最近跑multinomial-logit 分析的时候遇到一些问题,麻烦各位高手解答。
下面是分析data
dependent variables
employstatusF:已婚妇女就业型态,家庭主妇=0,full-time work worker=1,part-time worker=2
independent variables
childno:小孩数
educyrsF:妇女受教育年数
age20_29,age30_39,age40_49,age50_59:妇女年龄(dummy,分吸时用age20_29为基准)
educyrsM:丈夫受教育年数
wrhrsM:丈夫工作一周时间(时)
fulltimeM:丈夫是full-time worker(dummy)
parttimeM:丈夫是part-time worker(dummy)
selfemloyedM:丈夫职业是selfemployed (dummy)
retireM:丈夫退休(dummy,分析时以selfemloyedM和retireM为基准)
incomeM:丈夫年收(1为低于70万日圆,2为70万日圆到100万日圆,3为1百万日圆到130万日圆…以此类推)
freqmeal:丈夫做家事频度
howi:对于丈夫出外赚钱,妇女在家工作的赞成程度(程度1~7,7为完全赞成)
helphw:丈夫应该帮忙做家事的赞成程度(程度1~7,7为完全赞成)
目的:想知道小孩数,丈夫的收入,年纪,做家事频率对已婚妇女就业选择的影响
以职业是家庭主妇的妇女为基准
stata分析结果:
bysort employstatusF:sum childno educyrsF age20_29 age30_39 age40_49 age50_59 educyrsM wrhrsM fulltimeM parttimeM selfemloyedM retireM incomeM freqmeal howi helphw
mlogit employstatusF childno educyrsF ageF educyrsM wrhrsM fulltimeM parttimeM incomeM freqmeal howi helphw,baseoutcome(0)
分析结果
http://imageshack.us/photo/my-images/402/30012419.jpg/
想问的问题有三个
1. 分析出来好像有bais,但是想不出来哪里有问题,希望各位帮忙看一下哪里有问题
2. incomeM(丈夫的收入)可以直接像这样放进去mlogit分析吗?还是要另外用其他方法?
3.mlogit分析完后要做说明的话是不是还要用margin再跑一次?
我是用下面的指令去跑,不知道有没有错误,麻烦指正,谢谢。
margins , dydx(childno educyrsF age30_39 age40_49 age50_59 educyrsM wrhrsM fulltimeM parttimeM incomeM freqmeal howi helphw) predict(outcome(0))
Average marginal effects Number of obs = 281
Model VCE : OIM
Expression : Pr(employstatusF==0), predict(outcome(0))
dy/dx w.r.t. : childno educyrsF age30_39 age40_49 age50_59 educyrsM wrhrsM fulltimeM
parttimeM incomeM freqmeal howi helphw
margins , dydx(childno educyrsF age30_39 age40_49 age50_59 educyrsM wrhrsM fulltimeM parttimeM incomeM freqmeal howi helphw) predict(outcome(1))
Average marginal effects Number of obs = 281
Model VCE : OIM
Expression : Pr(employstatusF==1), predict(outcome(1))
dy/dx w.r.t. : childno educyrsF age30_39 age40_49 age50_59 educyrsM wrhrsM fulltimeM
parttimeM incomeM freqmeal howi helphw
margins , dydx(childno educyrsF age30_39 age40_49 age50_59 educyrsM wrhrsM fulltimeM parttimeM incomeM freqmeal howi helphw) predict(outcome(2))
Average marginal effects Number of obs = 281
Model VCE : OIM
Expression : Pr(employstatusF==2), predict(outcome(2))
dy/dx w.r.t. : childno educyrsF age30_39 age40_49 age50_59 educyrsM wrhrsM fulltimeM
parttimeM incomeM freqmeal howi helphw
麻烦各位高手帮忙,谢谢。