce  28   FALSE   United Kingdom home_country      NA urban             NA               NA             NA        NA  9359
7569.no      1     in labforce  32    TRUE   United Kingdom home_country      NA urban             NA               NA             NA        NA  7569
5778.no      1 not in labforce  38    TRUE   United Kingdom home_country      NA rural             NA               NA             NA        NA  5778
         alt
3888.no   no
12874.no  no
13084.no  no
9359.yes yes
7569.no   no
5778.no   no

这是我的想法，我想如何编码，但它不起作用：

mlog <- mlogit(migrant ~ 1  | age + numperhh_cat + sex + famsize + work.prob.home,
             nests = list(home = c("home_country"),
                         foreign = c(region_1 = c("rural", "urban"),
                                     region_2 = c("rural", "urban"),
                                     region_3 = c("rural", "urban"),
                                     region_4 = c("rural", "urban"),
                                     region_5 = c("rural", "urban"),
                                     region_6 = c("rural", "urban"))
                                     ),
           reflevel = "yes",
           weights = perwt,
           data = data)

可以看到，第一阶段的一个巢（决定不迁移=“home_country”）是退化的。

如果有人可以帮助我，那就太棒了。

最好的祝愿，

克里斯

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