Markov-switching MIDAS models
Title: Markov-switching MIDAS models
Publisher: Amer Statistical Assoc
Citation: Journal of business & economic statistics, 2013, Vol. 31, No. 1, pp. 45-56
This article introduces a new regression model Markov-switching mixed data sampling (MS-MIDAS)-that incorporates regime changes in the parameters of the mixed data sampling (MIDAS) models and allows for the use of mixed-frequency data in Markov-switching models. After a discussion of estimation and inference for MS-MIDAS and a small sample simulation-based evaluation, the MS-MIDAS model is applied to the prediction of the U.S. economic activity, in terms of both quantitative forecasts of the aggregate economic activity and the prediction of the business cycle regimes. Both simulation and empirical results indicate that MS-MIDAS is a very useful specification.
Subject: Business cycle; Forecasting; Mixed-frequency data; Nonlinear models; Nowcasting; Predicting us recessions; likelihood ratio test; business-cycle; economic-activity; time-series; euro area; gdp; indicators; selection; output
This article is based on EUI ECO WP; 2011/03
Initial version: http://hdl.handle.net/1814/15644
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