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Working papers



PRE-PRINTS

Mean square errors of factors extracted using principal components, linear projections, and Kalman filter
M. Barigozzi, D. Fresoli, E. Ruiz
arXiv:2601.04087.v1   Jan 2026

The canonical decomposition of factor models: weak factors are everywhere
P. Gersing, M. Barigozzi, C. Rust, M. Deistler
arXiv:2307.10067.v2   Mar 2025

Predicting energy demand with tensor factor models
M. Banin, M. Barigozzi, L.Trapin
arXiv:2502.06213.v1   Feb 2025

Estimation of large approximate dynamic matrix factor models based on the EM algorithm and Kalman filtering
M. Barigozzi, L.Trapin
arXiv:2502.04112.v2   May 2025

Measuring the euro area output gap
M. Barigozzi, C. Lissona, M. Luciani
arXiv:2505.05536.v2   Nov 2025

Large datasets for the euro area and its member countries and the dynamic effects of the common monetary policy
M. Barigozzi, C. Lissona, L. Tonni
arXiv:2410.05082.v2   Nov 2025   Codes

Quasi maximum likelihood estimation and inference of large approximate dynamic factor models via the EM algorithm
M. Barigozzi, M. Luciani
arXiv:1910.03821.v5   Sep 2024   Codes

Principal component analysis for high-dimensional approximate factor models in time series: assumptions, asymptotic theory, and identification
M. Barigozzi
arXiv:2211.01921.v6   Feb 2026

Robust tensor factor analysis
M. Barigozzi, Y. He, L. Li, L. Trapani
arXiv:2303.18163.v2   Aug 2023


SELECTED PERMANENT WORKING PAPERS

Quasi maximum likelihood estimation of non-stationary large approximate dynamic factor models
M. Barigozzi, M. Luciani
arXiv:1910.09841   2019

Common factors, trends, and cycles in large datasets
M. Barigozzi, M. Luciani
FEDS 2017-111   2017

Multiple string alignment
M. Barigozzi, P. Pin
ICTP mimeo   2002