Assessing the Impact of Immigration on Peruvian Society

A Quantitative Approach to the Analysis of Economical, Social, Educational and Governmental Indicators (2000–2022)

Bibliographic Data

ID22431321
AuthorsVictor Andres Ayma Quirita (0000-0003-2987-2761, Pontificia Universidad Católica del Perú), Walter Aliaga (0000-0003-1755-7799, University of the Pacific), Victor Hugo Ayma Quirita (0000-0002-0284-2610, Pontificia Universidad Católica del Perú), Juan David Cárdenas (0000-0001-8840-1412, Department of Engineering, Universidad del Pacífico, Jr. Gral, Jirón Luis Sánchez Cerro 2141, Jesús María, Lima 15072, Peru), Juan David Amado Cárdenas Zúñiga (0000-0002-3801-4227, University of the Pacific)
Year2026
Volume15
Issue7
Pages464
Publication date2026-07-10
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSocial Sciences (JOURNAL)
Journal identifiersISSN: 2076-0760 • E-ISSN: 2076-0760
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/socsci15070464
OpenAlexW7167903205
LanguageEN
References cited24

In this study, we conduct an exploratory and econometric assessment of the multidimensional impact of recent immigration, predominantly Venezuelan, on Peru (2000–2022). Utilizing 4565 time-series indicators, we apply a two-stage methodology: Pearson correlations to identify baseline exploratory associations, followed by Ordinary Least Squares (OLS) with temporal controls and First Differences models to isolate genuine structural effects from time-trend artifacts and spurious correlations. Econometric validation refines oversimplified public narratives. Socially, immigration robustly correlates with increased food insecurity, localized detainments, and a reduced youth demographic, while aggregate crime complaints are identified as a time-trend artifact. Economically, migration structurally stimulates income for the poorest 40% and broadens financial inclusion, despite negatively impacting aggregate macroeconomic consumption. Educationally, the influx of skilled migrants robustly drives scientific publications and increases average formal education years, though it introduces challenges like delayed primary school attendance and a negative shift in educational gender parity. Finally, perceived impacts on central government expenditures and consumption tax revenues are econometrically isolated as either time-trend artifacts or spurious correlations rather than direct migratory consequences. This approach separates true structural responses from historical inertia, providing a balanced, quantitative perspective on migration in Peru.

Aggregate data · Econometric model · Exploratory analysis · Immigration · Ordinary least squares · Spurious relationship · Agricultural risk and resilience · Food Security and Health in Diverse Populations · Migration and Labor Dynamics

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