Juodis, A. and Sarafidis, V. (2022). An incidental parameters free inference approach for panels with common shocks Journal of Econometrics, 229(1):19--54.
Arturas Juodis
University
University of Amsterdam
E-mail
Research field
Econometrics
Interests
Econometric Theory, Panel Data
Website
Biography
Arturas Juodis is an Associate Professor at the Amsterdam School of Economics with the focus on econometric theory of panel data models. His current research on econometrics of misspecified panel data models is financed by the NWO Veni grant. His research was published in the Journal of Econometrics, the Journal of Business and Economic Statistics, and the Econometrics Journal, among others.
Key publications
Juodis, A. (2022). A regularization approach to common correlated effects estimation Journal of Applied Econometrics, 37(4):788--810.
Juodis, A. and 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.
Juodis, A. and Reese, S. (2022). The Incidental Parameters Problem in Testing for Remaining Cross-Section Correlation Journal of Business and Economic Statistics, 40(3):1191--1203.
Juodis, A., Karabiyik, H. and Westerlund, J. (2021). On the robustness of the pooled CCE estimator Journal of Econometrics, 220(2):325--348.
List of publications
Juodis, A. and Kučinskas, S. (2023). Quantifying noise in survey expectations Quantitative Economics, 14(2):609--650.
Juodis, A. and Sarafidis, V. (2022). An incidental parameters free inference approach for panels with common shocks Journal of Econometrics, 229(1):19--54.
Juodis, A. (2022). A regularization approach to common correlated effects estimation Journal of Applied Econometrics, 37(4):788--810.
Juodis, A. and 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.
Juodis, A. and Reese, S. (2022). The Incidental Parameters Problem in Testing for Remaining Cross-Section Correlation Journal of Business and Economic Statistics, 40(3):1191--1203.
Juodis, A., Karavias, Y. and Sarafidis, V. (2021). A homogeneous approach to testing for Granger non-causality in heterogeneous panels Empirical Economics, 60(1):93–112.
Juodis, A. and Poldermans, R. (2021). Backward mean transformation in unit root panel data models Economics Letters, 201:.
Juodis, A., Karabiyik, H. and Westerlund, J. (2021). On the robustness of the pooled CCE estimator Journal of Econometrics, 220(2):325--348.
Juodis, A. and Westerlund, J. (2019). Optimal panel unit root testing with covariates Econometrics Journal, 22(1):57--72.
Juodis, A. (2018). Rank based cointegration testing for dynamic panels with fixed T Empirical Economics, 55(2):349--389.
Juodis, A. and Sarafidis, V. (2018). Fixed T dynamic panel data estimators with multifactor errors Econometric Reviews, 37(8):893--929.
Juodis, A. (2018). First difference transformation in panel VAR models: Robustness, estimation, and inference Econometric Reviews, 37(6):650--693.
Juodis, A. (2018). Pseudo Panel Data Models With Cohort Interactive Effects Journal of Business and Economic Statistics, 36(1):47--61.
Bun, M., Carree, M. and Juodis, A. (2017). On Maximum Likelihood Estimation of Dynamic Panel Data Models Oxford Bulletin of Economics and Statistics, 79(4):463--494.
Juodis, A. (2013). A note on bias-corrected estimation in dynamic panel data models Economics Letters, 118(3):435--438.