Impact of the conditional cash transfer program’ on the monthly food expenditure of household beneficiaries
Norberto E. Milla
Abstract:
Philippines is among the many countries which has a perennial problem on
poverty. The country has made various ways to reduce its poverty rate; one is
through conditional cash transfer (CCT) scheme. This study measured the impact
of CCT Program, particularly on food consumption among its household
beneficiaries using Propensity Score Matching (PSM). Impact is measured in terms
of the Average Treatment Effect on the Treated (ATT) using four matching
algorithms: Nearest Neighbor Matching, Caliper (Radius) Matching, Kernel
Matching, and Local Linear Regression matching. Binary logistic regression was
used to identify covariates influencing program participation which include having
children who are 6-12 years old, education of the household heads' spouses, marital
status and sex of the household head, housing tenure, and ownership of household
assets. Balance test indicates nonsignificant difference between 4Ps and non-4Ps
beneficiaries across these covariates. Of the four matching algorithms, the Caliper
(radius) matching generated ATT estimate with the least standard error. On the
average, using the Caliper matching method, the monthly food expenditure of the
household beneficiaries have significantly increased by PHP501.39. Thus, the CCT
program of the government has brought significant improvement on the household
beneficiaries, not only on education, health, and nutrition but also on their monthly
food expenditure. It is recommended that the implementation of the CCT program
should be strengthened, sustained, and maintained properly and orderly to
gradually alleviate the current poverty conditions in the identified poor barangays
around the nation. Moreover, the implementing agencies should consistently
monitor the proper and synchronized implementation of the program in order to
wholly purge the intergenerational transmission of poverty which is a perennial
experience of the households who belong to the poorest populace in the country.
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ISSN 0116-0710 (Print)