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Assessing the Effect of Conditional Cash Transfers in Children Chronic Stunting: The Human Development Bonus in Ecuador
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Analiti a, Revista de análisis estadístico, Vol. 13 (1), 2017
Table 8:
First stage (non-parametric)
VARIABLES
(1)
(2)
(3)
Conventional
0,140** 0,185** 0,214***
(0,063) (0,0817) (0,0776)
Bias-corrected
0,177*** 0,205** 0,237***
(0,063) (0,0817) (0,0776)
Robust
0,177** 0,205** 0,237***
(0,0767) (0,0918) (0,0887)
Controls
NO NO YES
Observations
6,321 6,321
6,321
Obs. left main-bandwidth
549
637
627
Obs. right main-bandwidth
593
713
704
Obs. left bias-bandwidth
700
803
768
Obs. right bias-bandwidth
816
973
897
Conventional p-value
0,0261 0,0233 0,0059
Robust p-value
0,0208 0,0258 0,00747
Order Loc. Poly. (p)
1
2
2
Order Bias (q)
2
3
3
BW Loc. Poly. (h)
5.252 6.338
6.248
BW Bias (b)
7.272 8.553
8.015
Standard errors in parentheses
*** p
<
0,01, ** p
<
0,05, * p
<
0,1
Note:
(1), (2) and (3) present non-parametric estimates of the effect of the eligibility
status on the actual treatment. The table shows conventional, bias-corrected and
robust estimates, and the specificities of the sample since the bandwidths are data-
driven. They are all significant and positive. For instance, the quadratic specification
robust estimate can be interpreted as an increase in 24% percent in the probability of
receiving BDH for households in the vicinity (1331 observations) with values for the
RSII index as lower as 28.2
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