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RPICPI User Group

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  National Statistician's respon...
February 22, 2013 7:14 AMBethan Evans
  RE:National Statistician's res...
February 24, 2013 5:11 PMTony Cox
  RE:National Statistician's res...
February 27, 2013 6:03 AMGareth Jones
  RE:National Statistician's res...
February 27, 2013 6:11 AMGareth Jones
  RE:National Statistician's res...
February 27, 2013 7:07 AMGareth Jones
  RE:National Statistician's res...
March 12, 2013 8:23 AMTony Cox
  RE:National Statistician's res...
May 12, 2013 3:35 PMTony Cox
 

1.
National Statistician's response to consultation on options for i...
From: Bethan Evans
To: RPICPI User Group
Posted: February 22, 2013 7:14 AM
Subject: National Statistician's response to consultation on options for improving the RPI
Message:

Dear All,

I would like to highlight that this morning the response to the National Statistician's consultation on options for improving the RPI was published on the ONS website. Alongside the response ONS has published a letter from the Bank of England regarding the RPI changes, advice provided by independent experts and a copy of responses to the consultation. Links to the releases are available on this page.

You may also be interested to know that ONS will be publishing articles explaining the new CPIH and RPIJ measures of inflation on 12 March. A back series will also be published in addition to describing the new measures. Links to the articles will appear on this page.

Kind regards,

Bethan
Prices Division
Office for National Statistics

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2.
RE:National Statistician's response to consultation on options fo...
From: Tony Cox
To: RPICPI User Group
Posted: February 24, 2013 5:11 PM
Subject: RE:National Statistician's response to consultation on options for improving the RPI
Message:
Dear All,

With our agreement the User Group response has been published by the ONS, along with others that also agreed to publication.

You can find these responses by following the link, kindly provided by Bethan Evans, below and then clicking on, 'Responses to options for improving RPI consultation (Warning: 31MB download)' which appears as the last item under the downloads heading.   Our response appears in the list as 'RPI consultation_response from T.Cox'.

You can also find our response in the library section of this web-site, where it was posted on 29 November 2012.

Tony Cox
Chair



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3.
RE:National Statistician's response to consultation on options fo...
From: Gareth Jones
To: RPICPI User Group
Posted: February 27, 2013 6:03 AM
Subject: RE:National Statistician's response to consultation on options for improving the RPI
Message:
I have been looking at some of the expert advice ONS has received on the RPI consultation responses and at related material.  There is much reference to possible biases of various kinds with different indices or formulae.  However it is all theoretical and unquantified. 

In Statistics generally, we live with biases of many kinds because the biases are small enough not to have a significant practical effect, or because there is nothing better available.  Some things referred to as bias are actually more like variance, because their direction can change.

I think the whole RPI/CPI debate would benefit from quantification of any biases or other effects brought into the argument.  I suspect many theoretically possible effects are trivial in practice and could be ignored.

Such quantification needs to be done using real life UK price data.  At the moment this means that ONS has to do the work, but I think consideration should be given to releasing the datasets for research by others, which should speed up such work.  The datsets are not confidential, being publicly quoted prices.  There may be computer security issues if researchers are using ONS computers for the research, but arrangements have been put in place for similar research on other datasets, so there is no real problem here.

GJ






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4.
RE:National Statistician's response to consultation on options fo...
From: Gareth Jones
To: RPICPI User Group
Posted: February 27, 2013 6:11 AM
Subject: RE:National Statistician's response to consultation on options for improving the RPI
Message:
A further thought on this matter relates to biases based on an assumption or premise(e.g. a distributional form).  Quantification should be relative to actual data not an assumption.  One could of course test the assumption first, but such tests are rarely conclusive.  It is always better to work from a real life dataset.
 
GJ


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5.
RE:National Statistician's response to consultation on options fo...
From: Gareth Jones
To: RPICPI User Group
Posted: February 27, 2013 7:07 AM
Subject: RE:National Statistician's response to consultation on options for improving the RPI
Message:
A matter emerging as important in the RPI/CPI debate is what is the "target" that one is trying to approximate by using different formulae at the elementary aggregate level?

One of the arguments being used is that the target should be symmetric between base and current time periods.  This then usually leads to either the CSWD or Jevons formula as approximations to the target.  At first sight this is plausible, but there is problem.

While formulae which approximate the base period weights (Carli and Dutot) hold these weights constant in the months between chain links, those which approximate current weights (or a compromise between base and current period weights) allow the weights (or more correctly implied weights) to vary on a monthly basis. 

If this variation merely created variance in the index it would not be much of a problem.  However, I have shown in my response to the RPI consultation (also posted in the library on this site) that, at least in the case of the Jevons formula, the monthly changes in implied weights create a downward bias which approximates to the formula effect between the Carli and Jevons formulae.  I think it also follows that the CSWD formula would have a downward bias.

If actual weights could be obtained at the lowest level of aggregation (e.g. from market research or scanner data), there would be a time lag before these weights could be applied.  If one ignored the "no revisions" policy one could simply wait until appropriate weights became available and produce a revised index which could be symmetric.  "No revisions" means this can't be made an official index.  However it does not prevent research being undertaken to see what the effect would be.

This is the approach which should now be pursued, not use of the Jevons formula.

GJ






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6.
RE:National Statistician's response to consultation on options fo...
From: Tony Cox
To: RPICPI User Group
Posted: March 12, 2013 8:23 AM
Subject: RE:National Statistician's response to consultation on options for improving the RPI
Message:

INTRODUCTION OF NEW INDEXES RPIJ and CPIH + ANNUAL CHANGE TO BASKET OF GOODS

1.  Further to the National Statistician's response to the consultation on the RPI, the ONS has today published a paper introducing the new RPIJ index.  
http://www.ons.gov.uk/ons/guide-method/user-guidance/prices/cpi-and-rpi/introducing-the-new-rpij-measure-of-consumer-price-inflation.pdf


2.  Also published today is an article introducing the new CPIH index. 
http://www.ons.gov.uk/ons/guide-method/user-guidance/prices/cpi-and-rpi/introducing-the-new-cpih-measure-of-consumer-price-inflation.pdf


3.  An ONS press release on the annual changes to the basket of goods has a reference to the detailed changes made to the basket of goods.  It also references the documents referred to above on RPIJ and CPIH.
http://www.ons.gov.uk/ons/rel/mro/news-release/basket-of-goods/basket-nr-0313.html

Tony Cox




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7.
RE:National Statistician's response to consultation on options fo...
From: Tony Cox
To: RPICPI User Group
Posted: May 12, 2013 3:35 PM
Subject: RE:National Statistician's response to consultation on options for improving the RPI
Attachment(s):
Message:
Please see the attached ONS response to the User Group comments on the 'Options for Improving the RPI' consultation.

Tony Cox
Chair, RPI CPI User Group






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