Matteo Iacopini, Aubrey Poon, Luca Rossini, Dan Zhu
arXiv 10 Aug 2023 · Econometrics
arXiv:2308.05486 · PDF · DOI · OpenAlex · Extracted main text
An innovative method is proposed to construct a quantile dependence system for inflation and money growth. By considering all quantiles and leveraging a novel notion of quantile sensitivity, the method allows the assessment of changes in the entire distribution of a variable of interest in response to a perturbation in another variable's quantile. The construction of this relationship is demonstrated through a system of linear quantile regressions. Then, the proposed framework is exploited to examine the distributional effects of money growth on the distributions of inflation and its disaggregate measures in the United States and the Euro area. The empirical analysis uncovers significant impacts of the upper quantile of the money growth distribution on the distribution of inflation and its disaggregate measures. Conversely, the lower and median quantiles of the money growth distribution are found to have a negligible influence. Finally, this distributional impact exhibits variation over time in both the United States and the Euro area.
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The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Golosov, M. and R. E. Lucas (2007) Menu costs and Phillips curves | 0.928 | 4 | 3 | 100% |
| 2 | Schnabel, I (2023) Money and inflation | 0.874 | 5 | 2 | 100% |
| 3 | Blanco, A., C. Boar, C. Jones, and V. Midrigan (2022) Nonlinear inflation dynamics in menu cost economies | 0.843 | 3 | 3 | 100% |
| 4 | Gertler, P. and B. Hofmann (2018) Monetary facts revisited | 0.737 | 3 | 2 | 100% |
| 5 | Grauwe, P. D. and M. Polan (2005) Is inflation always and everywhere a monetary phenomenon? | 0.737 | 3 | 2 | 100% |
| 6 | Tobias, A. and M. K. Brunnermeier (2016) CoVaR | 0.737 | 3 | 2 | 100% |
| 7 | Borio, C., B. Hofmann, and E. Zakrajsek (2023) Does money growth help explain the recent inflation surge? | 0.644 | 2 | 2 | 100% |
| 8 | Koenker, R. and G. Bassett (1978) Regression quantiles | 0.644 | 2 | 2 | 100% |
| 9 | Lee, D. J., T.-H. Kim, and P. Mizen (2021) Impulse response analysis in conditional quantile models with an application to monetary policy | 0.511 | 2 | 1 | 100% |
| 10 | Han, H., W. Jung, and J. H. Lee (2022) Estimation and inference of quantile impulse response functions by local projections: With applications to var dynamics | 0.405 | 1 | 1 | 100% |
Showing the top 10 of 17 scored citations.
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| Citing paper | Intensity | Mentions | Sections | |
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| 1 | Joint Quantile Shrinkage: A State-Space Approach toward Non-Crossing Bayesian Quantile Models | 0.405 | 1 | 1 |