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Krahasoni metodat

Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.

Regresioni kuantil-mbi-kuantil panel (Panel Quantile-on-Quantile Regression)×Model meefteve meefteve rastësore (RE)×
FushaEkonometriEkonometri
FamiljaRegression modelRegression model
Viti i origjinës2015 (QQ); panel applications from ~20181966
KrijuesiSim and Zhou (cross-section QQ); panel extension in applied energy/finance econometricsBalestra & Nerlove
LlojiNonparametric quantile regressionPanel data estimator
Burimi themeluesSim, N., & Zhou, H. (2015). Oil prices, US stock return, and the dependence between their quantiles. Journal of Banking and Finance, 55, 1-8. DOI ↗Balestra, P., & Nerlove, M. (1966). Pooling cross section and time series data in the estimation of a dynamic model: The demand for natural gas. Econometrica, 34(3), 585–612. DOI ↗
Emërtime të tjeraPanel QQ regression, panel QQ approach, panel quantile-on-quantile approach, PQQ regressionrandom effects estimator, RE model, GLS random effects, error components model
Të lidhura65
PërmbledhjaPanel 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.The panel random effects (RE) model treats individual-specific effects as random draws from a population distribution rather than fixed constants, enabling efficient estimation by generalised least squares and allowing inference about time-invariant regressors that are swept away in fixed effects estimation.
ScholarGateSeti i të dhënave
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  1. v1
  2. 2 Burimet
  3. PUBLISHED

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ScholarGateKrahasoni metodat: Panel Quantile-on-Quantile Regression · Panel Random Effects Model. Marrë më 2026-06-17 nga https://scholargate.app/sq/compare