Shedding new light on happiness inequality via unconditional quantile regression: The case of Japan under the Covid-19 crisis

Araki, Satoshi

doi:10.1016/j.rssm.2023.100782

Cited by 4 publications

(1 citation statement)

References 72 publications

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“…One may argue that LQR is not suitable when the outcome variable is continuous Therefore, we utilize the Recentered Influence Function (RIF) regression methodology proposed by Firpo et al (2009) to investigate the unconditional partial effects on quantiles within a regression analysis framework. Unconditional quantile regression (UQR) or RIF on quantiles is particularly useful when the dependent variable is continuous with outliers (Araki, 2023). The RIF regression method is highly resistant to the impact of outliers or other distortions on regression results, which enhances its reliability and robustness.…”

Section: Methodology and Modelmentioning

confidence: 99%

The Role of Institutions on Public Debt: A Quantile Regression Approach

Cooray,

Özmen

2023

Preprint

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Section: Methodology and Modelmentioning

confidence: 99%

The Role of Institutions on Public Debt: A Quantile Regression Approach

Cooray,

Özmen

2023

Preprint

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Low Income, Ill-being, and Gender Inequality: Explaining Cross-National Variation in the Gendered Risk of Suffering Among the Poor

Araki,

Olivos

2024

Soc Indic Res

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Scholars have long investigated the positive link between income and well-being, including its gender difference. However, little is known about (1) how low income is linked to ill-being among women and men; and (2) how their association varies depending on societal-level gender (in)equality. Filling this knowledge gap is crucial not only for scholarship but for social policy to tackle income-based disparities of ill-being. In this study, using the European Social Survey and the joint European Values Study-World Values Survey data, we conduct country-specific regressions and cross-national multilevel analyses to examine the relationship between low income, subjective ill-being (SIB), and macro-level gender parity. We first confirm that low-income individuals, regardless of gender, are more likely than their affluent counterparts to suffer from SIB in many countries. This indicates the applicability of implications derived from conventional approaches focused on the positive association between higher income and better well-being to the studies on low income and SIB. Nevertheless, the SIB risk significantly differs depending on the degree of gender inequality in that (1) both women and men face a higher likelihood of SIB in gender-inegalitarian societies; and importantly, (2) the psychological penalty for the poor is intensified under such gendered circumstances, especially among men. These results suggest that gender inequality not merely induces women’s ill-being but punishes low-income men possibly by exacerbating pressure as a breadwinner and imposing stigmas when they cannot meet gendered social expectations.

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The role of institutions on public debt: A quantile regression approach

Cooray,

Özmen

2024

International Review of Economics & Finance

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Shedding new light on happiness inequality via unconditional quantile regression: The case of Japan under the Covid-19 crisis

Cited by 4 publications

References 72 publications

The Role of Institutions on Public Debt: A Quantile Regression Approach

The Role of Institutions on Public Debt: A Quantile Regression Approach

Low Income, Ill-being, and Gender Inequality: Explaining Cross-National Variation in the Gendered Risk of Suffering Among the Poor

The role of institutions on public debt: A quantile regression approach

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