Estimating cross-section common stochastic trends in nonstationary panel data, Journal of Econometrics, vol.122, issue.1, pp.137-183, 2004. ,
DOI : 10.1016/j.jeconom.2003.10.022
Inferential Theory for Factor Models of Large Dimensions, Econometrica, vol.71, issue.1, pp.135-171, 2003. ,
DOI : 10.1111/1468-0262.00392
Maximum Likelihood Estimation and Inference for Approximate Factor Models of High Dimension, Review of Economics and Statistics, vol.31, issue.2, pp.98-298, 2016. ,
DOI : 10.1214/aos/1176346060
URL : https://mpra.ub.uni-muenchen.de/42099/1/MPRA_paper_42099.pdf
Determining the Number of Factors in Approximate Factor Models, Econometrica, vol.70, issue.1, pp.191-221, 2002. ,
DOI : 10.1111/1468-0262.00273
A PANIC Attack on Unit Roots and Cointegration, Econometrica, vol.72, issue.4, pp.1127-1177, 2004. ,
DOI : 10.1111/j.1468-0262.2004.00528.x
URL : http://fmwww.bc.edu/EC-P/WP519.pdf
Determining the Number of Primitive Shocks in Factor Models, Journal of Business & Economic Statistics, vol.25, issue.1, pp.52-60, 2007. ,
DOI : 10.1198/073500106000000413
URL : http://www.columbia.edu/~sn2294/pub/jbes07.pdf
Large Dimensional Factor Analysis, Foundations and Trends?? in Econometrics, vol.3, issue.2, pp.89-163, 2008. ,
DOI : 10.1561/0800000002
URL : https://www.nowpublishers.com/article/DownloadSummary/ECO-002
Factor-augmented Error Correction Models Eds The methodology and practice of econometrics -a festschrift for David Hendry, pp.227-254, 2009. ,
Forecasting with factor-augmented error correction models, International Journal of Forecasting, vol.30, issue.3, pp.589-612, 2014. ,
DOI : 10.1016/j.ijforecast.2013.01.009
URL : http://nber-nsf09.ucdavis.edu/program/papers/marcellino.pdf
Dynamic factor models, cointegration, and error correction mechanisms, 2017. ,
DOI : 10.17016/feds.2016.018
URL : https://doi.org/10.17016/feds.2016.018
Non-Stationary Dynamic Factor Modelsfor Large Datasets, 2017. ,
DOI : 10.17016/feds.2016.024r1
URL : https://doi.org/10.17016/feds.2016.024r1
Measuring The Eects Of Monetary Policy : A Factor- Augmented Vector Autoregressive (FAVAR) Approach, Quarterly Journal of Economics, vol.120, issue.1, pp.387-422, 2005. ,
DOI : 10.3386/w10220
Pr??vision ?? court terme de la croissance du PIB fran??ais ?? l???aide de mod??les ?? facteurs dynamiques, ??conomie & pr??vision, vol.199, issue.1, pp.1-30, 2012. ,
DOI : 10.3406/ecop.2012.8096
URL : http://www.persee.fr/docAsPDF/ecop_0249-4744_2012_num_199_1_8096.pdf
A two-step estimator for large approximate dynamic factor models based on Kalman filtering, Journal of Econometrics, vol.164, issue.1, pp.188-205, 2011. ,
DOI : 10.1016/j.jeconom.2011.02.012
URL : https://hal.archives-ouvertes.fr/hal-00844811
Time Series Analysis by State Space Methods, 2001. ,
DOI : 10.1093/acprof:oso/9780199641178.001.0001
Co-Integration and Error Correction: Representation, Estimation, and Testing, Econometrica, vol.55, issue.2, pp.251-276, 1987. ,
DOI : 10.2307/1913236
Forecasting, structural time series models and the Kalman lter, 1991. ,
Likelihood-based inference in cointegrated vector-autoregressive models, 1995. ,
DOI : 10.1093/0198774508.001.0001
Determining the Number of Factors from Empirical Distribution of Eigenvalues, Review of Economics and Statistics, vol.36, issue.9, pp.1004-1016, 2010. ,
DOI : 10.1198/073500106000000585
Testing for Common Trends, Journal of the American Statistical Association, vol.83, issue.404, pp.1097-1107, 1988. ,
DOI : 10.1214/aoms/1177706450
Forecasting Using Principal Components From a Large Number of Predictors, Journal of the American Statistical Association, vol.97, issue.460, pp.1167-1179, 2002. ,
DOI : 10.1198/016214502388618960
URL : http://www.princeton.edu/~mwatson/papers/Stock_Watson_JASA_2002.pdf
Macroeconomic Forecasting Using Diffusion Indexes, Journal of Business & Economic Statistics, vol.20, issue.2, pp.147-162, 2002. ,
DOI : 10.1198/073500102317351921
URL : http://scholar.harvard.edu/files/stock/files/macroeconomic_forecasting_using_diffusion_indexes.pdf
Dynamic Factor Models",in Clements MP, Henry DF Oxford Handbook of Economic Forecasting, quarterly; M = monthly. IPI (C1) (or C2, C3, C5, in that order) represents the industrial production index in the following activities of the aggregated classication, 2010. ,
, C1 = Manufacture of food products and beverages, C2 = Manufacture of coke and rened petroleum products, C3 = Electrical and electronic equipment; machine equipment, C5 = other manufacturing (excluding transport)
, CL2 = Manufacture of other transport equipment Sources : a) INSEE; b) Eurostat; c) OECD; d) French Ministry of Ecology; e) Nyse Euronext Paris; f) Standard & Poor's; g) FTSE; h) Frankfurt SE; i) Financial Times; j) OSE; k) CBOE; l) Bank of France; m) IMF; n) Daily press; o) Global insight; p) LBMA; q) ECB; r) IFO; s) ZEW; t) DESTATIS; u) Census Bureau; v) Federal Reserve Board, CL1 = Manufacture of motor vehicles, trailers, and semi-trailers BLS; x) ISM. Timeliness : M+k for a series which is available k months after the end of month M