The dynamics of social deprivation in Mexico

José Carlos Ramírez; Vivian Kadelbach; Leovardo Mata

doi:10.47872/laer-2021-30-2

The dynamics of social deprivation in Mexico

José Carlos Ramírez, Vivian Kadelbach, Leovardo Mata

Anahuac Mexico Universtiy

Research output: Contribution to journal › Article › peer-review

Abstract

This paper aims to model the dynamics of social deprivation in Mexico using a Markovian approach. First, we establish a scenario where a list of items characterizing social deprivation evolves as a first-order Markov chain under the sample period (2002-2012). Then, we estimate latent states and ergodic vectors of a hidden-Markov model to verify the strength of the conclusions drawn from such a scenario. After collecting results from both kinds of analyses, we find a similar pattern of impoverishment. The paper’s conclusions state that the evolution of Mexico’s deprivation profile may slightly worsen soon.

Original language	English
Article number	2
Journal	Latin American Economic Review
Volume	30
DOIs	https://doi.org/10.47872/laer-2021-30-2
State	Published - 1 Jan 2021

Keywords

Ergodic vectors
Hidden and direct Markov models
Latent states
Mexico’s social deprivation
Poverty profile

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10.47872/laer-2021-30-2

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title = "The dynamics of social deprivation in Mexico",

abstract = "This paper aims to model the dynamics of social deprivation in Mexico using a Markovian approach. First, we establish a scenario where a list of items characterizing social deprivation evolves as a first-order Markov chain under the sample period (2002-2012). Then, we estimate latent states and ergodic vectors of a hidden-Markov model to verify the strength of the conclusions drawn from such a scenario. After collecting results from both kinds of analyses, we find a similar pattern of impoverishment. The paper{\textquoteright}s conclusions state that the evolution of Mexico{\textquoteright}s deprivation profile may slightly worsen soon.",

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AB - This paper aims to model the dynamics of social deprivation in Mexico using a Markovian approach. First, we establish a scenario where a list of items characterizing social deprivation evolves as a first-order Markov chain under the sample period (2002-2012). Then, we estimate latent states and ergodic vectors of a hidden-Markov model to verify the strength of the conclusions drawn from such a scenario. After collecting results from both kinds of analyses, we find a similar pattern of impoverishment. The paper’s conclusions state that the evolution of Mexico’s deprivation profile may slightly worsen soon.

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The dynamics of social deprivation in Mexico

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Keywords

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