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., 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. -
He, Y. (2024). Ridge Regression Under Dense Factor Augmented Models Journal of the American Statistical Association, 119(546):1566--1578. -
Tommasi, D. and Zhang, L. (2024). Bounding Program Benefits When Participation Is Misreported Journal of Econometrics, 238(1):. -
D'Innocenzo, E., Lucas, A., Opschoor, A. and Zhang, X. (2024). Heterogeneity and dynamics in network models Journal of Applied Econometrics, 39(1):150--173. -
Lange, R. and Teulings, \.(. (2024). Irreversible investment under predictable growth: Why land stays vacant when housing demand is booming Journal of Economic Theory, 215:. -
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, S.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):. -
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, :. -
D\textquoterightInnocenzo, E., Lucas, A., Schwaab, B. and Zhang, X. (2024). Modeling Extreme Events: Time-Varying Extreme Tail Shape Journal of Business and Economic Statistics, 42(3):903--917. -
Tommasi, D. and Zhang, L. (2024). Identifying program benefits when participation is misreported Journal of Applied Econometrics, 39(6):1123--1148. -
Magnus, JanR. (2024). A gentle introduction to matrix calculus Journal of Econometrics, 244(1):. -
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. -
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. -
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):.