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. Author manuscript; available in PMC: 2019 Oct 1.
Published in final edited form as: Economica. 2018 May 25;85(340):671–700. doi: 10.1111/ecca.12271

Table 4.

Estimated Impacts of Treatment on Insurance Usage

Have insurance Received insurance benefits Used cashless facility Received reimbursement Expect to receive reimbursement
(1) (2) (3) (4) (5)
Panel A: For each major health event (self-reported)
Treatment 0.510***
(0.035)
0.0030***
(0.0006)
0.0016***
(0.0004)
0.0018***
(0.0005)
0.045***
(0.012)
Control group mean 0.057 0.0003 0.0001 0.0002 0.012
Number of events 25,072 25,072 25,072 25,072 25,072
Panel B: For each client (self-reported)
Treatment 0.683***
(0.0402)
0.0106***
(0.0019)
0.0055***
(0.0014)
0.0062***
(0.0016)
0.091***
(0.0231)
Control group mean 0.0573 0.0003 0.0001 0.0002 0.0119
Number of clients 6941 6941 6941 6941 6941
Panel C: For each client (administrative data)
Treatment 0.842***
(0.018)
0.075***
(0.007)
0.026***
(0.004)
0.053***
(0.007)
Control group mean 0 0 0 0
Number of clients 6941 6941 6941 6941

Notes

For each ‘major health event’ surveyed, panel A reports the estimated impact of treatment (imposing the insurance requirement) on clients’ self-reported insurance usage for that event: whether clients self-report the affected person having insurance at the time of the event (column (1)); whether clients self-report having received any insurance benefits from that event, through the affected person either using a cashless facility or receiving reimbursement (column (2)); whether clients self-report the affected person used a cashless facility (column (3)) or they received reimbursement (column (4)); or whether clients self-report expecting to receive reimbursement from the insurance policy (column (5)). Panel B aggregates the ‘major health events’ by client, indicating the impact of treatment on whether clients self-report any affected person in their household having: had insurance for any surveyed event (column (1)); received insurance benefits for any surveyed event (column (2)); used a cashless facility for any surveyed event (column (3)); received reimbursement for any surveyed event (column (4)); or expect to receive reimbursement for any surveyed event (column (5)). Panel C uses administrative claims data, merged to clients ever surveyed on a major health event, to report the impact of treatment on whether the client or persons covered under the client’s insurance policy: were ever enrolled in insurance (column (1)); ever received insurance benefits (column (2)); ever used a cashless facility (column (3)); or ever received reimbursement (column (4)). All regressions control for the randomization stratification groups (SKS branch and above/below median number of clients within branch), and robust standard errors clustered by village are reported in parentheses.

***, **, *

denote statistical significance at the 1%, 5%, 10% level, respectively.