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Easing Income Inequality Through Quantitative Easing

Authors: Loui, Anastasia; Moers, Romeo;

Easing Income Inequality Through Quantitative Easing

Abstract

Denne bacheloroppgaven analyserer de potensielle effektene Kvantitativ lettelse (QE) kan ha på inntektsulikhet. En økning i pengemengden (M1) brukes som en representasjon av QE og Gini-koeffisienten brukes som måling for inntektsulikhet. Denne undersøkelsen gjøres gjennom en Multiple Linear Regression (MLR) -modell ved bruk av metoden Ordinary Least Squares. Data for hver variabel som inngår i denne analysen er fra årene 2000-2017, både for Norge og USA. Når vi gjennomfører hypotesetesten for å se om det er noen statistisk signifikant effekt av en økning i pengemasse på Gini-koeffisienten i Norge, avviser vi ikke nullhypotesen. Når vi gjennomfører den samme hypotesetesten for USA, ved hjelp av oppgitte data, er vi i stand til å avvise nullhypotesen. Forskjellen i resultater kan potensielt skyldes store forskjeller i skattesystemer og initielle forskjeller i inntektsulikhet, men denne påstanden krever ytterligere undersøkelse.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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