Dr. A. (Arturas) Juodis
Faculteit Economie en Bedrijfskunde
Sectie Quantitative Economics
Bezoekadres
- Roetersstraat 11
Postadres
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Postbus 15867
1001 NJ Amsterdam
Contactgegevens
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Publicaties
2026
- Juodis, A., & Reese, S. (2026). Five lessons for applied researchers from twenty years of common correlated effects estimation. Journal of Econometrics, 253, Article 106120. Advance online publication. https://doi.org/10.1016/j.jeconom.2025.106120
2025
- Boot, T., & Juodis, A. (2025). Uniform inference in linear error-in-variables models: Divide-and-conquer. Econometric Reviews, 44(3), 335-355. https://doi.org/10.1080/07474938.2024.2417166
- Juodis, A. (2025). This shock is different: Estimation and inference in misspecified two-way fixed effects panel regressions. Econometric Theory. Advance online publication. https://doi.org/10.1017/S026646662510008X
- de Brabander, E., Juodis, A., & Miyazato Szini, G. (2025). On the use of synthetic difference-in-differences approach with (-out) covariates: The case study of Brexit referendum. Econometric Reviews, 44(10), 1617-1646. https://doi.org/10.1080/07474938.2025.2530649
2023
Juodis, A., & Kučinskas, S. (2023). Quantifying noise in survey expectations. Quantitative Economics, 14(2), 609-650. https://doi.org/10.3982/QE1633 [details]- Juodis, A., & Sarafidis, V. (2023). New results on asymptotic properties of likelihood estimators with persistent data for small and large T. SERIEs, 14(3-4), 435-461. https://doi.org/10.1007/s13209-023-00286-y [details]
- Xiao, J., Karavias, Y., Juodis, A., Sarafidis, V., & Ditzen, J. (2023). Improved tests for Granger noncausality in panel data. Stata Journal, 23(1), 230-242. https://doi.org/10.1177/1536867X231162034 [details]
2022
- Juodis, A. (2022). A regularization approach to common correlated effects estimation. Journal of Applied Econometrics, 37(4), 788-810. https://doi.org/10.1002/jae.2899 [details]
- Juodis, A., & Reese, S. (2022). The Incidental Parameters Problem in Testing for Remaining Cross-Section Correlation. Journal of Business and Economic Statistics, 40(3), 1191-1203. https://doi.org/10.1080/07350015.2021.1906687 [details]
- Juodis, A., & Sarafidis, V. (2022). A Linear Estimator for Factor-Augmented Fixed-T Panels With Endogenous Regressors. Journal of Business and Economic Statistics, 22(1), 1-15. https://doi.org/10.1080/07350015.2020.1766469
- Juodis, A., & Sarafidis, V. (2022). An incidental parameters free inference approach for panels with common shocks. Journal of Econometrics, 229(1), 19-54. https://doi.org/10.1016/j.jeconom.2021.03.011 [details]
2021
- Juodis, A., & Poldermans, R. W. (2021). Backward mean transformation in unit root panel data models. Economics Letters, 201, Article 109780. https://doi.org/10.1016/j.econlet.2021.109780 [details]
- Juodis, A., Karabiyik, H., & Westerlund, J. (2021). On the robustness of the pooled CCE estimator. Journal of Econometrics, 220(2), 325-348. https://doi.org/10.1016/j.jeconom.2020.06.002 [details]
- Juodis, A., Karavias, Y., & Sarafidis, V. (2021). A homogeneous approach to testing for Granger non-causality in heterogeneous panels. Empirical Economics, 60(1), 93–112. https://doi.org/10.1007/s00181-020-01970-9 [details]
2019
- Juodis, A., & Westerlund, J. (2019). Optimal panel unit root testing with covariates. Econometrics Journal, 22(1), 57-72. https://doi.org/10.1111/ectj.12118
2018
- Juodis, A. (2018). First difference transformation in panel VAR models: Robustness, estimation, and inference. Econometric Reviews, 37(6), 650-693. https://doi.org/10.1080/07474938.2016.1139559 [details]
- Juodis, A. (2018). Pseudo Panel Data Models With Cohort Interactive Effects. Journal of Business and Economic Statistics, 36(1), 47-61. https://doi.org/10.1080/07350015.2015.1137759 [details]
- Juodis, A. (2018). Rank based cointegration testing for dynamic panels with fixed T. Empirical Economics, 55(2), 349-389. https://doi.org/10.1007/s00181-017-1304-8 [details]
- Juodis, A., & Sarafidis, V. (2018). Fixed T dynamic panel data estimators with multifactor errors. Econometric Reviews, 37(8), 893-929. https://doi.org/10.1080/00927872.2016.1178875 [details]
2017
- Bun, M. J. G., Carree, M. A., & Juodis, A. (2017). On Maximum Likelihood Estimation of Dynamic Panel Data Models. Oxford Bulletin of Economics and Statistics, 79(4), 463-494. https://doi.org/10.1111/obes.12156 [details]
2013
- Juodis, A. (2013). A note on bias-corrected estimation in dynamic panel data models. Economics Letters, 118(3), 435-438. https://doi.org/10.1016/j.econlet.2012.12.013 [details]
2014
- Bun, M. J. G., Carree, M. A., & Juodis, A. (2014). On Maximum Likelihood estimation of dynamic panel data models. (UvA-Econometrics Discussion Paper; No. 2014/04). University of Amsterdam. http://aseri.uva.nl/binaries/content/assets/subsites/amsterdam-school-of-economics-research-institute/uva-econometrics/dp-2014/1404.pdf?1418740984413 [details]
2013
- Juodis, A. (2013). Cointegration testing in panel VAR models under partial identification and spatial dependence. (UvA-Econometrics Discussion Paper; No. 2013-08). University of Amsterdam. http://aseri.uva.nl/binaries/content/assets/subsites/amsterdam-school-of-economics-research-institute/uva-econometrics/dp-2013/1308.pdf [details]
- Juodis, A. (2013). First difference transformation in panel VAR models: Robustness, estimation and inference. (UvA-Econometrics Discussion Paper; No. 2013-06). University of Amsterdam. http://aseri.uva.nl/binaries/content/assets/subsites/amsterdam-school-of-economics-research-institute/uva-econometrics/dp-2013/1306revised.pdf [details]
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Nevenwerkzaamheden
Geen nevenwerkzaamheden
Juodis, A., & Kučinskas, S. (2023). Quantifying noise in survey expectations. Quantitative Economics, 14(2), 609-650.