Statistics Directorate

Meeting of the OECD Short-term Economic Statistics Expert Group (STESEG), Paris, 10 - 11 September 2009

 

The OECD Short-term Economic Statistics Expert Group (STESEG) meeting will be held at OECD headquarters, 2 rue André Pascal, Paris 75016, on Thursday 10 and Friday 11 September 2009.

 

Draft Agenda

 

Thursday 10 September

 

10.00 – 10.20 Welcome and introduction

 

10.20 – 12.00 Session I


Short-term economic statistics and the current crisis
The International Perspective
Chair – Alfredo Leone, International Monetary Fund

 

Since the financial crisis first emerged there have been questions asked about how statistics can help or could have helped. A task-force, led by the IMF (Inter-Agency Group on Economic and Financial Statistics), has been established to improve the availability of timely and relevant financial and economic indicators. This group recently produced the following website: http://principalglobalindicators.org  Proposals emerging from this task-force and other international initiatives will be discussed.

 

Background and introduction to topic
Alfredo Leone, International Monetary Fund

 

The current economic crisis: statistical initiatives of the E(S)CB
Daniela Schackis, ECB ppt presentation

 

Macroeconomic statistics and the current crisis:
Challenges ahead and statistical initiatives at the IMF

Alfredo Leone, International Monetary Fund ppt presentation

 

The OECD Perspective
David Brackfield, OECD

 

Discussion

 

12.00 – 14.00 Lunch

 

14.00 – 16.20 Session II


Short-term economic statistics and the current crisis
A national statistics office perspective
Chair – Gian Paolo Oneto, ISTAT

 

A situation like the financial crisis raises questions for National Statistics Offices in the basic compilation and dissemination of short-term economic statistics. What should a NSO do in regards to seasonal adjustment outliers, enterprise deaths mid-sample, mergers, the entry of the government into the market etc? This session will discuss these issues and allow NSOs an opportunity to learn from each other and if successful this could lead to a more consistent response to the challenges that the crisis has generated.

 

Background and introduction to topic
Gian Paolo Oneto, ISTAT

 

Statistical methods in a rapid recession

Derek Bird, United Kingdom Office for National Statistics (ONS) ppt presentation

 

Issues arising in the statistics from the crisis for the BEA
Dennis Fixler, US Bureau of Economic Analysis (BEA)

 

Measuring US industrial production during a downturn in economic activity
John J Stevens, US Federal Reserve Board

 

[tba]
Michael Smedes, Australian Bureau of Statistics (ABS)

 

The Italian housing market in the crisis: fresh evidence

Francesco Zollino, Bank of Italy

 

Discussion

 

16.20 – 16.40 Coffee Break

 

16.40 – 17.40 Session III


Implementation of new international classifications into short-term economic statistics
Chair – Brain Newson, Eurostat

 

The 2009 year has seen most of the international classification standards updated, for example ISIC rev 3.1 to rev 4 and NACE rev 1.1 to rev 2. The European Union has implemented a program of how the new standards will be introduced into short-term economic statistics. There are still a number of discussions (e.g. backcasting) that could take place about what impact these will have on the subject areas. In addition there is also scope for countries outside the EU to outline how and when they expect to make the change and their initial thinking.

 

Introduction
Brian Newson, Eurostat

 

Implementation of NACE rev. 2 in short-term economic statistics: what did we do in practice?
Leendert Hoven, Statistics Netherlands background paper

 

Calculation of STS-indicators in industries and construction according to NACE Rev. 2
Monika Brunauer, Statistics Austria

 

Discussion

 

17.40 – 19.00 OECD STESEG Cocktail, Salle Marshall

 

Friday 11 September


9.30 – 11.20 Session IV


The use of administrative data in improving short-term statistics estimates
Chair – Søren Kristensen, Statistics Denmark

 

NSOs are always faced with the need to reduce respondent load while at the same time becoming more efficient. A clear way forward is the increased use of administrative data. While this is a subject that the group has been involved with in the past, there is more scope for countries to discuss new methods, with a possible focus in the area of short-term service statistics. There is also a possibility of re-establishing the taskforce to update and revamp the existing frameworks as a number of conferences/workshops have taken place in the last few years.

 

Opening remarks
Søren Kristensen, Statistics Denmark

 

Use of administrative data in sub-annual statistics – how far can we go?
Kathy Connolly, Statistics New Zealand ppt presentation

 

“Why collect the same information twice?” Exploring the possibilities of using VAT data in the estimation of the Danish IIP
Søren Kristensen, Statistics Denmark

 

Use of administrative data in short-term statistics for the service sector
Daniel Lennartsson, Statistics Sweden ppt presentation

 

Credit-card purchases as a short-term indicator
Yoel Finkel, Central Bureau of Statistics Israel ppt presentation

 

Preparing for changes in adminstrative data for short-term statistics

Ville Koskinen, Statistics Finland

 

Discussion

 

11.20 – 11.40 Coffee Break

 

11.40 – 12.00 Session V


Development of short-term business demography statistics
Chair – David Brackfield, OECD

 

The OECD has recently developed a number of business demography indicators (such as entry, exit and survival rates) as part of its Entrepreneurship Indicators Programme. Most of these indicators are only available 2 to 3 years after the period to which they refer; making them less than ideal when it comes to assessing policies or events in real-time (like the current crisis). Timelier sources, namely Labour Force Surveys (LFS), are available that could provide more up-to-date indicators of business demography. See:
STD/CSTAT/STESWP(2008)5

 

Short-term indicators of business dynamics: entry, exit and survival rates
Nadim Ahmad, OECD

 

12.00 – 12.30 Session VI


National Presentations
Chair – David Brackfield, OECD

 

Benchmarking official data in Mexico
Adriana Jimenez-Pineda, INEGI Mexico ppt presentation

 

12.03 – 14.00 Lunch

 

14.00 –? Session VII


STESEG – Where to from here
Chair – David Brackfield, OECD

 

A summary of the meeting and a discussion on the future of the group with input from the delegates.

 

 

 

Countries list

  • Afghanistan
  • Albania
  • Algeria
  • Andorra
  • Angola
  • Anguilla
  • Antigua and Barbuda
  • Argentina
  • Armenia
  • Aruba
  • Australia
  • Austria
  • Azerbaijan
  • Bahamas
  • Bahrain
  • Bangladesh
  • Barbados
  • Belarus
  • Belgium
  • Belize
  • Benin
  • Bermuda
  • Bhutan
  • Bolivia
  • Bosnia and Herzegovina
  • Botswana
  • Brazil
  • Brunei Darussalam
  • Bulgaria
  • Burkina Faso
  • Burundi
  • Cambodia
  • Cameroon
  • Canada
  • Cape Verde
  • Cayman Islands
  • Central African Republic
  • Chad
  • Chile
  • China (People’s Republic of)
  • Chinese Taipei
  • Colombia
  • Comoros
  • Congo
  • Cook Islands
  • Costa Rica
  • Croatia
  • Cuba
  • Cyprus
  • Czech Republic
  • Côte d'Ivoire
  • Democratic People's Republic of Korea
  • Democratic Republic of the Congo
  • Denmark
  • Djibouti
  • Dominica
  • Dominican Republic
  • Ecuador
  • Egypt
  • El Salvador
  • Equatorial Guinea
  • Eritrea
  • Estonia
  • Ethiopia
  • European Union
  • Faeroe Islands
  • Fiji
  • Finland
  • Former Yugoslav Republic of Macedonia (FYROM)
  • France
  • French Guiana
  • Gabon
  • Gambia
  • Georgia
  • Germany
  • Ghana
  • Gibraltar
  • Greece
  • Greenland
  • Grenada
  • Guatemala
  • Guernsey
  • Guinea
  • Guinea-Bissau
  • Guyana
  • Haiti
  • Honduras
  • Hong Kong, China
  • Hungary
  • Iceland
  • India
  • Indonesia
  • Iraq
  • Ireland
  • Islamic Republic of Iran
  • Isle of Man
  • Israel
  • Italy
  • Jamaica
  • Japan
  • Jersey
  • Jordan
  • Kazakhstan
  • Kenya
  • Kiribati
  • Korea
  • Kuwait
  • Kyrgyzstan
  • Lao People's Democratic Republic
  • Latvia
  • Lebanon
  • Lesotho
  • Liberia
  • Libya
  • Liechtenstein
  • Lithuania
  • Luxembourg
  • Macao (China)
  • Madagascar
  • Malawi
  • Malaysia
  • Maldives
  • Mali
  • Malta
  • Marshall Islands
  • Mauritania
  • Mauritius
  • Mayotte
  • Mexico
  • Micronesia (Federated States of)
  • Moldova
  • Monaco
  • Mongolia
  • Montenegro
  • Montserrat
  • Morocco
  • Mozambique
  • Myanmar
  • Namibia
  • Nauru
  • Nepal
  • Netherlands
  • Netherlands Antilles
  • New Zealand
  • Nicaragua
  • Niger
  • Nigeria
  • Niue
  • Norway
  • Oman
  • Pakistan
  • Palau
  • Palestinian Administered Areas
  • Panama
  • Papua New Guinea
  • Paraguay
  • Peru
  • Philippines
  • Poland
  • Portugal
  • Puerto Rico
  • Qatar
  • Romania
  • Russian Federation
  • Rwanda
  • Saint Helena
  • Saint Kitts and Nevis
  • Saint Lucia
  • Saint Vincent and the Grenadines
  • Samoa
  • San Marino
  • Sao Tome and Principe
  • Saudi Arabia
  • Senegal
  • Serbia
  • Serbia and Montenegro (pre-June 2006)
  • Seychelles
  • Sierra Leone
  • Singapore
  • Slovak Republic
  • Slovenia
  • Solomon Islands
  • Somalia
  • South Africa
  • South Sudan
  • Spain
  • Sri Lanka
  • Sudan
  • Suriname
  • Swaziland
  • Sweden
  • Switzerland
  • Syrian Arab Republic
  • Tajikistan
  • Tanzania
  • Thailand
  • Timor-Leste
  • Togo
  • Tokelau
  • Tonga
  • Trinidad and Tobago
  • Tunisia
  • Turkey
  • Turkmenistan
  • Turks and Caicos Islands
  • Tuvalu
  • Uganda
  • Ukraine
  • United Arab Emirates
  • United Kingdom
  • United States
  • United States Virgin Islands
  • Uruguay
  • Uzbekistan
  • Vanuatu
  • Venezuela
  • Vietnam
  • Virgin Islands (UK)
  • Wallis and Futuna Islands
  • Western Sahara
  • Yemen
  • Zambia
  • Zimbabwe
  • Topics list