De Vos, I. and Stauskas, O. (2024). Cross-section bootstrap for CCE regressions Journal of Econometrics, 240(1):.
221 Key Publications
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Camehl, A., Fok, D. and Gruber, K. (2024). On superlevel sets of conditional densities and multivariate quantile regression Journal of Econometrics, 249:. -
Blasques, F., Francq, C. and Laurent, S. (2024). Autoregressive conditional betas Journal of Econometrics, 238(2):1--22. -
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):. -
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. -
Kleen, O. (2024). Scaling and measurement error sensitivity of scoring rules for distribution forecasts Journal of Applied Econometrics, 39(5):833--849. -
Lange, R. (2024). Bellman filtering and smoothing for state-space models Journal of Econometrics, 238(2):. -
D'Innocenzo, E. and Lucas, A. (2024). Dynamic partial correlation models Journal of Econometrics, 241(2):. -
He, Y. (2024). Ridge Regression Under Dense Factor Augmented Models Journal of the American Statistical Association, 119(546):1566--1578. -
Blasques, F., Francq, C. and Laurent, S. (2023). Quasi score-driven models Journal of Econometrics, 234(1):251--275. -
Gorgi, P. and Koopman, S.J. (2023). Beta observation-driven models with exogenous regressors: A joint analysis of realized correlation and leverage effects Journal of Econometrics, 237(2):1--21. -
Almeida, C., Fan, J., Freire, G. and Tang, F. (2023). Can a Machine Correct Option Pricing Models? Journal of Business and Economic Statistics, 41(3):995--1009. -
He, Y., Jaidee, S. and Gao, J. (2023). Most powerful test against a sequence of high dimensional local alternatives Journal of Econometrics, 234(1):151--177. -
Blasques, F., Harvey, A.C., Koopman, S.J. and Lucas, A. (2023). Time-Varying Parameters in Econometrics: The editor's foreword Journal of Econometrics, 237(2):1--3. -
Blasques, F. and Nientker, M. (2023). Stochastic properties of nonlinear locally-nonstationary filters Journal of Econometrics, 235(2):2082--2095. -
Guggenberger, P., Kleibergen, F. and Mavroeidis, S. (2023). A Test for Kronecker Product Structure Covariance Matrix Journal of Econometrics, 223(1):88--112. -
Kole, E. and \van Dijk\, D. (2023). Moments, shocks and spillovers in Markov-switching VAR models Journal of Econometrics, 236(2):. -
Lumsdaine, R., Okui, R. and Wang, W. (2023). Estimation of panel group structure models with structural breaks in group memberships and coefficients Journal of Econometrics, 233(1):45--65.