Paap, R. and Franses, \.H. (2025). Shrinkage estimators for periodic autoregressions Journal of Econometrics, 247:.
221 Key Publications
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\de Santis\, R., Goeman, \JelleJ.\, Hemerik, J., Davenport, S. and Finos, L. (2025). Inference in generalized linear models with robustness to misspecified variances Journal of the American Statistical Association, https://doi.org/10.1080/01621459.2025.2491775:. -
Margaritella, L. and Sessinou, R. (2025). Precision Least Squares: Estimation and Inference in High-Dimensions Journal of Business and Economic Statistics, :. -
Frazier, D., Renault, E., Zhang, L. and Zhao, X. (2025). Weak Identification in Discrete Choice Models Journal of Econometrics, 248:. -
Bertsch, C., Hull, I., Lumsdaine, \RobinL.\ and Zhang, X. (2025). Central bank mandates and monetary policy stances: Through the lens of Federal Reserve speeches Journal of Econometrics, 249:. -
Kleibergen, F. and Kong, L. (2025). Identification robust inference for the risk premium in term structure models Journal of Econometrics, 248:. -
Blasques, F., Gorgi, P. and Koopman, S.J. (2025). Conditional Score Residuals and Diagnostic Analysis of Serial Dependence in Time Series Models Journal of Business and Economic Statistics, :. -
\de Haan\, L. and Zhou, C. (2024). Bootstrapping Extreme Value Estimators Journal of the American Statistical Association, 119(545):382--393. -
Creal, D., Koopman, S.J., Lucas, A. and Zamojski, M. (2024). Observation-driven filtering of time-varying parameters using moment conditions Journal of Econometrics, 238(2):1--14. -
Naghi, \AndreaA.\, O'Neill, E. and \Danielova Zaharieva\, M. (2024). The benefits of forecasting inflation with machine learning: New evidence Journal of Applied Econometrics, 39(7):1321--1331. -
Blasques, F., van Brummelen, J., Gorgi, P. and Koopman, S.J. (2024). Maximum Likelihood Estimation for Non-Stationary Location Models with Mixture of Normal Distributions Journal of Econometrics, 238(1):. -
Blasques, F., Francq, C. and Laurent, S. (2024). Autoregressive conditional betas Journal of Econometrics, 238(2):1--22. -
Camehl, A., Fok, D. and Gruber, K. (2024). On superlevel sets of conditional densities and multivariate quantile regression Journal of Econometrics, 249:. -
Gorgi, P., Koopman, S.J. and Schaumburg, J. (2024). Vector autoregressions with dynamic factor coefficients and conditionally heteroskedastic errors Journal of Econometrics, 244(2):1--23. -
Friedrich, M. and Lin, Y. (2024). Sieve bootstrap inference for linear time-varying coefficient models Journal of Econometrics, 239(1):1--29. -
Armillotta, M. and Gorgi, P. (2024). Pseudo-variance quasi-maximum likelihood estimation of semi-parametric time series models Journal of Econometrics, 246(1-2):. -
Menkveld, A., Dreber, A., Holzmeister, F., Huber, J., Johanesson, M., Kirchler, M., Neusüss, S., Razen, M., Weitzel, U., Vladimirov, V., Caskurlu, T. and co-authors, O. (2024). Nonstandard Errors The Journal of Finance, 79(3):2339--2390. -
De Vos, I. and Stauskas, O. (2024). Cross-section bootstrap for CCE regressions Journal of Econometrics, 240(1):. -
Boswijk, \H.Peter\, Laeven, \RogerJ.A.\ and Vladimirov, E. (2024). Estimating option pricing models using a characteristic function-based linear state space representation Journal of Econometrics, 244(1):. -
Ahmed, H., Einmahl, \JohnH.J.\ and Zhou, C. (2024). Extreme value statistics in semi-supervised models Journal of the American Statistical Association, 120(549):291--304.