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. Author manuscript; available in PMC: 2023 Nov 2.
Published in final edited form as: J Health Econ. 2016 Jun 22;49:28–45. doi: 10.1016/j.jhealeco.2016.06.004

Table 3.

Aggregate announcement and implementation effects – heterogeneous effects.

Panel A: Demographic characteristics
Dependent variable:
Total prescriptions
Sub-sample: Age 66–74
Age 75–85
< = HS Educ
>HS Educ
< = Median income
>Median income
(1) (2) (3) (4) (5) (6)

Announce −1.606*** 0.157 −1.920 ** −1.177 −2.204** −0.859
(0.621) (0.592) (0.866) (0.876) (0.995) (0.879)
Implement 0.906 3.650*** 1.210 0.548 0.366 1.317
(1.115) (1.005) (1.584) (1.543) (1.721) (1.557)
t 1.779*** 1.368*** 2.038*** 1.376*** 2.437*** 1.058***
(0.240) (0.218) (0.333) (0.341) (0.363) (0.340)
Observations 20,072 21,403 11,352 8,720 10,384 9,688
Panel B: Insurance status
Dependent variable:
Total prescriptions
Sub-sample: Excluding individuals with employer drug ins.
Individuals with employer drug ins.
(1) (2) (3) (4)

Announce −2.159*** −0.498
(0.827) (1.030)
Implement 3.796*** 0.998 1.927* 1.277
(0.986) (1.478) (1.080) (1.794)
t 1.619*** 2.262*** 0.685** 0.836**
(0.223) (0.306) (0.286) (0.412)
Observations 12,760 12,760 7,312 7,312

Notes:

***

p < 0.01

**

p < 0.05

*

p < 0.1.

Clustered standard errors at the person level. Regressions are weighted and include a full set of control variables. Medicaid beneficiaries are included. Columns 3–6 in Panel A and Columns 1–4 in Panel B are estimated for the elderly aged 66–74. Median income is computed separately for each year. MCBS 2001–2006.