https://press.uni.edu.pe/index.php/ps_EDMS/issue/feed 2025-03-26T18:07:50+00:00 Econometric Modelling and Data Science Research Group emds@uni.edu.pe Open Monograph Press <p align="justify">The <strong>Series in Empirical Research (SER)</strong> publishes advances in statistical methodology, statistical learning, and their empirical applications, focusing on practical applications across various fields, including statistics, economics, demography, engineering, finance, epidemiology, and other engaging scientific disciplines.</p> <p align="justify">Our central objective is to promote original research and interesting applications that revolve around econometric and statistical methodologies, especially those motivated by a clear intention to address economic or statistical challenges rooted in real-world data applications. We also welcome and prioritize pioneering and inventive applications of modern statistical methodologies encompassing intricate approaches to the analysis of statistical data.</p> https://press.uni.edu.pe/index.php/ps_EDMS/catalog/book/19 2025-03-26T18:07:50+00:00 Anna Sikov asikov@uni.edu.pe Jose Cerda Hernandez jcerdah@uni.edu.pe Jesus Cernades Gomez cernadesgomez@hotmail.com

<p>This study applies the small area estimation model developed in Sikov and Cerda-Hernández (2024) to generate detailed maps of the percentage of households living in monetary poverty at the district level in Peru for the years 2019 and 2023. Using data from the ENAHO, the incidence of poverty was estimated at the district level, allowing for the identification of high-vulnerability clusters and the analysis of changes in the spatial distribution of poverty before and after the COVID-19 pandemic. The disaggregation and comparison at the district level reveal significant disparities, crucial for the targeting of public policies.</p> <p>Our results demonstrate that, in most departments, poverty exceeds pre-pandemic levels, indicating a setback in socioeconomic progress. Notably, Metropolitan Lima experienced a marked deterioration, with districts reaching poverty levels between 25% and 40% in 2023. This analysis underscores the need for specific and targeted interventions to mitigate the persistent impact of the pandemic and reverse the increase in poverty in the country.</p>

2025-04-07T00:00:00+00:00 Copyright (c) 2025 Series in Empirical Research