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Heterogeneity-robust granular instruments

Eric Qian

arXiv 3 Apr 2023 · Econometrics

arXiv:2304.01273 · PDF · DOI · OpenAlex · Extracted main text

Abstract

Granular instrumental variables (GIV) has experienced sharp growth in empirical macro-finance. The methodology's rise showcases granularity's potential for identification across many economic environments, like the estimation of spillovers and demand systems. I propose a new estimator--called robust granular instrumental variables (RGIV)--that enables studying unit-level heterogeneity in spillovers. Unlike existing methods that assume heterogeneity is a function of observables, RGIV leaves heterogeneity unrestricted. In contrast to the baseline GIV estimator, RGIV allows for unknown shock variances and equal-sized units. Applied to the Euro area, I find strong evidence of country-level heterogeneity in sovereign yield spillovers.

Citation extraction

29
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92
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distinct cited
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10,981
main-text words

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Most heavily cited references

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.

ReferenceIntensityMentionsSectionsMain text
1Gabaix, X. and R. S. J. Koijen (2020) Granular Instrumental Variables, Tech1.000347100%
2Gabaix, X. and R. S. J. Koijen (2021) In Search of the Origins of Financial Fluctuations: The Inelastic Markets Hypothesis, Tech0.73732100%
3Adrian, T., F. Grinberg, N. Liang, S. Malik, and J. Yu (2022) The Term Structure of Growth-at-Risk0.64422100%
4Banafti, S. and T.-H. Lee (2022) Inferential Theory for Granular Instrumental Variables in High Dimensions, Working paper, arXiv0.64422100%
5Baumeister, C. and J. D. Hamilton (2023) A Full-Information Approach to Granular Instrumental Variables0.64422100%
6Bayoumi, T. and B. Eichengreen (1992) Shocking Aspects of European Monetary Unification, Tech0.64422100%
7Camanho, N., H. Hau, and H. Rey (2022) Global Portfolio Rebalancing and Exchange Rates0.64422100%
8Newey, W. K. and D. McFadden (1994) Chapter 36 Large Sample Estimation and Hypothesis Testing, in0.58515520%
9Pakes, A. and D. Pollard (1989) Simulation and the Asymptotics of Optimization Estimators0.46410310%
10Allen, F., A. Babus, and E. Carletti (2009) Financial Crises: Theory and Evidence0.40511100%

Showing the top 10 of 29 scored citations.

Cited by, within the corpus

arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.

Citing paperIntensityMentionsSections
1Structural Analysis of Vector Autoregressive Models0.40511
2Granular Instrumental Variables: Estimation and Inference0.40511
3Granular Instrumental Variables in Large Panels: Identification and Inference Across Strong, Nearly Weak, and Weak GIV0.40511