Arbeitspapier
Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Quantile Regression Models
This paper proposes a quantile regression estimator for a heterogeneous panel model with lagged dependent variables and interactive effects. The paper adopts the Common Correlated Effects (CCE) approach proposed by Pesaran (2006) and Chudik and Pesaran (2015) and demonstrates that the extension to the estimation of dynamic quantile regression models is feasible under similar conditions to the ones used in the literature. We establish consistency and derive the asymptotic distribution of the new quantile regression estimator. Monte Carlo studies are carried out to study the small sample behavior of the proposed approach. The evidence shows that the estimator can significantly improve on the performance of existing estimators as long as the time series dimension of the panel is large. We present an application to the evaluation of Time-of-Use pricing using a large randomized control trial.
- Language
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Englisch
- Bibliographic citation
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Series: CESifo Working Paper ; No. 7211
- Classification
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Wirtschaft
Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
Multiple or Simultaneous Equation Models: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
Multiple or Simultaneous Equation Models: Panel Data Models; Spatio-temporal Models
Consumer Economics: Empirical Analysis
Electric Utilities
- Subject
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common correlated effects
dynamic panel
quantile regression
smart meter
randomized experiment
- Event
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Geistige Schöpfung
- (who)
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Harding, Matthew
Lamarche, Carlos
Pesaran, M. Hashem
- Event
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Veröffentlichung
- (who)
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Center for Economic Studies and ifo Institute (CESifo)
- (where)
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Munich
- (when)
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2018
- Handle
- Last update
-
10.03.2025, 11:44 AM CET
Data provider
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Object type
- Arbeitspapier
Associated
- Harding, Matthew
- Lamarche, Carlos
- Pesaran, M. Hashem
- Center for Economic Studies and ifo Institute (CESifo)
Time of origin
- 2018