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SEM and the Analysis of Mexican Poverty Data

In: Quantitative Methods and Data Analysis in Applied Demography - Volume 2

Author

Listed:
  • James Freeman

    (Alliance Manchester Business School, University of Manchester)

  • Olivia Zhang

    (Alliance Manchester Business School, University of Manchester)

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.

Suggested Citation

  • James Freeman & Olivia Zhang, 2025. "SEM and the Analysis of Mexican Poverty Data," The Springer Series on Demographic Methods and Population Analysis, in: Christos H. Skiadas & Charilaos Skiadas (ed.), Quantitative Methods and Data Analysis in Applied Demography - Volume 2, chapter 0, pages 9-18, Springer.
    • Handle: RePEc:spr:ssdmcp:978-3-031-82279-7_2
    DOI: 10.1007/978-3-031-82279-7_2
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