Abstract
We analyze the treatment effects due to patients' status, covered or uncovered by the subsidized health program in Medellin (Colombia), on the number of preventive health care visits to physicians. We use a Bayesian endogenous switching model that allows interaction effects as well as endogeneity due to patients' status. This framework allows the calculation of the posterior distributions of heterogeneous treatment effects and presents Bayesian learning of the covariance between the two potential outcomes, a relevant policy-maker parameter, even though we do not observe individuals in both states at the same time. We found that there are self-selection effects as well as moral hazard, which may imply adverse consequences for the health care system in Colombia.
| Original language | English |
|---|---|
| Number of pages | 30 |
| Journal | Empirical Economics: A quarterly journal of the Institute for Advanced Studies |
| DOIs | |
| Publication status | Accepted/In press - 2020 |
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Keywords
- DEMAND
- Endogenous switching
- INSURANCE
- OUTCOMES
- Ordered response
- Potential outcome
- SELECTION MODEL
- Subsidized health program
- Treatment effects
Cite this
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Bayesian treatment effects due to a subsidized health program : The case of preventive health care utilization in Medellin (Colombia). / Ramírez-Hassan, Andrés; Guerra Urzola, Rosember.
In: Empirical Economics: A quarterly journal of the Institute for Advanced Studies, 2020.Research output: Contribution to journal › Article › Scientific › peer-review
TY - JOUR
T1 - Bayesian treatment effects due to a subsidized health program
T2 - The case of preventive health care utilization in Medellin (Colombia)
AU - Ramírez-Hassan, Andrés
AU - Guerra Urzola, Rosember
PY - 2020
Y1 - 2020
N2 - We analyze the treatment effects due to patients' status, covered or uncovered by the subsidized health program in Medellin (Colombia), on the number of preventive health care visits to physicians. We use a Bayesian endogenous switching model that allows interaction effects as well as endogeneity due to patients' status. This framework allows the calculation of the posterior distributions of heterogeneous treatment effects and presents Bayesian learning of the covariance between the two potential outcomes, a relevant policy-maker parameter, even though we do not observe individuals in both states at the same time. We found that there are self-selection effects as well as moral hazard, which may imply adverse consequences for the health care system in Colombia.
AB - We analyze the treatment effects due to patients' status, covered or uncovered by the subsidized health program in Medellin (Colombia), on the number of preventive health care visits to physicians. We use a Bayesian endogenous switching model that allows interaction effects as well as endogeneity due to patients' status. This framework allows the calculation of the posterior distributions of heterogeneous treatment effects and presents Bayesian learning of the covariance between the two potential outcomes, a relevant policy-maker parameter, even though we do not observe individuals in both states at the same time. We found that there are self-selection effects as well as moral hazard, which may imply adverse consequences for the health care system in Colombia.
KW - DEMAND
KW - Endogenous switching
KW - INSURANCE
KW - OUTCOMES
KW - Ordered response
KW - Potential outcome
KW - SELECTION MODEL
KW - Subsidized health program
KW - Treatment effects
U2 - 10.1007/s00181-019-01796-0
DO - 10.1007/s00181-019-01796-0
M3 - Article
JO - Empirical Economics: A quarterly journal of the Institute for Advanced Studies
JF - Empirical Economics: A quarterly journal of the Institute for Advanced Studies
SN - 1435-8921
ER -