Disaggregation methods based on MIDAS regression

Alain Guay and Alain Maurin

Economic Modelling, 2015, vol. 50, issue C, 123-129

Abstract: The need to combine data from different frequencies plays an important role for many economic decision-makers and economists. The process, which consists in using higher frequency data to construct a higher frequency indicator from its lower frequency counterpart, is called temporal disaggregation. In this paper, we propose a new temporal disaggregation technique based on MIDAS regression using time series data sampled at different frequencies. We first propose a simple disaggregation procedure more flexible than the more traditional approaches, such as Chow–Lin (1971), and we extend the procedure to a dynamic setting. The proposed procedure is flexible enough to take into account seasonality or calendar effects. An extensive simulation study examines the performance of the new approach compared to alternative approaches.

Keywords: Temporal disaggregation; MIDAS regression (search for similar items in EconPapers)
JEL-codes: C32 E32 (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecmode:v:50:y:2015:i:c:p:123-129

DOI: 10.1016/j.econmod.2015.05.013

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