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The regional transmission of uncertainty shocks on income inequality in the United StatesFischer, Manfred M., Huber, Florian, Pfarrhofer, Michael January 2019 (has links) (PDF)
This paper explores the relationship between household income inequality and macroeconomic
uncertainty in the United States. Using a novel large-scale macroeconometric
model, we shed light on regional disparities of inequality responses to a national uncertainty
shock. The results suggest that income inequality decreases in most states, with a
pronounced degree of heterogeneity in terms of the dynamic responses. By contrast,
some few states, mostly located in the Midwest, display increasing levels of income
inequality over time. Forecast error variance and historical decompositions highlight
the importance of uncertainty shocks in explaining income inequality in most regions
considered. Finally, we explain differences in the responses of income inequality by means
of a simple regression analysis. These regressions reveal that the income composition as
well as labor market fundamentals determine the directional pattern of the dynamic responses. / Series: Working Papers in Regional Science
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The transmission of uncertainty shocks on income inequality: State-level evidence from the United StatesFischer, Manfred M., Huber, Florian, Pfarrhofer, Michael January 2018 (has links) (PDF)
In this paper, we explore the relationship between state-level household income inequality and macroeconomic
uncertainty in the United States. Using a novel large-scale macroeconometric model, we shed
light on regional disparities of inequality responses to a national uncertainty shock. The results suggest
that income inequality decreases in most states, with a pronounced degree of heterogeneity in terms of
shapes and magnitudes of the dynamic responses. By contrast, some few states, mostly located in the
West and South census region, display increasing levels of income inequality over time. We find that
this directional pattern in responses is mainly driven by the income composition and labor market fundamentals.
In addition, forecast error variance decompositions allow for a quantitative assessment of
the importance of uncertainty shocks in explaining income inequality. The findings highlight that volatility
shocks account for a considerable fraction of forecast error variance for most states considered.
Finally, a regression-based analysis sheds light on the driving forces behind differences in state-specific
inequality responses. / Series: Working Papers in Regional Science
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