Income inequality, unemployment, and government transfer: what do their dynamics tell us

Purpose In this research, we explore the dynamics among measures of income inequality in the USA, male and female unemployment rates and growth in government transfer using time series data. Design/methodology/approach This research adopts a macro-econometric approach to estimate a structural VAR model using time series data. Findings Our structural impulse responses found that growth in government transfer increases unemployment rates for both males and females. Female income inequality declines with increased government transfer. When the female income ratio rises, we observe that government transfer outlays fall over the forecast horizon. Variance decomposition finds that growth in government transfers is impacted by the male unemployment rate relatively more than the female unemployment rate. This research, therefore, suggests gender-specific government transfers to reduce income inequality. This, in effect, may reduce government transfer outlays over time. Practical implications This research, therefore, suggests gender-specific government transfers to reduce income inequality. This, in effect, may reduce government transfer outlays over time. Originality/value This research investigates the dynamics among income inequality, government transfer and unemployment rates. There is a dearth of research articles that adopt a macro-econometric in this area.

Authors

Institutions

Publication Details

Journal
Journal of Economics and Development
Published
2024-09-13
DOI
https://doi.org/10.1108/jed-10-2023-0195
Citations
2
Primary Topic
Fiscal Policy and Economic Growth
Type
article
Field-Weighted Citation Impact
2.26
Controls
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article

Income inequality, unemployment, and government transfer: what do their dynamics tell us

Haydory Akbar Ahmed, Hedieh Shadmani
2 citations
Journal of Economics and Development
Fiscal Policy and Economic Growth
2.26
article

Income inequality, unemployment, and government transfer: what do their dynamics tell us

Haydory Akbar Ahmed, Hedieh Shadmani
article en
2 citations

Abstract

Purpose In this research, we explore the dynamics among measures of income inequality in the USA, male and female unemployment rates and growth in government transfer using time series data. Design/methodology/approach This research adopts a macro-econometric approach to estimate a structural VAR model using time series data. Findings Our structural impulse responses found that growth in government transfer increases unemployment rates for both males and females. Female income inequality declines with increased government transfer. When the female income ratio rises, we observe that government transfer outlays fall over the forecast horizon. Variance decomposition finds that growth in government transfers is impacted by the male unemployment rate relatively more than the female unemployment rate. This research, therefore, suggests gender-specific government transfers to reduce income inequality. This, in effect, may reduce government transfer outlays over time. Practical implications This research, therefore, suggests gender-specific government transfers to reduce income inequality. This, in effect, may reduce government transfer outlays over time. Originality/value This research investigates the dynamics among income inequality, government transfer and unemployment rates. There is a dearth of research articles that adopt a macro-econometric in this area.

Journal of Economics and DevelopmentVol. 26(4)
Fairfield University (US), St. Edward's University (US)
No poverty
Openalex Percentile: Top 8%
Fiscal Policy and Economic Growth
2.26
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Income inequality, unemployment, and government transfer: what do their dynamics tell us — Haydory Akbar Ahmed, Hedieh Shadmani · Journal of Economics and Development (2024) | TGRS Research Map | TGRS