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. Author manuscript; available in PMC: 2025 Sep 1.
Published in final edited form as: World Dev. 2024 May 20;181:106659. doi: 10.1016/j.worlddev.2024.106659

Table 5:

Parallel trends test of EMB effects

Health problem in past 30 days Received care to address health problem Received preventive services
DD/ DDD interaction (1) (2) (3)
Panel A: Difference-in-difference
PRE = 1 × EMB = 1 −0.00857
(0.0158)
0.00955
(0.0167)
−0.00231
(0.0102)
N 122,308 55,954 76,502
PRE = 1 × longEMB = 1 −0.00182
(0.0155)
0.00587
(0.0166)
0.00327
(0.0102)
N 122,308 55,954 76,502
Panel B: Triple-differences
PRE = 1 × EMB = 1 × ind = 1 0.0113
(0.0307)
−0.0301
(0.0371)
−0.000122
(0.0246)
N 122,308 55,954 76,502
PRE = 1 × longEMB = 1 × ind = 1 −0.0268
(0.0306)
−0.0244
(0.0374)
0.000118
(0.0246)
N 122,308 55,954 76,502
Demographic controls No No No
Weather and climate controls No No No

Notes: PRE=1 indicates individuals surveyed in the 2006 ECV, while PRE=0 refers to those surveyed in the 2012 ENSANUT. EMB=1 flags individuals from cantons where the EMB program began before the ENSANUT survey was conducted. longEMB=1 represents individuals living in cantons with EMB exposure longer than the median number of weeks. Ind=1 represents cantons where the concentration of indigenous populations is larger than the mean at the national level. Standard errors in parentheses:

*

p<0.10,

**

p<0.05,

***

p<0.01.