216 Key Publications

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  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.

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  Wan, P. and Davis, R. (2022). Goodness-of-fit testing for time series models via distance covariance Journal of Econometrics, 227(1):4--24.

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  Böhm, H., Schaumburg, J. and Tonzer, L. (2022). Financial Linkages and Sectoral Business Cycle Synchronization: Evidence from Europe IMF Economic Review, 70(4):698--734.

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  Blasques, F., Koopman, S.J. and Nientker, M. (2022). A time-varying parameter model for local explosions Journal of Econometrics, 227(1):65--84.

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  Juodis, A. (2022). A regularization approach to common correlated effects estimation Journal of Applied Econometrics, 37(4):788--810.

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  Ikefuji, M., Laeven, RogerJ.A., Magnus, JanR. and Yue, Y. (2022). Earthquake Risk Embedded in Property Prices: Evidence From Five Japanese Cities Journal of the American Statistical Association, 117(537):82--93.

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  Almeida, C. and Freire, G. (2022). Pricing of index options in incomplete markets Journal of Financial Economics, 144(1):174--205.

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  De Luca, G., Magnus, JanR. and Peracchi, F. (2022). Sampling properties of the Bayesian posterior mean with an application to WALS estimation Journal of Econometrics, 230(2):299--317.

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  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.

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  Blasques, F., van Brummelen, J., Koopman, S.J. and Lucas, A. (2022). Maximum likelihood estimation for score-driven models Journal of Econometrics, 227(2):325--346.

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  Okui, R. and Wang, W. (2021). Heterogeneous structural breaks in panel data models Journal of Econometrics, 220(2):447--473.

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  Kleibergen, F. (2021). Efficient size correct subset inference in homoskedastic linear instrumental variables regression Journal of Econometrics, 221(1):78--96.

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  De Vos, I. and Everaert, G. (2021). Bias-Corrected Common Correlated Effects Pooled Estimation in Dynamic Panels Journal of Business and Economic Statistics, 39(1):294--306.

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  Li, M. and Koopman, S. (2021). Unobserved components with stochastic volatility: Simulation-based estimation and signal extraction Journal of Applied Econometrics, 36(5):614--627.

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  Fazzio, I., Eble, A., Lumsdaine, RobinL., Boone, P., Bouy, B., Hsieh, P.T.J., Jayanty, C., Johnson, S. and Silva, A.F. (2021). Large learning gains in pockets of extreme poverty: Experimental evidence from Guinea Bissau Journal of Public Economics, 199:.

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  Boswijk, H., Cavaliere, G., Georgiev, I. and Rahbek, A. (2021). Bootstrapping non-stationary stochastic volatility Journal of Econometrics, 224(1):161--180.

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  Einmahl, JohnH.J., Yang, F. and Zhou, C. (2021). Testing the Multivariate Regular Variation Model Journal of Business and Economic Statistics, 39(4):907--919.

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  Juodis, A., Karabiyik, H. and Westerlund, J. (2021). On the robustness of the pooled CCE estimator Journal of Econometrics, 220(2):325--348.

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  Blasques, F., Gorgi, P. and Koopman, S.J. (2021). Missing observations in observation-driven time series models Journal of Econometrics, 221(2):542--568.

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  Conrad, C. and Kleen, O. (2020). Two are better than one: Volatility forecasting using multiplicative component GARCH-MIDAS models Journal of Applied Econometrics, 35(1):19--45.