Mexico’s inter-regional inequality: a convergent process?

Mendoza-Velázquez, Alfonso; Ventosa‐Santaulària, Daniel; Germán–Soto, Vicente

doi:10.1007/s00181-017-1401-8

Cited by 10 publications

(11 citation statements)

References 18 publications

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“…The authors also emphasized that club has an association with population, human capital, and investment. Mendoza-Velázquez et al ( 2019 ) utilized various unit root tests and noted that income inequality converged in 22 out of 32 Mexican states. Ivanovski et al ( 2020 ) performed a residual augmented least squares (RALS) unit root test to investigate the inequality convergence among Australian territories and states from 1942 to 2013.…”

Section: Literature Reviewmentioning

confidence: 99%

Convergence of Income Inequality in OECD Countries Since 1870: A Multi-Method Approach with Structural Changes

2023

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This paper aims to examine convergence of income inequality in 21 OECD countries using several empirical techniques. In particular, we have used a new panel stationarity test, which allows for structural changes and cross-sectional dependence to examine the stochastic convergence of income inequality. We also employed a time series approach, residual augmented least squares-Lagrange multiplier unit root test. The empirical results show evidence for absolute, conditional, and sigma convergence. The conditional convergence test results suggest that countries are converging, but conditional on the two structural factors-economic and population growth. The stochastic convergence test results indicate the existence of convergence at the country-specific level. The results further confirm the existence of convergent clubs among OECD countries.

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Section: Literature Reviewmentioning

confidence: 99%

Convergence of Income Inequality in OECD Countries Since 1870: A Multi-Method Approach with Structural Changes

2023

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“…Recently, Mendoza-Vel azquez et al (2019) and Mendoza-Vel azquez et al (2020) have studied the club convergence hypothesis for the real regional gross domestic product (GDPR) per capita, as an indicator of income, and the ENI index as a measure of the interregional distribution of income. They examine the possibility that some Mexican states may have slow economic growth, limiting their ability to reach other states which are achieving a higher stable state, so not converge to the same steady state.…”

Section: Literature Review: the Mexican Contextmentioning

confidence: 99%

Growth and inequality in the Mexican states: Regimes, thresholds, and traps

Brida

Risso²,

Carrera

et al. 2021

Papers in Regional Science

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Using the inter-regional economic inequality index and the gross state product per capita for the Mexican states over the period 1940-2015, we apply regime dynamics and hierarchical cluster analysis for segmenting the sample into regimes of Mexican states with similar performance. Robust econometric models are studied showing the direction of causality between economic inequality and income per capita, and the existence of a U-shaped curve for the interdependence between economic growth vs economic inequality, and threshold levels. We additionally demonstrate the existence of inequality traps. The education literacy rate as a control variable indicates an inverted U-shaped curve.

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“…One of the most distinctive features of inequalities in Mexico is its geographical dimensions. From this perspective, an extensive literature addresses the spatial disparities in terms of mean income, monetary poverty or non-monetary dimensions of socio-economic development (Carrion-I-Silvestre and German-Soto 2007; Barbary 2015;OECD 2015;Bebbington et al 2016;CONEVAL 2018;Mendoza-Velázquez et al 2019). Broadly speaking, these studies emphasize that the southern states (Guerrero, Oaxaca, Chiapas, Puebla and, to a lesser extent, states of the Yucatan region) form an enclave of poverty, whereas Mexican-US border states or the Mexico metropolis exhibit significantly better development outcomes.…”

Section: Introductionmentioning

confidence: 99%

Geography of Income and Education Inequalities in Mexico: Evidence from Small Area Estimation and Exploratory Spatial Analysis

Clément

Piaser

2021

Eur J Dev Res

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This article examines the spatial distribution of income and education inequalities and their association in Mexico, focusing on the municipal level. We rely on a small area estimation methodology to construct measures of income inequality that are representative at the municipal level. We also construct variables accounting for education inequality. Based on these variables and on an exploratory spatial analysis, we emphasize a negative association between income and education inequalities, particularly salient among the poor and ethnically diverse municipalities from the southern states such as Oaxaca. Moreover, results from spatial econometrics analyses reveal the existence a U-inverted association between these two types of inequalities. Our results are discussed in relation to education returns, employment opportunities and migration.

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Mexico’s inter-regional inequality: a convergent process?

Cited by 10 publications

References 18 publications

Convergence of Income Inequality in OECD Countries Since 1870: A Multi-Method Approach with Structural Changes

Convergence of Income Inequality in OECD Countries Since 1870: A Multi-Method Approach with Structural Changes

Growth and inequality in the Mexican states: Regimes, thresholds, and traps

Geography of Income and Education Inequalities in Mexico: Evidence from Small Area Estimation and Exploratory Spatial Analysis

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