Bibliographic citations
Cervera, R., (2024). Análisis de vulnerabilidad en el Perú a partir del desarrollo de modelos de regresión logísticos mediante la utilización del software Stata [Pontificia Universidad Católica del Perú]. http://hdl.handle.net/20.500.12404/28793
Cervera, R., Análisis de vulnerabilidad en el Perú a partir del desarrollo de modelos de regresión logísticos mediante la utilización del software Stata []. PE: Pontificia Universidad Católica del Perú; 2024. http://hdl.handle.net/20.500.12404/28793
@misc{renati/1665704,
title = "Análisis de vulnerabilidad en el Perú a partir del desarrollo de modelos de regresión logísticos mediante la utilización del software Stata",
author = "Cervera Pinday, Renzo Junior",
publisher = "Pontificia Universidad Católica del Perú",
year = "2024"
}
The present investigation was oriented to determine the factors that influence vulnerability to natural disasters in Peru, period 2021. In this context, to respond to this objective, the methodology contemplated was of a quantitative nature, of a correlational level, of documentary analysis with information extracted from ENAHO - 2021, which was processed in the Stata 16 statistical program using the logit model methodology, in addition, it must be specified that the total sample consisted of 109,867 individuals. The results of the logistic regression (Logit) indicate that the factors associated with the characteristics of the dwelling and the household, the characteristics of the household members, education and employment, and income significantly influence the probability of being vulnerable or not to natural disasters, however, factors associated with health do not significantly influence vulnerability. Finally, it is concluded that the factors significantly correlated with vulnerability to natural disasters are: Type of dwelling, predominant wall material, predominant floor material, predominant roof material, housing construction with technical assistance from a civil engineer or architect, age, area of residence, educational level, availability of internet in the home and gross income.
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