Table B1.
Imputation model of the fraction of nursing home spending
| coef. | s.e. | |
|---|---|---|
| Female | 0.024* | [0.013] |
| Black | −0.022 | [0.019] |
| Other race | 0.021 | [0.048] |
| Hispanic | −0.044 | [0.031] |
| Age (in years) | 0.035*** | [0.013] |
| Age squared over 100 | −0.017** | [0.008] |
| Less than HS | −0.005 | [0.014] |
| High school | ref. | ref. |
| Some college | 0.015 | [0.017] |
| College | 0.009 | [0.018] |
| Married | ref. | ref. |
| Divorced | 0.049** | [0.022] |
| Widowed | 0.068*** | [0.014] |
| Never married | 0.071** | [0.035] |
| Exit interview | 0.003 | [0.012] |
| log total spending (S) | −0.295*** | [0.059] |
| S squared | 0.047*** | [0.008] |
| S cube | −0.002*** | [0.000] |
| Constant | −0.983* | [0.554] |
| R-squared | 0.237 | |
| N | 4248 | |
| Distribution of the predicted fraction in wave 4&5 | ||
| Mean | 0.631 | |
| Sd | 0.209 | |
| N | 642 | |
Notes:
***
p<0.01
**
p<0.05
*
p<0.1.
The table shows a regression of the fraction of nursing home spending in the last two years to total spending on nursing homes and hospitals, using 2002-2014 HRS data on age 65+ core and exit interviews.