全部版块 我的主页
论坛 计量经济学与统计论坛 五区 计量经济学与统计软件 HLM专版
1844 1
2014-04-13

I am running binary multilevel models on whether or not households have bank accounts. Apart from relevant economic, social and demographical household level variables I also include two contextual variables for the primary sampling units (PSU), which are either villages or urban neighborhoods. These two measure the wealth level (assets) and the educational level of the PSU’s. Because a relevant explanatory variable is whether a bank branch is within the vicinity of the household and because households in urban areas should be expected to be closer to the nearest bank branch I expect the dummy variable for URBAN to be positively associated with having a bank account. The proportion of households with bank accounts are higher in urban (53.1) than in rural (30.9) PSU’s and average wealth and educational levels are higher in urban than in rural PSU’s.

However, the dummy for URBAN has a positive sign when the two contextual variables for PSU wealth and education are not included and a negative sign when they are included. How should I interpret this?

KML


二维码

扫码加我 拉你入群

请注明:姓名-公司-职位

以便审核进群资格,未注明则拒绝

全部回复
2014-4-13 11:35:02
This sort of problem is almost exactly what Andrew Gelman found in voting patterns in different states in the USA; his Rich State, poor state, red state, blue state gives a great explanation (and is interesting if you are into politics). He found that wealthier states are more likely to vote Democratic, but wealthier people are more likely to vote Republican. Fascinating.

The single best way to see this is probably to plot the predicted probability of having a bank account against wealth and education, with separate lines for urban and rural people.
二维码

扫码加我 拉你入群

请注明:姓名-公司-职位

以便审核进群资格,未注明则拒绝

相关推荐
栏目导航
热门文章
推荐文章

说点什么

分享

扫码加好友,拉您进群
各岗位、行业、专业交流群