Low - Frequency Econometrics ∗

نویسندگان

  • Ulrich K. Müller
  • Mark W. Watson
چکیده

Many questions in economics involve long-run or “trend” variation and covariation in time series. Yet, time series of typical lengths contain only limited information about this long-run variation. This paper suggests that long-run sample information can be isolated using a small number of low-frequency trigonometric weighted averages, which in turn can be used to conduct inference about long-run variability and covariability. Because the low-frequency weighted averages have large sample normal distributions, large sample valid inference can often be conducted using familiar small sample normal inference procedures. Moreover, the general approach is applicable for a wide range of persistent stochastic processes that go beyond the familiar (0) and (1) models. JEL classification: C22, C32, C12

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تاریخ انتشار 2015