Abstract
Using Philippon's (2015) recently published historical household debt data, this paper uses Diebold and Yilmaz's (2012) generalized variance decompositions and generalized impulse responses to understand the relationship between interest rates, the stock market, household debt, and the distribution of income in the U.S. The results indicate that increases in the stock market and household debt increase income inequality. Moreover, the relationship between the interest rate and income inequality is found to be negative and statistically significant. We interpret our results as suggesting that high income earners derive a larger portion of their income from interest rate sensitive assets.
| Original language | English |
|---|---|
| Pages (from-to) | 1-14 |
| Number of pages | 14 |
| Journal | Journal of International Money and Finance |
| Volume | 80 |
| DOIs | |
| State | Published - Feb 2018 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 10 Reduced Inequalities
Keywords
- Household debt
- Income inequality
- Interest rates
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