Friedrich, M. and Lin, Y. (2024). Sieve bootstrap inference for linear time-varying coefficient models Journal of Econometrics, 239(1):1--29.
24 Key Publications
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\de Haan\, L. and Zhou, C. (2024). Bootstrapping Extreme Value Estimators Journal of the American Statistical Association, 119(545):382--393. -
Menkveld, A., Caskurlu, T., Vladimirov, V. and Project\, \.C.A. (2024). Nonstandard Errors The Journal of Finance, 79(3):2339--2390. -
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. (2024). Autoregressive conditional betas Journal of Econometrics, 238(2):1--22. -
Blasques, F., \van Brummelen\, J., Gorgi, P. and Koopman, \.J. (2024). Maximum Likelihood Estimation for Non-Stationary Location Models with Mixture of Normal Distributions Journal of Econometrics, 238(1):. -
Lange, R. (2024). Bellman filtering and smoothing for state-space models Journal of Econometrics, 238(2):. -
Magnus, \JanR.\ (2024). A gentle introduction to matrix calculus Journal of Econometrics, 244(1):. -
Gorgi, P., Koopman, \.J. and Schaumburg, J. (2024). Vector autoregressions with dynamic factor coefficients and conditionally heteroskedastic errors Journal of Econometrics, 244(2):1--23. -
Creal, D., Koopman, \.J., Lucas, A. and Zamojski, M. (2024). Observation-driven filtering of time-varying parameters using moment conditions Journal of Econometrics, 238(2):1--14. -
Camehl, A., Fok, D. and Gruber, K. (2024). On superlevel sets of conditional densities and multivariate quantile regression Journal of Econometrics, 249:. -
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. -
\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. -
Kleen, O. (2024). Scaling and measurement error sensitivity of scoring rules for distribution forecasts Journal of Applied Econometrics, 39(5):833--849. -
D'Innocenzo, E. and Lucas, A. (2024). Dynamic partial correlation models Journal of Econometrics, 241(2):. -
Armillotta, M. and Gorgi, P. (2024). Pseudo-variance quasi-maximum likelihood estimation of semi-parametric time series models Journal of Econometrics, 246(1-2):. -
Opschoor, D. and \van der Wel\, M. (2024). A Smooth Shadow-Rate Dynamic Nelson-Siegel Model for Yields at the Zero Lower Bound Journal of Business and Economic Statistics, :. -
Tommasi, D. and Zhang, L. (2024). Bounding Program Benefits When Participation Is Misreported Journal of Econometrics, 238(1):.