SEM and the Analysis of Mexican Poverty Data

James Freeman and Olivia Zhang
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James Freeman: Alliance Manchester Business School, University of Manchester
Olivia Zhang: Alliance Manchester Business School, University of Manchester

Chapter Chapter 2 in Quantitative Methods and Data Analysis in Applied Demography - Volume 2, 2025, pp 9-18 from Springer

Abstract: Abstract The study focuses on poverty in Mexico - and the potential impact of a range of cultural and social indicators on the phenomenon. Three different levels of poverty (“feeding”, “capability” and “asset”) are considered in the analysis. Two datasets from the literature – for 2000 and 2010 respectively - form the basis of the structural equation modelling (SEM) results that follow. As the application shows, SEM provides a novel - and insightful - alternative to traditional regression methodology tried in the past.

Keywords: Factor analysis; Mexico; Poverty; SEM (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssdmcp:978-3-031-82279-7_2

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DOI: 10.1007/978-3-031-82279-7_2

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