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Jad Beyhum

Personal Details

First Name:Jad
Middle Name:
Last Name:Beyhum
Suffix:
RePEc Short-ID:pbe1455
[This author has chosen not to make the email address public]

Affiliation

Department of Economics
Faculteit Economie en Bedrijfswetenschappen
KU Leuven

Leuven, Belgium
https://feb.kuleuven.be/economics
RePEc:edi:cekulbe (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Wei Miao & Jad Beyhum & Jonas Striaukas & Ingrid Van Keilegom, 2025. "High-dimensional censored MIDAS logistic regression for corporate survival forecasting," Papers 2502.09740, arXiv.org.
  2. Gilles Crommen & Jad Beyhum & Ingrid Van Keilegom, 2025. "Estimation of the complier causal hazard ratio under dependent censoring," Papers 2504.02096, arXiv.org.
  3. Jad Beyhum & Martin Mugnier, 2024. "Inference after discretizing unobserved heterogeneity," Working Papers halshs-04840588, HAL.
  4. Christophe Bruneel-Zupanc & Jad Beyhum, 2024. "Identification with possibly invalid IVs," Papers 2401.03990, arXiv.org, revised Oct 2024.
  5. Jad Beyhum & Martin Mugnier, 2024. "Inference after discretizing time-varying unobserved heterogeneity," Papers 2412.07352, arXiv.org, revised Oct 2025.
  6. Jad Beyhum & Martin Mugnier, 2024. "Inference after discretizing unobserved heterogeneity," CeMMAP working papers 29/24, Institute for Fiscal Studies.
  7. Jad Beyhum, 2024. "Factor-augmented sparse MIDAS regressions with an application to nowcasting," Working Papers of Department of Economics, Leuven 757474, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
  8. Jad Beyhum & Martin Mugnier, 2024. "Inference after discretizing unobserved heterogeneity," PSE Working Papers halshs-04840588, HAL.
  9. Jad Beyhum, 2024. "Counterfactuals in factor models," Papers 2401.03293, arXiv.org.
  10. Jad Beyhum & Éric Gautier, 2023. "Factor and Factor Loading Augmented Estimators for Panel Regression With Possibly Nonstrong Factors," Post-Print hal-04473333, HAL.
  11. Jad Beyhum & Elia Lapenta & Pascal Lavergne, 2023. "One-step smoothing splines instrumental regression," Papers 2307.14867, arXiv.org, revised Dec 2024.
  12. Jad Beyhum & Jonas Striaukas, 2023. "Factor-augmented sparse MIDAS regressions with an application to nowcasting," Papers 2306.13362, arXiv.org, revised Oct 2025.
  13. Jad Beyhum & Elia Lapenta & Pascal Lavergne, 2023. "One-step nonparametric instrumental regression using smoothing splines," Working Papers hal-04971401, HAL.
  14. Lorenzo Tedesco & Jad Beyhum & Ingrid Van Keilegom, 2023. "Instrumental variable estimation of the proportional hazards model by presmoothing," Papers 2309.02183, arXiv.org.
  15. Jad Beyhum & Jonas Striaukas, 2023. "Testing for sparse idiosyncratic components in factor-augmented regression models," Papers 2307.13364, arXiv.org, revised Jul 2024.
  16. Jad Beyhum & Lorenzo Tedesco & Ingrid Van Keilegom, 2022. "Instrumental variable quantile regression under random right censoring," Papers 2209.01429, arXiv.org, revised Feb 2023.
  17. Jad Beyhum & Samuele Centorrino & Jean-Pierre Florens & Ingrid Van Keilegom, 2022. "Instrumental variable estimation of dynamic treatment effects on a duration outcome," Papers 2201.10826, arXiv.org, revised Dec 2022.
  18. Jad Beyhum & Jean-Pierre Florens & Ingrid van Keilegom, 2022. "Nonparametric Instrumental Regression With Right Censored Duration Outcomes," Post-Print hal-04042903, HAL.
  19. Jad Beyhum & Jean-Pierre Florens & Elia Lapenta & Ingrid Van Keilegom, 2022. "Testing for homogeneous treatment effects in linear and nonparametric instrumental variable models," Papers 2208.05344, arXiv.org, revised Apr 2023.
  20. Jad Beyhum, 2021. "Two-stage least squares with a randomly right censored outcome," Papers 2110.05107, arXiv.org.
  21. Jad Beyhum & Jean-Pierre Florens & Ingrid Van Keilegom, 2021. "A nonparametric instrumental approach to endogeneity in competing risks models," Papers 2105.00946, arXiv.org.
  22. Jad Beyhum & Jean-Pierre FLorens & Ingrid Van Keilegom, 2020. "Nonparametric instrumental regression with right censored duration outcomes," Papers 2011.10423, arXiv.org.
  23. Jad Beyhum & Eric Gautier, 2020. "Factor and factor loading augmented estimators for panel regression," Working Papers hal-02957008, HAL.
  24. Beyhum, Jad & Florens, Jean-Pierre & Van Keilegom, Ingrid, 2020. "Nonparametric Instrumental Regression with Right Censored Duration Outcomes," TSE Working Papers 20-1164, Toulouse School of Economics (TSE).
  25. Jad Beyhum, 2020. "Inference robust to outliers with L1‐norm penalization," Post-Print hal-03235868, HAL.
  26. Beyhum, Jad, 2019. "Inference robust to outliers with L1‐norm penalization," TSE Working Papers 19-1032, Toulouse School of Economics (TSE).
  27. Beyhum, Jad & Gautier, Eric, 2019. "Square-root nuclear norm penalized estimator for panel data models with approximately low-rank unobserved Heterogeneity," TSE Working Papers 19-1008, Toulouse School of Economics (TSE).

Articles

  1. Jad Beyhum & Elia Lapenta & Pascal Lavergne, 2025. "One-step smoothing splines instrumental regression," The Econometrics Journal, Royal Economic Society, vol. 28(2), pages 176-197.
  2. Jad Beyhum & Jean-Pierre Florens & Elia Lapenta & Ingrid Van Keilegom, 2024. "Testing for homogeneous treatment effects in linear and nonparametric instrumental variable models," Econometric Reviews, Taylor & Francis Journals, vol. 43(7), pages 540-557, August.
  3. Beyhum, Jad & Striaukas, Jonas, 2024. "Testing for sparse idiosyncratic components in factor-augmented regression models," Journal of Econometrics, Elsevier, vol. 244(1).
  4. Jad Beyhum & Samuele Centorrino & Jean-Pierre Florens & Ingrid Van Keilegom, 2024. "Instrumental Variable Estimation of Dynamic Treatment Effects on a Duration Outcome," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(2), pages 732-742, April.
  5. Jad Beyhum & Lorenzo Tedesco & Ingrid Van Keilegom, 2024. "Instrumental variable quantile regression under random right censoring," The Econometrics Journal, Royal Economic Society, vol. 27(1), pages 21-36.
  6. Gilles Crommen & Jad Beyhum & Ingrid Van Keilegom, 2024. "An instrumental variable approach under dependent censoring," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 33(2), pages 473-495, June.
  7. Beyhum, Jad & Portier, François, 2024. "High-dimensional nonconvex LASSO-type M-estimators," Journal of Multivariate Analysis, Elsevier, vol. 202(C).
  8. Jad Beyhum & Jean-Pierre Florens & Ingrid Keilegom, 2023. "A nonparametric instrumental approach to confounding in competing risks models," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 29(4), pages 709-734, October.
  9. Jad Beyhum & Jean‐Pierre Florens & Ingrid Van Keilegom, 2023. "Discussion on “Instrumented difference‐in‐differences” by Ting Ye, Ashkan Ertefaie, James Flory, Sean Hennessy, and Dylan S. Small," Biometrics, The International Biometric Society, vol. 79(2), pages 582-586, June.
  10. Jad Beyhum, 2023. "High-dimensional inference robust to outliers with ℓ1-norm penalization," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 52(16), pages 5866-5876, August.
  11. Jad Beyhum & Ingrid Keilegom, 2023. "Robust censored regression with $$\ell _1$$ ℓ 1 -norm regularization," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 32(1), pages 146-162, March.
  12. Jad Beyhum & Eric Gautier, 2022. "Factor and Factor Loading Augmented Estimators for Panel Regression With Possibly Nonstrong Factors," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(1), pages 270-281, December.
  13. Jad Beyhum & Jean-Pierre Florens & Ingrid Van Keilegom, 2022. "Nonparametric Instrumental Regression With Right Censored Duration Outcomes," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(3), pages 1034-1045, June.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Jad Beyhum & Éric Gautier, 2023. "Factor and Factor Loading Augmented Estimators for Panel Regression With Possibly Nonstrong Factors," Post-Print hal-04473333, HAL.

    Cited by:

    1. Jad Beyhum & Martin Mugnier, 2024. "Inference after discretizing unobserved heterogeneity," CeMMAP working papers 29/24, Institute for Fiscal Studies.
    2. Beyhum, Jad & Striaukas, Jonas, 2024. "Testing for sparse idiosyncratic components in factor-augmented regression models," Journal of Econometrics, Elsevier, vol. 244(1).
    3. Jad Beyhum & Martin Mugnier, 2024. "Inference after discretizing time-varying unobserved heterogeneity," Papers 2412.07352, arXiv.org, revised Oct 2025.
    4. Jad Beyhum & Martin Mugnier, 2024. "Inference after discretizing unobserved heterogeneity," PSE Working Papers halshs-04840588, HAL.

  2. Jad Beyhum & Jonas Striaukas, 2023. "Factor-augmented sparse MIDAS regressions with an application to nowcasting," Papers 2306.13362, arXiv.org, revised Oct 2025.

    Cited by:

    1. Andrii Babii & Eric Ghysels & Jonas Striaukas, 2024. "Econometrics of machine learning methods in economic forecasting," Chapters, in: Michael P. Clements & Ana Beatriz Galvão (ed.), Handbook of Research Methods and Applications in Macroeconomic Forecasting, chapter 10, pages 246-273, Edward Elgar Publishing.
    2. Wei Miao & Jad Beyhum & Jonas Striaukas & Ingrid Van Keilegom, 2025. "High-dimensional censored MIDAS logistic regression for corporate survival forecasting," Papers 2502.09740, arXiv.org.

  3. Jad Beyhum & Elia Lapenta & Pascal Lavergne, 2023. "One-step nonparametric instrumental regression using smoothing splines," Working Papers hal-04971401, HAL.

    Cited by:

    1. Jean-Pierre Florens & Elia Lapenta, 2024. "Partly linear instrumental variables regressions without smoothing on the instruments," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 33(3), pages 897-920, September.

  4. Lorenzo Tedesco & Jad Beyhum & Ingrid Van Keilegom, 2023. "Instrumental variable estimation of the proportional hazards model by presmoothing," Papers 2309.02183, arXiv.org.

    Cited by:

    1. Eni Musta & Valentin Patilea & Ingrid Van Keilegom, 2024. "A two‐step estimation procedure for semiparametric mixture cure models," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 51(3), pages 987-1011, September.

  5. Jad Beyhum & Lorenzo Tedesco & Ingrid Van Keilegom, 2022. "Instrumental variable quantile regression under random right censoring," Papers 2209.01429, arXiv.org, revised Feb 2023.

    Cited by:

    1. Gilles Crommen & Jad Beyhum & Ingrid Van Keilegom, 2024. "An instrumental variable approach under dependent censoring," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 33(2), pages 473-495, June.
    2. Lorenzo Tedesco & Jad Beyhum & Ingrid Van Keilegom, 2023. "Instrumental variable estimation of the proportional hazards model by presmoothing," Papers 2309.02183, arXiv.org.

  6. Jad Beyhum & Samuele Centorrino & Jean-Pierre Florens & Ingrid Van Keilegom, 2022. "Instrumental variable estimation of dynamic treatment effects on a duration outcome," Papers 2201.10826, arXiv.org, revised Dec 2022.

    Cited by:

    1. Wei Miao & Jad Beyhum & Jonas Striaukas & Ingrid Van Keilegom, 2025. "High-dimensional censored MIDAS logistic regression for corporate survival forecasting," Papers 2502.09740, arXiv.org.
    2. Gilles Crommen & Jad Beyhum & Ingrid Van Keilegom, 2025. "Estimation of the complier causal hazard ratio under dependent censoring," Papers 2504.02096, arXiv.org.
    3. Ravi B. Sojitra & Vasilis Syrgkanis, 2024. "Dynamic Local Average Treatment Effects," Papers 2405.01463, arXiv.org, revised May 2025.

  7. Jad Beyhum & Jean-Pierre Florens & Ingrid van Keilegom, 2022. "Nonparametric Instrumental Regression With Right Censored Duration Outcomes," Post-Print hal-04042903, HAL.

    Cited by:

    1. Gilles Crommen & Jad Beyhum & Ingrid Van Keilegom, 2024. "An instrumental variable approach under dependent censoring," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 33(2), pages 473-495, June.
    2. Gilles Crommen & Jad Beyhum & Ingrid Van Keilegom, 2025. "Estimation of the complier causal hazard ratio under dependent censoring," Papers 2504.02096, arXiv.org.
    3. Lorenzo Tedesco & Jad Beyhum & Ingrid Van Keilegom, 2023. "Instrumental variable estimation of the proportional hazards model by presmoothing," Papers 2309.02183, arXiv.org.

  8. Beyhum, Jad & Gautier, Eric, 2019. "Square-root nuclear norm penalized estimator for panel data models with approximately low-rank unobserved Heterogeneity," TSE Working Papers 19-1008, Toulouse School of Economics (TSE).

    Cited by:

    1. Ivan Fernandez-Val & Hugo Freeman & Martin Weidner, 2020. "Low-rank approximations of nonseparable panel models," CeMMAP working papers CWP52/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Freeman, Hugo & Weidner, Martin, 2023. "Linear panel regressions with two-way unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 237(1).
    3. Laurent Gobillon & Thierry Magnac & Sébastien Roux, 2025. "Lifecycle Wages and Human Capital Investments: Selection and Missing Data," Working Papers halshs-05030443, HAL.
    4. Vogt, M. & Walsh, C. & Linton, O., 2022. "CCE Estimation of High-Dimensional Panel Data Models with Interactive Fixed Effects," Janeway Institute Working Papers 2218, Faculty of Economics, University of Cambridge.
    5. Juan M. Rodriguez-Poo & Alexandra Soberon & Stefan Sperlich, 2025. "Inference on panel data models with a generalized factor structure," Papers 2506.10690, arXiv.org.
    6. Linton, O. B. & Rücker, M. & Vogt, M. & Walsh, C., 2024. "Estimation and Inference in High-Dimensional Panel Data Models with Interactive Fixed Effects," Janeway Institute Working Papers 2429, Faculty of Economics, University of Cambridge.
    7. Maximilian Ruecker & Michael Vogt & Oliver Linton & Christopher Walsh, 2022. "Estimation and Inference in High-Dimensional Panel Data Models with Interactive Fixed Effects," Papers 2206.12152, arXiv.org, revised Aug 2025.
    8. Iv'an Fern'andez-Val & Hugo Freeman & Martin Weidner, 2020. "Low-Rank Approximations of Nonseparable Panel Models," Papers 2010.12439, arXiv.org, revised Mar 2021.
    9. Jad Beyhum, 2024. "Counterfactuals in factor models," Papers 2401.03293, arXiv.org.
    10. Timothy B. Armstrong & Martin Weidner & Andrei Zeleneev, 2024. "Robust estimation and inference in panels with interactive fixed effects," CeMMAP working papers 28/24, Institute for Fiscal Studies.
    11. Beyhum, Jad & Gautier, Eric, 2021. "Factor and factor loading augmented estimators for panel regression," TSE Working Papers 21-1219, Toulouse School of Economics (TSE).

Articles

  1. Jad Beyhum & Samuele Centorrino & Jean-Pierre Florens & Ingrid Van Keilegom, 2024. "Instrumental Variable Estimation of Dynamic Treatment Effects on a Duration Outcome," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(2), pages 732-742, April.
    See citations under working paper version above.
  2. Jad Beyhum & Lorenzo Tedesco & Ingrid Van Keilegom, 2024. "Instrumental variable quantile regression under random right censoring," The Econometrics Journal, Royal Economic Society, vol. 27(1), pages 21-36.

    Cited by:

    1. Wei Miao & Jad Beyhum & Jonas Striaukas & Ingrid Van Keilegom, 2025. "High-dimensional censored MIDAS logistic regression for corporate survival forecasting," Papers 2502.09740, arXiv.org.
    2. Gilles Crommen & Jad Beyhum & Ingrid Van Keilegom, 2025. "Estimation of the complier causal hazard ratio under dependent censoring," Papers 2504.02096, arXiv.org.

  3. Gilles Crommen & Jad Beyhum & Ingrid Van Keilegom, 2024. "An instrumental variable approach under dependent censoring," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 33(2), pages 473-495, June.

    Cited by:

    1. Gilles Crommen & Jad Beyhum & Ingrid Van Keilegom, 2025. "Estimation of the complier causal hazard ratio under dependent censoring," Papers 2504.02096, arXiv.org.

  4. Jad Beyhum & Jean-Pierre Florens & Ingrid Keilegom, 2023. "A nonparametric instrumental approach to confounding in competing risks models," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 29(4), pages 709-734, October.

    Cited by:

    1. Gilles Crommen & Jad Beyhum & Ingrid Van Keilegom, 2024. "An instrumental variable approach under dependent censoring," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 33(2), pages 473-495, June.
    2. Gilles Crommen & Jad Beyhum & Ingrid Van Keilegom, 2025. "Estimation of the complier causal hazard ratio under dependent censoring," Papers 2504.02096, arXiv.org.

  5. Jad Beyhum & Eric Gautier, 2022. "Factor and Factor Loading Augmented Estimators for Panel Regression With Possibly Nonstrong Factors," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(1), pages 270-281, December.

    Cited by:

    1. Freeman, Hugo & Weidner, Martin, 2023. "Linear panel regressions with two-way unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 237(1).
    2. Timothy B. Armstrong & Martin Weidner & Andrei Zeleneev, 2024. "Robust estimation and inference in panels with interactive fixed effects," CeMMAP working papers 28/24, Institute for Fiscal Studies.

  6. Jad Beyhum & Jean-Pierre Florens & Ingrid Van Keilegom, 2022. "Nonparametric Instrumental Regression With Right Censored Duration Outcomes," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(3), pages 1034-1045, June.

    Cited by:

    1. Gilles Crommen & Jad Beyhum & Ingrid Van Keilegom, 2024. "An instrumental variable approach under dependent censoring," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 33(2), pages 473-495, June.
    2. Jad Beyhum & Lorenzo Tedesco & Ingrid Van Keilegom, 2022. "Instrumental variable quantile regression under random right censoring," Papers 2209.01429, arXiv.org, revised Feb 2023.
    3. Gilles Crommen & Jad Beyhum & Ingrid Van Keilegom, 2025. "Estimation of the complier causal hazard ratio under dependent censoring," Papers 2504.02096, arXiv.org.
    4. Lorenzo Tedesco & Jad Beyhum & Ingrid Van Keilegom, 2023. "Instrumental variable estimation of the proportional hazards model by presmoothing," Papers 2309.02183, arXiv.org.

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 20 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (17) 2019-04-29 2019-09-02 2020-11-02 2020-12-07 2021-05-10 2021-10-25 2022-03-07 2022-09-19 2022-10-17 2023-07-17 2023-08-28 2023-08-28 2023-10-02 2024-02-12 2024-02-12 2025-01-13 2025-05-05. Author is listed
  2. NEP-ETS: Econometric Time Series (5) 2023-07-17 2023-08-28 2024-02-12 2025-01-27 2025-03-24. Author is listed
  3. NEP-ORE: Operations Research (3) 2020-11-02 2020-12-07 2021-05-31
  4. NEP-DCM: Discrete Choice Models (1) 2024-02-12
  5. NEP-FOR: Forecasting (1) 2025-03-24
  6. NEP-HEA: Health Economics (1) 2021-05-10
  7. NEP-IAS: Insurance Economics (1) 2021-05-10
  8. NEP-INV: Investment (1) 2025-01-13

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