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Panel Quantile-on-Quantile Regression/Evidence
Method evidence record

Panel Quantile-on-Quantile Regression

Panel quantile-on-quantile (QQ) regression jointly maps any quantile of the outcome distribution onto any quantile of the predictor distribution across multiple cross-sectional units observed over time. It generalises Sim and Zhou's (2015) cross-sectional QQ framework to a panel setting, revealing a full dependence surface rather than a single average effect, while accounting for individual heterogeneity through fixed or random effects correction.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Panel Quantile-on-Quantile Regression
Taxonomic method record · regression-model / econometrics
  • Sim, N., & Zhou, H. (2015). Oil prices, US stock return, and the dependence between their quantiles. Journal of Banking and Finance, 55, 1-8. · DOI 10.1016/j.jbankfin.2015.01.013
  • Koenker, R., & Bassett, G. (1978). Regression quantiles. Econometrica, 46(1), 33-50. · DOI 10.2307/1913643
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Curated claims

Claims persisted in the evidence ledger, each with its own assessment.

No curated claims yet

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketPanel Fixed Effects Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPanel GLSmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPanel Granger Causalitymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPanel OLSmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPanel Random Effects Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketQuantile-on-Quantile Regressionmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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