A Dynamic Latent Model for Poverty Measurement

DOI10.1080/03610926.2013.810267zbMath1414.91296OpenAlexW1980309981MaRDI QIDQ2807626

Luca De Angelis, Michele Costa

Publication date: 25 May 2016

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2013.810267

zbMATH Keywords

unobserved heterogeneitypoverty measurementlongitudinal analysismixture latent Markov modeltransitory and permanent poverty

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Economic time series analysis (91B84) Statistical methods; economic indices and measures (91B82)

Related Items (1)

Perturbation analysis for dynamic poverty indexes

Uses Software

• Latent GOLD

Cites Work

• Measuring lifetime poverty
• Hidden Markov models for alcoholism treatment trial data
• Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions
• Estimating the dimension of a model
• Mixed Hidden Markov Models for Longitudinal Data: An Overview
• Fuzzy Set Approach to Multidimensional Poverty Measurement
• Bayesian Methods for Hidden Markov Models
• Mixed Hidden Markov Models
• Hidden Markov Models for Time Series

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