Wolfgang Bittermann Directorate R BAKU 24 - 27 September 2013 www.statistik.at Chapter 4 Data Sources and data collection 8th OCG Meeting We provide information.

Download Report

Transcript Wolfgang Bittermann Directorate R BAKU 24 - 27 September 2013 www.statistik.at Chapter 4 Data Sources and data collection 8th OCG Meeting We provide information.

Wolfgang Bittermann
Directorate R
BAKU
24 - 27 September 2013
www.statistik.at
Chapter 4
Data Sources and data
collection
8th OCG Meeting
We provide information
The 3rd draft
colours used :
• Green – new text
• Yellow – input from partners needed
• Cyan – country examples (Austria) that should be
replaced by examples from other countries
This draft doesn’t include contributions from the
volunteers, for the time being (because they were not
invited to contribute so far).
www.statistik.at
slide 2 | 6 November 2015
Recommendations from OCG 7th meeting 1
Provided a number of suggestions for the chapter to
include:
• a reference to the multipurpose approach to data collection and
the reuse of data;
• a link to the statistical production process that is presented in
Chapter 8;
• a reference to the use of secondary data sources for validation
purposes;
• some text on the data disclosure and challenge with
confidentiality issues;
• some text on the legal obligation which in some cases would
decide what kind of data sources/collection methods to use.
www.statistik.at
slide 3 | 6 November 2015
Recommendations from OCG 7th meeting 2
• Considered important that the chapter keeps the focus on data
collection and compilation methods specific to energy statistics.
Recommended that attention should be paid not to have
overlaps with the information presented in other chapters of the
ESCM. In particular, the discussion of quality aspects and
metadata should not covered in detail in this chapter, but in
Chapter 8.
• Discussed if modeling should be included in the chapter and to
what extent. Some suggested that it should be mentioned only
when it is used for data collection/compilation (e.g. identifying
the sample frame). Country practices could be included on this
topic. This will be revisited once a revised draft chapter is
available.
www.statistik.at
slide 4 | 6 November 2015
Recommendations from OCG 7th meeting 3
• Agreed also to include some text on how to proceed in situations
where data collection by questionnaires or administrative
registers does not work (i.e. reference to the presentation from
Ghana)
• Suggested to include as country practice the use of client
information for natural gas in the Netherlands.
• Suggested to include also more information on energy prices (i.e.
reference to paper prepared for the 4th Oslo group meeting in
Ottawa) and how to provide good price information.
www.statistik.at
slide 5 | 6 November 2015
Comments on the 2nd draft
•
•
•
•
•
•
•
•
•
•
•
•
Include data editing, imputation validation
Modeling later in the chapter
Adjustments for energy accounts
Role of legislation
Correction of biases from sample surveys
Include Prices
IRES product classification/SIEC
More specific to energy
Data sources by type of flows
Advantages/disadvantages of methods
Economic performance of energy industries
Data items on reserves/resources
www.statistik.at
slide 6 | 6 November 2015
What is new 1
• 2 additional subchapters


Modeling
Multipurpose approaches – Country practices
• Link to chapter 8
• More details on planning a new data collection
(multipurpose data use)
• Energy accounts
• Matrix on suitable instruments
• Examples for registers
• Country examples
www.statistik.at
slide 7 | 6 November 2015
What is new 2
• Focus on measurement units
• International classifications
• Comparison between supplier – consumer surveys
• Price statistics
• Model based data validation
• Model based estimation if surveys/registers don‘t
work
• Country examples
www.statistik.at
slide 8 | 6 November 2015
What is still needed
• Additional country examples (highlighted in yellow)




Energy accounts
Supplier surveys
Consumption surveys in industry/services
Household energy consumption in a tropical country
• Country cases to replace Austrian examples (highlighted in
cyan)




Electricity and gas consumption by purpose
Austrian household energy consumption survey
Model based data validation
Modeling electricity consumption (data matching)
• Text modules to complement or replace the existing text
www.statistik.at
slide 9 | 6 November 2015
Matrix on suitable instruments
Information areas
Data
sources/collection
techniques
Respondents
admin data
data owners
Potential flows observed
Potential items
observed
production /transformation output
imports/exports
Energy supply
census/conentrated
sample
Energy
transformation
Energy
consumption
census/conentrated
sample
traded energy carriers
by type
energy industries
stock changes
other energy producers
deliveries to the market
energy industries
transformation input/losses
fuels used
other energy producers
transformation output
energy carriers by
type
Business registers
from Energy
industries
data owners
sample surveys
consumers
consumption of Energy industries
transformation input
final energy consumption
energy carriers by
type
non energy consumption
Energy prices
census/conentrated
sample
suppliers/traders
metering
Energy efficiency
Energy poverty
modelling
sample surveys
consumers
admin. data
data owners
modelling
sample surveys
www.statistik.at
consumers
expenditures/costs
traded energy carriers
by type
consumption by purpose (as
basis for calculating the
indicators needed)
energy carriers by
type
expenditures for space heating,
cooling and electricity as share of
the overall income
traded fuels for space
heating,
electricity
slide 10 | 6 November 2015
Questions to the group
• Do you agree with the proposed structure?
• Is the matrix complete or are you still missing something?
• Who has/knows good examples to be used?
I now invite especially the institutions that have offered to
contribute to give their input to that parts of the chapter they
are not happy with, for the time being, and to assist the
coordinator with examples for their countries to fill the
country example gaps.
www.statistik.at
slide 11 | 6 November 2015
Volunteers to assist in the drafting of
Chapter 4
Country/Organization
Representative
E-mail
Indonesia/BPS Statistics Indonesia
Mr. Mudjiandoko
[email protected]
Canada/Statistics Canada
Andy Kohut
[email protected]
Cameroon/Ministère de l'Energie et de
l'Eau (MINEE)
Defo Wafo Sylvain
[email protected] ,
[email protected]
Congo/Ministère de l'Energie
Willy Kipoy S. Musalu
[email protected]
Ghana/Energy Commission of Ghana
Salifu Addo
[email protected]
UK/UK Department of Energy and Climate
Iain MacLeay
Change (DECC)
[email protected]
México/Instituto Nacional de Estadística y
Roberto López Pérez
Geografía
[email protected]
Australian Bureau of Statistics
[email protected]
UNSD
www.statistik.at
Karen Connaughton
[email protected]
slide 12 | 6 November 2015
Next steps (from the coordinators PoV)
• Decision on the structure of the chapter: during this
meeting
• Decision who will contribute and in which way: during
this meeting
• Submission of the conrtibutions to the coordinator:
November 2014
• Implementation of the contributions: December 2014
• Copy editing of the final draft.
www.statistik.at
slide 13 | 6 November 2015
Please address queries to:
Wolfgang Bittermann
Contact information:
Guglgasse 13, 1110 Vienna
phone: +43 (1) 71128-7315
fax: +43 (1) 71128-8155
wolfgang.bittermann@statistik.
gv.at
www.statistik.at
Thank you for your
attention
slide 14 | 6 November 2015