2017
DOI: 10.1016/j.econmod.2017.05.011
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The distributive effect of monetary policy: The top one percent makes the difference

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Cited by 54 publications
(29 citation statements)
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“…Results based on structural VAR as well as FAVAR show that contractionary monetary policy shocks lead to an increase in the level and volatility of earnings, income and consumption inequality. Their findings also suggests that the policy of quantitative easing may have adverse distributional effects.On the contrary,Davtyan (2017) using US data from 1983 to 2012 and VECM found that a contractionary monetary policy shock decreases Gini index of income inequality up to 0.4 percentage points. Further, O'Farrell and Rawdanowicz…”
mentioning
confidence: 93%
See 1 more Smart Citation
“…Results based on structural VAR as well as FAVAR show that contractionary monetary policy shocks lead to an increase in the level and volatility of earnings, income and consumption inequality. Their findings also suggests that the policy of quantitative easing may have adverse distributional effects.On the contrary,Davtyan (2017) using US data from 1983 to 2012 and VECM found that a contractionary monetary policy shock decreases Gini index of income inequality up to 0.4 percentage points. Further, O'Farrell and Rawdanowicz…”
mentioning
confidence: 93%
“…However, there is little or no study that have examined the role of uncertainty in the relationship between economic policy and inequality. The available related studies are those that investigate the link between monetary policy and inequality (Saiki and Frost, 2014;Villarreal, 2014;Nakajima, 2015;Coibion et al, 2017;Mumtaz and Theophilopoulou, 2017;Davtyan, 2017;O'Farrell and Rawdanowicz, 2017 amongst others) and between fiscal policy and inequality (Wolff andZacharias, 2007, Afonso et al, 2010;Doerrenberg and Peichl, 2014 amongst others) but without conditioning the impact on uncertainty. For instance, Saiki and Frost (2014) provide evidence that unconventional monetary policy raises income inequality in Japan in the short run.…”
Section: Introductionmentioning
confidence: 99%
“…Top income quintile reacts more to monetary policy than bottom quintile, but less than middle income quintile. However, Davtyan (2017) evaluates the distributional effect of monetary policy [48]. The empirical analysis is implemented for the US economy, where the dynamics in income inequality is mainly driven by the variation in the top one percent of the income distribution.…”
Section: Monetary Policy Inequality and Financial Developmentmentioning
confidence: 99%
“…Their measures of inequality are based on the cross-sectional standard deviations and their data, taken from the Consumer Expenditures Survey, do not include the top one percent of the income distribution which has driven inequality dynamics since 1980. Using a di¤erent identi…cation method for permanent in ‡ation shocks and the Gini index which covers the full population, Davtyan (2017) …nds that a disin ‡ation lowers inequality in the US. Some earlier country-speci…c studies document that higher in ‡ation is correlated with a lower income share held by the poorest part of the population (Blejer and Guerrero, 1990; Datt and Ravallion,1998).…”
Section: Introductionmentioning
confidence: 99%