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. Author manuscript; available in PMC: 2021 May 1.
Published in final edited form as: J Health Econ. 2020 Feb 26;71:102306. doi: 10.1016/j.jhealeco.2020.102306

Table 4:

Heterogeneous effects of macroeconomic conditions on informal care receipt

Age 60–69 Age 70+
By education of potential care recipient No college College P(diff) No college College P(diff)


Unemployment rate −0.0137*** −0.0005 [0.00] 0.0096** −0.0039 [0.01]
(0.0036) (0.0030) (0.0039) (0.0042)
Observations 30987 21543 41068 21782
Mean dependent variable 0.113 0.054 0.211 0.126

By marital status of potential care recipient Married Not married P(diff) Married Not married P(diff)


Unemployment rate −0.0085*** −0.0047 [0.56] 0.0034 00073* [0.57]
(0.0028) (0.0052) (0.0037) (0.0046)
Observations 39289 13252 34396 28457
Mean dependent variable 0.084 0.103 0.163 0.204

By gender of potential care recipient Male Female P(diff) Male Female P(diff)


Unemployment rate −0.0089** −0.0064* [0.53] 0.0034 0.0058* [0.52]
(0.0035) (0.0034) (0.0044) (0.0039)
Observations 23404 29126 26141 36712
Mean dependent variable 0.078 0.097 0.165 0.193

Notes: Data from the HRS samples of individuals 60–69 (first three columns) and individuals 70 and over (last three columns). Aside from the columns reporting “P(diff)”, each cell reports the coefficient on the state annual unemployment rate from a separate linear probability model. The “P(diff)” columns report the p-value of the difference in coefficients between the two columns to the left. All specifications control for a quadratic in age, gender, education, marital status, race and ethnicity, number of children, share of the state population aged 18–64 and aged 65 and over, state log expenditures on total Medicaid and Medicaid HCBS services for the older population and population with physical disabilities, as well as state, year, and linear time trends by state. Standard errors, clustered by state, are in parentheses.

*

p < 0.10,

**

p < 0.05,

***

p < 0.01.