Table 3.

Factors that influence receipt of care (average marginal effects from logit models reported)

Dependent variable: Received care when needed = 1
	(1)	(2)	(3)
Women	− 0.037**	− 0.032*	− 0.028
Age	0.006	0.027**	0.022*
Rural hukou	0.015	0.023	0.024
Rural residence	− 0.036*	− 0.041**	− 0.039*
Education level (base: illiteracy)
Did not finish primary school	− 0.038	− 0.050*	− 0.052**
Finished primary school	0.003	− 0.006	− 0.004
Finished middle school	0.052*	0.045	0.045
Finished high school and above	0.016	0.000	− 0.010
No. of children	− 0.000	− 0.001	− 0.001
No. of sons	0.014	0.013	0.012
Receives a pension	0.032*	0.027	0.022
Spouse’s health status (base: no spouse)
Spouse requires care		0.032	0.048
Spouse does not require care		0.105***	0.116***
Predicted probability of receiving care
Male respondent with no spouse			0.744***
Female respondent with no spouse			0.814***
t-test (p-value)			0.118
Male respondent, spouse requires care			0.838***
Female respondent, spouse requires care			0.827***
t-test (p-value)			0.772
Male respondent, spouse does not need care			0.946***
Female respondent, spouse does not need care			0.865***
t-test (p-value)			0.000
Log-likelihood	− 661.73	− 649.20	− 641.74
Observations	1,694	1,694	1,694

Notes: Sample includes those who have care needs. In Models 1–3, the variable of age squared is controlled; in Model 3, the interaction term of female and spouse’s health status is controlled additionally.

^{***, **, *}denote statistical significance at the 1, 5, and 10 percent levels, respectively.