Income inequality in Africa, 1990–2019: Measurement, patterns, determinants

Chancel, Lucas; Cogneau, Denis; Gethin, Amory; Myczkowski, Alix; Robilliard, Anne-Sophie

doi:10.1016/j.worlddev.2022.106162

Cited by 31 publications

(32 citation statements)

References 56 publications

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“…Our model is invalid if the 'true' lower bound is uncovered by the survey. Finally, despite the widespread implementation of household surveys, the quality of survey data remains inadequate in many developing countries (Chancel et al, 2023). Our straightforward power-law model offers a simple solution for non-response bias in the upper tail of income distribution.…”

Section: Discussionmentioning

confidence: 99%

Correction of China's income inequality for missing top incomes

Wan

2023

Review Development Economics

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After accounting for top incomes missing from the Chinese Household Income Project, this paper examines the income inequality trend in China during the 21st century. Our analysis, which involves fitting the upper tail of the income distribution to a power‐law model, reveals that the authoritative income survey data miss 0.68% of the population and 6.19% of aggregate income in 2018. Despite the most recent survey data providing better coverage of top incomes, our correction is still crucial. The raw survey data indicate a consistently increasing Gini coefficient between 2002 and 2018, but the corrected index starts to decline from 2013. Meanwhile, the revised top 1% income share increases from 7.01% in 2002 to 7.89% in 2013 and then slightly decreases to 7.64% in 2018, while the revised top 10% income share stabilises at around 33% throughout the period. Notably, China's revised top 10% and top 50% income shares in 2018 are close to those of the United Kingdom but are considerably lower than those of the United States.

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Section: Discussionmentioning

confidence: 99%

Correction of China's income inequality for missing top incomes

Wan

2023

Review Development Economics

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“…More recently, Chancel et al (2023) examined the evolution of income inequality in Africa from 1990 to 2019 by combining surveys, tax data and national accounts. They report that inequality is highest in Southern Africa and lowest in Northern and Western Africa.…”

Section: Ijdi 223mentioning

confidence: 99%

Tax and income inequality: evidence from Sub-Saharan Africa

Brown

Bokpin

Sarpong‐Kumankoma

2023

IJDI

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Purpose This study aims to determine how taxes can be used to bridge income inequality gap in sub-Saharan Africa (SSA). Design/methodology/approach A panel data set of 36 SSA countries was analysed using generalised method of moments. Findings The results suggest that an increase in direct taxes relative to indirect taxes has a positive significant impact on income inequality. This is mostly due to the progressive nature of direct taxes as compared to indirect taxes. Originality/value This research contributes to the scant literature on how specific tax components affect income inequality, especially in developing countries.

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“…if income increases, consumption will also increase (Bordón-Lesme et al, 2022;Duarte et al, 2021;Qian et al, 2022); some economists consider consumption to be the engine of any economy (Pramandari et al, 2022), since as there is enough consumption, needs will be better met and firms will sell more (Christodoulides et al, 2021;Hobson et al, 2021;Montoya et al, 2023), and thus if households earn and spend some income ( (Luri Minami et al, 2021;Pottier, 2022;Saito, 2022). The level of disposable income is the main determinant of household consumption (Bohlmann & Inglesi-Lotz, 2021;Chancel et al, 2023;Yang, 2023).…”

Section: Analysis Of Household Consumptionmentioning

confidence: 99%

An Analysis of Household Consumption for the City of Chachapoyas, Amazonas

Vega¹,

Dávila²,

Pantaleón³

et al. 2023

J. Professional Business Review

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Objective: The objective of this study was to identify the profile of academic research on blended learning in the world and propose a research agenda for the topic. Theoretical framework: Recent literature has reported good results in both student performance and satisfaction in blended learning (Dziuban et al., 2004). However, there is still much to investigate and learn about BL because it is a recent development. Method: The research is descriptive was non-experimental, the sample was calculated by probabilistic sampling, for the estimation of consumption a simple model of consumption was used a general linear regression model (GLRM) that was supported by the estimation by ordinary least squares (OLS). Results and conclusion: The results show an 83.0% degree of goodness of fit. In other words, 83.0% of the variability of consumption is explained by the variability of family income. The marginal propensity of households to consume is 62.6 percent, i.e., for each additional monthly income generated, 0.62 percent of this new income is converted into consumption expenditure, taking into account all the components of consumption, and the remainder, i.e., 37.4 percent, is spent on savings or investment, bearing in mind that the economic theory of saving and investment essentially are the same. Implications of the research: The study is important because it describes consumption at the microeconomic level, using an econometric model that explains the relationship between consumption and income. Socially, it describes consumer behavior. Originality/Value: The value of the study focuses on the analysis of income with consumption through an econometric model that describes how much of the income is destined for consumption.

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Income inequality in Africa, 1990–2019: Measurement, patterns, determinants

Cited by 31 publications

References 56 publications

Correction of China's income inequality for missing top incomes

Correction of China's income inequality for missing top incomes

Tax and income inequality: evidence from Sub-Saharan Africa

An Analysis of Household Consumption for the City of Chachapoyas, Amazonas

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