[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]

From |
Daniel Egan <dp.egan@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: turning low frequency data into high frequency |

Date |
Mon, 14 Mar 2005 13:51:37 -0500 |

I do have to wonder though exactly what the implication of this would be, technically speaking (and as an economist): Since the monthly data will not vary within a month, any analysis that looks at correllations using daily data will be in effect (a better statistician can correct me on this) comparing the monthly means of the daily data with the means of the monthly data, but with more observations. Also, if you interpret the expanded monthly data as a monthly average for example, there are problems explaining what you mean: a) if the monthly data is the predictor*: how can the monthly average "affect" the resulting value on the first day of the month, when the average hasn't existed (in its data form) yet? The converse is true as well. b) Months with more days will be over-represented. As such, if the monthly figure is (for example) total sales, months in which you would expect higher sales (because there are more days to sell things) will be over-represented, inflating estimates. The difference is one of 3 days (28 days versus 31 days) at maximum, which represents a 10% increase (roughly) of selling time. If the monthly data is a one-time sample, or represents an end-of-month cumulative figure (such as total sales), similar problems arise. I would say that a better method is to transform the daily data into monthly, in whatever manner Fabia finds appropriate. Unless she is aiming at a technique such as Nick Cox hints at, in which case carry on... Just my thoughts. Cheers, Dan *Variable notations do not imply causation, just which side of the equation they appear on. Nick Cox escrito: > Perhaps I should have underlined that > economists do this ... with the aid > of a so-called indicator series > at the higher frequency. Thus any > inferences, or implications, that this is "making it up" > are going too far. Like many statistical > procedures, it is a matter of doing the > best you can with the data you have. > > Nick > n.j.cox@durham.ac.uk >> > > I think Fabia really did want what she > > asked for. Economists do this! > > Fabia Carvalho > > > > does anyone know if Stata can generate a > > > > series of high frequency data (eg. monthly) from an > > > > original low frequency one (eg. quarterly)? * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**RE: st: turning low frequency data into high frequency***From:*"Wallace, John" <John_Wallace@affymetrix.com>

- Prev by Date:
**st: Re: Number cases into groups based on a shared value** - Next by Date:
**RE: st: turning low frequency data into high frequency** - Previous by thread:
**RE: st: turning low frequency data into high frequency** - Next by thread:
**RE: st: turning low frequency data into high frequency** - Index(es):

© Copyright 1996–2017 StataCorp LLC | Terms of use | Privacy | Contact us | What's new | Site index |