A survey of econometric methods for mixed-frequency data
Claudia Foroni and
Massimiliano Marcellino
No ECO2013/02, Economics Working Papers from European University Institute
Abstract:
The development of models for variables sampled at different frequencies has attracted substantial interest in the recent econometric literature. In this paper we provide an overview of the most common techniques, including bridge equations, MIxed DAta Sampling (MIDAS) models, mixed frequency VARs, and mixed frequency factor models. We also consider alternative techniques for handling the ragged edge of the data, due to asynchronous publication. Finally, we survey the main empirical applications based on alternative mixed frequency models.
Keywords: mixed-frequency data; mixed-frequency VAR; MIDAS; nowcasting; forecasting (search for similar items in EconPapers)
JEL-codes: C53 E37 (search for similar items in EconPapers)
Date: 2013
New Economics Papers: this item is included in nep-mst
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (85)
Downloads: (external link)
http://cadmus.eui.eu/bitstream/handle/1814/25844/ECO_2013_02.pdf main text
Related works:
Working Paper: A survey of econometric methods for mixed-frequency data (2013) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eui:euiwps:eco2013/02
Access Statistics for this paper
More papers in Economics Working Papers from European University Institute Badia Fiesolana, Via dei Roccettini, 9, 50014 San Domenico di Fiesole (FI) Italy. Contact information at EDIRC.
Bibliographic data for series maintained by Cécile Brière ().