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On the Choice of Instruments in Mixed Frequency Specification Tests
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) regression models provide a concise way
to utilize the additional information 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
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