Friedrich, M. and Lin, Y. (2024). Sieve bootstrap inference for linear time-varying coefficient models Journal of Econometrics, 239(1):1--29.
27 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. -
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, C.(. (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. -
Ikefuji, M., Magnus, JanR. and Yamagata, T. (2024). Revealing priors from posteriors with an application to inflation forecasting in the UK Econometrics Journal, 27(1):151--170.
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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). -
DtextquoterightInnocenzo, 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. -
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., Laeven, R. and Vladimirov, E. (2024). Estimating option pricing models using a characteristic function-based linear state space representation Journal of Econometrics, 244(1). -
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).