Application of Regression Techniques to Measure the Impact of Social Programs in Peru

This article evaluates the effectiveness of social programs aimed at reducing poverty in the Peruvian context from 2012 to 2021. When examining the social spending of “JUNTOS”, a clear relationship was found between investment and improvement in well-being indicators of the population served. When analyzing how the program was targeted, it was discovered that “JUNTOS” efficiently directed its benefits towards rural areas and lower-income households, contributing significantly to the reduction of poverty in its different manifestations. However, the arrival of the COVID-19 pandemic posed significant challenges for the program. Despite the difficulties, “JUNTOS” maintained its effectiveness, although it encountered additional challenges related to the health situation and the 2021 general elections. In order of effectiveness and efficiency, Pensión 65 and Trabaja Perú target their beneficiaries in smaller population centers with up to 20,000 inhabitants. However, they are not efficient when considering family per capita income. On the other hand, Jóvenes a la obra and Impulsa Perú are the least efficient.

Authors

Institutions

Publication Details

Published
2024-12-10
DOI
https://doi.org/10.1109/icalter65499.2024.10819201
Primary Topic
Income, Poverty, and Inequality
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Application of Regression Techniques to Measure the Impact of Social Programs in Peru

Rafael Jimmy Caparó Coronado
Income, Poverty, and Inequality
article

Application of Regression Techniques to Measure the Impact of Social Programs in Peru

Rafael Jimmy Caparó Coronado
article en

Abstract

This article evaluates the effectiveness of social programs aimed at reducing poverty in the Peruvian context from 2012 to 2021. When examining the social spending of “JUNTOS”, a clear relationship was found between investment and improvement in well-being indicators of the population served. When analyzing how the program was targeted, it was discovered that “JUNTOS” efficiently directed its benefits towards rural areas and lower-income households, contributing significantly to the reduction of poverty in its different manifestations. However, the arrival of the COVID-19 pandemic posed significant challenges for the program. Despite the difficulties, “JUNTOS” maintained its effectiveness, although it encountered additional challenges related to the health situation and the 2021 general elections. In order of effectiveness and efficiency, Pensión 65 and Trabaja Perú target their beneficiaries in smaller population centers with up to 20,000 inhabitants. However, they are not efficient when considering family per capita income. On the other hand, Jóvenes a la obra and Impulsa Perú are the least efficient.

National University of Engineering (PE)
Reduced inequalities
Openalex Percentile: Top 59%
Income, Poverty, and Inequality
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Application of Regression Techniques to Measure the Impact of Social Programs in Peru — Rafael Jimmy Caparó Coronado · (2024) | TGRS Research Map | TGRS