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Economic applications of quantile regression 2.0

Author

Listed:
  • Bernd Fitzenberger

    (Institute for Employment Research (IAB) and Friedrich-Alexander-Universität Erlangen Nürnberg (FAU), Nürnberg)

  • Roger Koenker

    (University College London)

  • José Machado

    (Universidade NOVA de Lisboa)

  • Blaise Melly

    (University of Bern)

Abstract

No abstract is available for this item.

Suggested Citation

  • Bernd Fitzenberger & Roger Koenker & José Machado & Blaise Melly, 2022. "Economic applications of quantile regression 2.0," Empirical Economics, Springer, vol. 62(1), pages 1-6, January.
    • Handle: RePEc:spr:empeco:v:62:y:2022:i:1:d:10.1007_s00181-021-02186-1
    DOI: 10.1007/s00181-021-02186-1
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    References listed on IDEAS

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    1. Stephanie Briel & Aderonke Osikominu & Gregor Pfeifer & Mirjam Reutter & Sascha Satlukal, 2022. "Gender differences in wage expectations: the role of biased beliefs," Empirical Economics, Springer, vol. 62(1), pages 187-212, January.
    2. Denis Chetverikov & Bradley Larsen & Christopher Palmer, 2016. "IV Quantile Regression for Group‐Level Treatments, With an Application to the Distributional Effects of Trade," Econometrica, Econometric Society, vol. 84, pages 809-833, March.
    3. Michael Haylock, 2022. "Distributional differences in the time horizon of executive compensation," Empirical Economics, Springer, vol. 62(1), pages 157-186, January.
    4. Guillaume Carlier & Victor Chernozhukov & Gwendoline Bie & Alfred Galichon, 2022. "Correction to: Vector quantile regression and optimal transport, from theory to numerics," Empirical Economics, Springer, vol. 62(1), pages 63-63, January.
    5. Martina Pons, 2022. "The impact of air pollution on birthweight: evidence from grouped quantile regression," Empirical Economics, Springer, vol. 62(1), pages 279-296, January.
    6. Machado, José A.F. & Santos Silva, J.M.C., 2019. "Quantiles via moments," Journal of Econometrics, Elsevier, vol. 213(1), pages 145-173.
    7. Martin Huber & Blaise Melly, 2015. "A Test of the Conditional Independence Assumption in Sample Selection Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(7), pages 1144-1168, November.
    8. Susan Athey & Guido W. Imbens, 2006. "Identification and Inference in Nonlinear Difference-in-Differences Models," Econometrica, Econometric Society, vol. 74(2), pages 431-497, March.
    9. Guillaume Carlier & Victor Chernozhukov & Gwendoline De Bie & Alfred Galichon, 2022. "Vector quantile regression and optimal transport, from theory to numerics," Empirical Economics, Springer, vol. 62(1), pages 35-62, January.
    10. Georg Keilbar & Weining Wang, 2022. "Modelling systemic risk using neural network quantile regression," Empirical Economics, Springer, vol. 62(1), pages 93-118, January.
    11. Sandra Kendo & Josephine Tchakounte, 2022. "Impact of asset size on performance and outreach using panel quantile regression with non-additive fixed effects," Empirical Economics, Springer, vol. 62(1), pages 65-92, January.
    12. Peng, Limin & Fine, Jason P., 2009. "Competing Risks Quantile Regression," Journal of the American Statistical Association, American Statistical Association, vol. 104(488), pages 1440-1453.
    13. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    14. Afrouz Azadikhah Jahromi & Brantly Callaway, 2022. "Heterogeneous Effects of Job Displacement on Earnings," Empirical Economics, Springer, vol. 62(1), pages 213-245, January.
    15. Bernd Fitzenberger & Jakob Lazzer, 2022. "Changing selection into full-time work and its effect on wage inequality in Germany," Empirical Economics, Springer, vol. 62(1), pages 247-277, January.
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