Intergenerational Occupational Mobility by Migratory Origin in Buenos Aires, 2021-2023

A dataset analyzing intergenerational social mobility by family migratory origin in the Buenos Aires Metropolitan Area. It uses pooled data from two probabilistic surveys (2021 and 2023) and applies multinomial logistic regression and social network analysis. The research was authored by Pablo Dalle and last updated in May 2026.

Use Cases

• Modeling class attainment probabilities based on migratory origin and education using multinomial logistic regression.
• Analyzing micro-level occupational trajectories and network structures among migrant groups.
• Identifying occupations that act as springboards for upward mobility or magnets for class reproduction.
• Comparing long-term mobility outcomes between descendants of European immigrants and those of internal or Latin American origin.

Strengths

• Data is sourced from two recent probabilistic surveys conducted in 2021 and 2023.
• Analysis employs both regression modeling and social network analysis (SNA) for a multi-method approach.
• The dataset has a specific geographic focus on the Buenos Aires Metropolitan Area.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small (23.8 KB), indicating limited scope or aggregated summary data.

Provenance

Source

Pablo Dalle via figshare.

Collection Method

Pooled data from two probabilistic surveys.

Time Range

Surveys from 2021 and 2023.

Freshness

Last updated 2026-05-21 04:37:10; freshness should be verified.

Geography

Buenos Aires Metropolitan Area, Argentina.