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Francisco Blasques

Research Fellow

University
Vrije Universiteit Amsterdam
Research field
Econometrics
Interests
Econometrics, Time Series Econometrics

Key publications

List of publications

Blasques, F., Francq, C. and Laurent, S. (2022). Quasi score-driven models Journal of Econometrics, :.

van de Werve, I., Blasques, F., Koopman, S.J. and Heres Hoogerkamp, M. (2021). Dynamic factor models with clustered loadings: Forecasting education flows using unemployment data International Journal of Forecasting, 37(4):1426--1441.

Blasques, F., van Brummelen, J., Koopman, S.J. and Lucas, A. (2021). Maximum likelihood estimation for score-driven models Journal of Econometrics, :.

Blasques, F., Koopman, S.J. and Lucas, A. (2020). Nonlinear autoregressive models with optimality properties Econometric Reviews, 39(6):559--578.

Blasques, F., Gorgi, P. and Koopman, S.J. (2020). Missing observations in observation-driven time series models Journal of Econometrics, :.

Blasques, F., Gorgi, P. and Koopman, S.J. (2019). Accelerating score-driven time series models Journal of Econometrics, 212(2):359--376.

Blasques, F. and Duplinskiy, A. (2018). Penalized indirect inference Journal of Econometrics, 205(1):34--54.

Blasques, F., Lucas, A. and Silde, E. (2018). A Stochastic Recurrence Equations Approach for Score Driven Correlation Models Econometric Reviews, 37(2):166--181.

Blasques, F., Bräuning, F. and Lelyveld, I.V. (2018). A dynamic network model of the unsecured interbank lending market Journal of Economic Dynamics and Control, 90:310--342.

Blasques, F., Koopman, S., Lasak, K. and Lucas, A. (2016). Rejoinder to the discussion 'In-Sample Confidence Bands and Out-of-Sample Forecast Bands for Time-Varying Parameters in Observation-Driven Models' International Journal of Forecasting, 32(3):893--894.

Blasques, F., Koopman, S., Lucas, A. and Schaumburg, J. (2016). Spillover dynamics for systemic risk measurement using spatial financial time series models Journal of Econometrics, 195(2):211--223.

Blasques Albergaria Amaral, F., Koopman, S., Mallee, M. and Zhang, Z. (2016). Weighted Maximum Likelihood for Dynamic Factor Analysis and Forecasting with Mixed Frequency Data Journal of Econometrics, 193(2):405--417.

Blasques, F., Koopman, S., Lasak, K. and Lucas, A. (2016). In-Sample Confidence Bands and Out-of-Sample Forecast Bands for Time-Varying Parameters in Observation Driven Models International Journal of Forecasting, 32(3):875--887.

Blasques, F., Koopman, S. and Lucas, A. (2015). Information Theoretic Optimality of Observation Driven Time Series Models Biometrika, 102(2):325--343.