On the choice of instruments in mixed frequency specification tests
Department of Mathematical Sciences
Time averaging has been the traditional approach to handle mixed sampling frequencies. However, it ignores information possibly embedded in high frequency. Mixed data sampling (MIDAS) regres-sion models provide a concise way to utilize the additional informa-tion in high-frequency variables. In this paper, we propose a specification test to choose between time averaging and MIDAS models, based on a Durbin-Wu-Hausman test. In particular, a set of instrumental variables is proposed and theoretically validated when the frequency ratio is large. As a result, our method tends to be more powerful than existing methods, as reconfirmed through the simulations.
Communications in Statistics - Theory and Methods
On the choice of instruments in mixed frequency specification tests.
Communications in Statistics - Theory and Methods,
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