IDEAS home Printed from https://ideas.repec.org/p/ces/ceswps/_7211.html
   My bibliography  Save this paper

Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Quantile Regression Models

Author

Listed:
  • Matthew Harding
  • Carlos Lamarche
  • M. Hashem Pesaran

Abstract

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.

Suggested Citation

  • Matthew Harding & Carlos Lamarche & M. Hashem Pesaran, 2018. "Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Quantile Regression Models," CESifo Working Paper Series 7211, CESifo.
    • Handle: RePEc:ces:ceswps:_7211
    as

    Download full text from publisher

    File URL: https://www.cesifo.org/DocDL/cesifo1_wp7211.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Galvao Jr., Antonio F., 2011. "Quantile regression for dynamic panel data with fixed effects," Journal of Econometrics, Elsevier, vol. 164(1), pages 142-157, September.
    2. Chudik, Alexander & Pesaran, M. Hashem, 2015. "Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors," Journal of Econometrics, Elsevier, vol. 188(2), pages 393-420.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Paulo M.M. Rodrigues & Matei Demetrescu, 2022. "Cross-Sectional Error Dependence in Panel Quantile Regressions," Working Papers w202213, Banco de Portugal, Economics and Research Department.
    2. Demetrescu, Matei & Hosseinkouchack, Mehdi & Rodrigues, Paulo M. M., 2023. "Tests of no cross-sectional error dependence in panel quantile regressions," Ruhr Economic Papers 1041, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    3. Novelli, Giacomo, 2022. "Energy Dependency and Long-Run Growth," FEEM Working Papers 329650, Fondazione Eni Enrico Mattei (FEEM).
    4. Bataka, Hodabalo, 2021. "Globalization and Environmental Pollution in Sub-Saharan Africa," African Journal of Economic Review, African Journal of Economic Review, vol. 9(1), January.
    5. Artūras Juodis, 2022. "A regularization approach to common correlated effects estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 788-810, June.
    6. Gomez-Gonzalez, Jose E. & Uribe, Jorge M. & Valencia, Oscar, 2024. "Asymmetric Sovereign Risk: Implications for Climate Change Preparation," IDB Publications (Working Papers) 13447, Inter-American Development Bank.
    7. Ignace De Vos & Gerdie Everaert & Vasilis Sarafidis, 2021. "A method for evaluating the rank condition for CCE estimators," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 21/1013, Ghent University, Faculty of Economics and Business Administration.
    8. Gkillas, Konstantinos & Konstantatos, Christoforos & Papathanasiou, Spyros & Wohar, Mark, 2023. "Estimation of value at risk for copper," Journal of Commodity Markets, Elsevier, vol. 32(C).
    9. Giacomo Novelli, 2022. "Energy Dependency and Long-Run Growth," Working Papers 2022.42, Fondazione Eni Enrico Mattei.
    10. David Powell, 2022. "Quantile regression with nonadditive fixed effects," Empirical Economics, Springer, vol. 63(5), pages 2675-2691, November.
    11. Jia Chen Author-Name-First: Jia & Yongcheol Shin & Chaowen Zheng, 2023. "Dynamic Quantile Panel Data Models with Interactive Effects," Economics Discussion Papers em-dp2023-06, Department of Economics, University of Reading.
    12. Abdullah Emre Caglar & Bulent Guloglu & Ayfer Gedikli, 2022. "Moving towards sustainable environmental development for BRICS: Investigating the asymmetric effect of natural resources on CO2," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(5), pages 1313-1325, October.
    13. Razzaq, Asif & Ajaz, Tahseen & Li, Jing Claire & Irfan, Muhammad & Suksatan, Wanich, 2021. "Investigating the asymmetric linkages between infrastructure development, green innovation, and consumption-based material footprint: Novel empirical estimations from highly resource-consuming economi," Resources Policy, Elsevier, vol. 74(C).
    14. Lee, Yoonseok & Sul, Donggyu, 2023. "Depth-weighted means of noisy data: An application to estimating the average effect in heterogeneous panels," Journal of Multivariate Analysis, Elsevier, vol. 196(C).
    15. Christis Katsouris, 2023. "Optimal Estimation Methodologies for Panel Data Regression Models," Papers 2311.03471, arXiv.org, revised Nov 2023.
    16. Ando, Tomohiro & Li, Kunpeng & Lu, Lina, 2023. "A spatial panel quantile model with unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 232(1), pages 191-213.
    17. Cepoi, Cosmin-Octavian, 2020. "Asymmetric dependence between stock market returns and news during COVID-19 financial turmoil," Finance Research Letters, Elsevier, vol. 36(C).
    18. Yang, Jisheng & Wei, Jinbao & Cai, Biqing, 2022. "Quantile unit root inference for panel data with common shocks," Economics Letters, Elsevier, vol. 219(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jia Chen Author-Name-First: Jia & Yongcheol Shin & Chaowen Zheng, 2023. "Dynamic Quantile Panel Data Models with Interactive Effects," Economics Discussion Papers em-dp2023-06, Department of Economics, University of Reading.
    2. Ulrike Illmann & Jan Kluge, 2021. "Halb voll oder halb leer? Zur Bedeutung flächendeckender öffentlicher Ladeinfrastruktur für die Entwicklung der Elektromobilität," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 28(05), pages 10-17, October.
    3. Gangopadhyay, Partha & Jain, Siddharth & Bakry, Walid, 2022. "In search of a rational foundation for the massive IT boom in the Australian banking industry: Can the IT boom really drive relationship banking?," International Review of Financial Analysis, Elsevier, vol. 82(C).
    4. Inanoglu, Hulusi & Jacobs, Michael, Jr. & Liu, Junrong & Sickles, Robin, 2015. "Analyzing Bank Efficiency: Are "Too-Big-to-Fail" Banks Efficient?," Working Papers 15-016, Rice University, Department of Economics.
    5. Victor Pontines & Reza Y. Siregar, 2017. "Non-core liabilities and monetary policy transmission in Indonesia during the post-2007 global financial crisis," CAMA Working Papers 2017-78, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    6. Łukasz Jarosław Kozar & Robert Matusiak & Marta Paduszyńska & Adam Sulich, 2022. "Green Jobs in the EU Renewable Energy Sector: Quantile Regression Approach," Energies, MDPI, vol. 15(18), pages 1-21, September.
    7. Sun, Yunpeng & Tian, Wenjuan & Mehmood, Usman & Zhang, Xiaoyu & Tariq, Salman, 2023. "How do natural resources, urbanization, and institutional quality meet with ecological footprints in the presence of income inequality and human capital in the next eleven countries?," Resources Policy, Elsevier, vol. 85(PA).
    8. Dierk Herzer, 2024. "A panel data analysis of the long-run effect of environmental taxes on R&D expenditures at the macro-level," Economics Bulletin, AccessEcon, vol. 44(3), pages 1169-1180.
    9. Bin Amin, Sakib & Taghizadeh-Hesary, Farhad & Khan, Farhan & Manal Rahman, Faria, 2024. "Does technology have a lead or lag role in economic growth? The case of selected resource-rich and resource-scarce countries," Resources Policy, Elsevier, vol. 89(C).
    10. Klomp, Jeroen, 2013. "Government interventions and default risk: Does one size fit all?," Journal of Financial Stability, Elsevier, vol. 9(4), pages 641-653.
    11. Li, Xinqiang & Wang, Cheng, 2024. "Clean Energy's influence on the mineral resource market in the ASEAN region," Resources Policy, Elsevier, vol. 91(C).
    12. Michele Aquaro & Pavel Čížek, 2014. "Robust estimation of dynamic fixed-effects panel data models," Statistical Papers, Springer, vol. 55(1), pages 169-186, February.
    13. Fatma Erdem & Erdal Özmen, 2015. "Exchange Rate Regimes and Business Cycles: An Empirical Investigation," Open Economies Review, Springer, vol. 26(5), pages 1041-1058, November.
    14. Thomaidis, Nikolaos S. & Biskas, Pandelis N., 2021. "Fundamental pricing laws and long memory effects in the day-ahead power market," Energy Economics, Elsevier, vol. 100(C).
    15. Guido M. Kuersteiner & Ingmar R. Prucha, 2020. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," Econometrica, Econometric Society, vol. 88(5), pages 2109-2146, September.
    16. Degirmenci, Tunahan & Yavuz, Hakan, 2024. "Environmental taxes, R&D expenditures and renewable energy consumption in EU countries: Are fiscal instruments effective in the expansion of clean energy?," Energy, Elsevier, vol. 299(C).
    17. Stephen Taiwo Onifade & Bright Akwasi Gyamfi & Ilham Haouas & Simplice A. Asongu, 2024. "Extending the frontiers of financial development for sustainability of the MENA states: The roles of resource abundance and institutional quality," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(3), pages 1971-1986, June.
    18. Ryan H. Murphy & Colin O’Reilly, 2023. "Freedom through taxation: the effect of fiscal capacity on the rule of law," European Journal of Law and Economics, Springer, vol. 56(1), pages 69-90, August.
    19. Jamus Jerome Lim, 2021. "The limits of central bank independence for inflation performance," Public Choice, Springer, vol. 186(3), pages 309-335, March.
    20. Chen, Liang & Guo, Yirong, 2023. "The drivers of sustainable development: Natural resources extraction and education for low-middle- and high-income countries," Resources Policy, Elsevier, vol. 86(PB).

    More about this item

    Keywords

    common correlated effects; dynamic panel; quantile regression; smart meter; randomized experiment;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ces:ceswps:_7211. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/cesifde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.