| Organisation
1. The Workshop was held from 22 to 26 October
at the UN Conference Centre, Bangkok.
It was jointly sponsored by the Organisation
for Economic Co-operation and Development, the
Asian Development Bank and the UN Economic and
Social Commission for Asia and the Pacific.
The following countries participated: China,
Hong Kong SAR, India, Indonesia, Lao PDR, Malaysia,
Philippines, Republic of Korea, Singapore, Thailand,
Vietnam. See Annex 1, List
of Participants
2. There were two parts to the Workshop: two
days for progress reports on implementation
of harmonised business tendency surveys in Asia
and three days for training in composite leading
indicators.
Progress
report on implementation of harmonised business
tendency surveys in Asia
3. OECD staff introduced the OECD-EU harmonised
business tendency survey programme at the first
workshop in Manila, 1999. A second workshop
was held in 2000 in Bangkok, at which, the ADB
initiated a regional technical assistance project
(RETA) which provided funds for five
countries to introduce harmonised business tendency
surveys on a pilot basis: India, Indonesia,
the Philippines, Thailand and Vietnam. Other
countries not covered by the RETA also decided
to move towards the harmonised BTS format, including
Malaysia, China and Lao PDR. At this third
workshop, participants reported their progress
since the 2000 meeting. Annex 2 contains two
tables summarising business tendency surveys
in Asia. Table 1 summarises the main features
of business tendency surveys in Asia; Table
2 summarises the progress that has been made
towards harmonisation over the last two years.
4. Points that came up in discussion:
- Business tendency
surveys in several Asian countries cover several
industrial sectors. The harmonised system
has separate questionnaires for industry,
trade, construction and other sectors.
Several questions are specific to particular
kinds of activities so that it is difficult
to design a single questionnaire for a broad
group of industries. The recommended
solution is to confine the survey to a single
kind of activity and OECD countries have found
that industry (mining, manufacturing,
electricity, gas and water) is the best sector
to start with as it is usually the most cyclical.
- The harmonised form of
the questions usually ask respondents to ignore
seasonal factors in comparing demand, order
books, prices, etc., with the situation in
previous or future periods. Some participants
felt that respondents could not properly take
account of seasonal variations and it would
be better to drop this part of the question.
Most, though not all, surveys in OECD countries
ask respondents to ignore seasonal variations
although this remains an area where further
research into respondent behaviour is called
for. The experience with surveys that
ask respondents to discount seasonal factors
is that the results are subject to less seasonal
variation although it is not totally eliminated.
- Surveys in some countries
have long histories. Users are comfortable
with the existing questionnaires and may be
disconcerted if existing questions are replaced
by the new harmonised versions. It was
suggested that one possibility would be to
run the two sets of questions in parallel
for a few periods so that users understand
the differences in response to the old and
the new harmonised versions.
- Several participants
requested advice on how to analyse results
of business tendency surveys and how to present
them. For example, what are the relative
merits of diffusion indices compared with
the net balance method; how are replies to
be interpreted to questions that refer to
a moving, rather than to a fixed, base period?
Supply
of BTS results to OECD
5. As noted above, several participants requested
advice on how to analyse and present results
of business tendency surveys. For this purpose,
countries will send to the OECD Excel files
containing historical data (balances) from business
tendency survey (series corresponding to the
harmonised questions). These will be used by
the OECD for the preparation of papers for a
future workshop on the analysis, interpretation
and presentation of business tendency survey
data.
6. Countries will send above requested data
on a regular basis to the OECD. These data will
be stored in a global database with BTS data
for both OECD Member countries and non-member
countries. These data will be made available
via the OECD web site to all countries and institutions
contributing to the development of this database.
Training
in composite leading indicators
7. The OECD Secretariat has developed a set
of composite leading indicators (CLIs) for its
Member countries. The indicator for each
country is made up by combining several statistical
series that have, in the past, shown cyclical
patterns that predate cycles in industrial production
by about six months. Because movements
in industrial production are highly correlated
with movements in Gross Domestic Product the
CLIs can predict turning points in GDP, as well
as industrial production, with a lead of approximately
6 months.
8. The OECD System of CLIs makes use of "qualitative"
information from business tendency surveys as
well as monetary and financial variables and
statistics on trade, employment, transport,
etc. The selection is different for each
country but in all cases they include qualitative
series from business tendency surveys.
These are forward-looking data and they have
been found to have good predictive value in
all countries. The OECD-ADB-ESCAP programme
to encourage wider use of business tendency
surveys is thus closely linked with development
of composite leading indicators.
9. The training programme was organised around
two software packages - Demetra which
is used for seasonal adjustment of sub-annual
statistics and which has been developed by Eurostat,
and the Composite Indicator software
developed by the OECD. For the training
session, all participants were provided with
PCs, the two software packages and user manuals.
The training covered:
- Introduction to the theory
of seasonal adjustment and description of
X12-RegARIMA, and TRAMO-SEATS;
- Practical application
of Demetra for seasonal adjustment
and relative merits of the two seasonal adjustment
methods;
- Introduction to the theory
of composite indicators (leading indicators
in particular) and description of the OECD
system;
- Use of the OECD Composite
Indicator programmefor:
- Selection of the reference
series - GDP, industrial production, or coincident
indicators,
- Definition of the reference
cycle by establishing turning points
in reference series,
- Selection of potential
leading indicator series and estimation of
turning points,
- Criteria for identifying
stable leading indicator series,
- Standardisation of amplitudes
for selected leading indicator series,
- Aggregation (weighted
or unweighted) to obtain a composite leading
indicator.
10. The participants successfully completed
all stages in the training course. Working
with a standard set of data, participants were
able to construct at least one composite leading
indicator. These were then compared with
the CLI that had been developed by OECD staff
using the same data set.
11. Two participants had already worked on
the construction of leading indicators and were
invited to share their experience. In
China, Mr Shi Faqi of the NBS has constructed
CLIs in co-operation with the OECD; in Malaysia,
Mr Mohd Yazid Kasim of the Department of Statistics
has worked with the US Conference Board to construct
leading indicators for Malaysia.
Future
programme
12. The participants were unanimous that a
further similar workshop in twelve months time
would be essential to review further progress
with the harmonised BTS and to consolidate the
CLI training.
13. As regards business tendency surveys,
Tables 1 and 2 show that several of the new
surveys have only just started. Exchange
of experience would be particularly valuable
on issues such as sample selection, relations
with respondents, improving response rates,
collection methods (electronic, paper, fax etc.)
data editing and data analysis.
14. As regards composite leading indicators,
participants at the training session worked
with a set of data that had been "pre-selected"
by OECD staff and which had already been seasonally
adjusted. In working with their own data,
participants will need to:
- review what short-term
economic series are available in their own
countries;
- adjust them for seasonal
variations (Demetra); and
- run the OECD Composite
Indicator programme to date the business
cycle, find turning points in candidate series
and combine the selected series to form composite
indicators.
15. At the next meeting, participants will
exchange their experience, describe problems
and solutions and present preliminary CLIs for
their countries.
16. In response to the request by participants
for a further meeting, the Secretariats of ESCAP,
ADB and OECD agreed to investigate the possibilities
of holding a workshop towards the end of 2002.
It could take place in Bangkok and would have
two main agenda items - composite leading indicators
and business tendency surveys.
Annex
1: LIST OF PARTICIPANTS
CHINA
- Mr Gao Huiqing,
Deputy Division Director, Department of Economic
Forecasting, State Information Center
- Mr Lin Tao, Deputy Director,
Business Survey Division, Enterprise Organization,
National Bureau of Statistics
- Mr Shi Faqi, Deputy Director,
Comprehensive Division, National Accounts
Department, National Bureau of Statistics
HONG KONG, CHINA
- Ms Wendy S. M. Hung,
Statistician, Census and Statistics Department
INDIA
- Mr Tarlok Singh,
Director, Department of Economic Analysis
and Policy, Reserve Bank of India
- Mr Atul Sood, Senior
Economist, National Council of Applied Economic
Research Deputy Head of Survey Division
INDONESIA
- Mr Hari Utomo, Manager,
Real Sector and Government Finance, Statistics
Division, Directorate of Economic and Monetary
Statistics, Bank of Indonesia
- Mr Hamonangan Ritonga,
Deputy Director for Cross-Sectoral Statistical
Analysis, BPS Statistics Indonesia
LAO PEOPLE'S DEMOCRATIC
REPUBLIC
- Mr Boonta Louangvixa,
Deputy Head of Survey Division, National Statistical
Centre, State Planning Committee
- Mr Bounmy Vilaychith,
Senior Staff, National Statistical Centre,
State Planning Committee
MALAYSIA
- Mr Koay Hock Eng, Assistant
Director, Price Statistics Division,
- Mr Mohd Yazid Kasim,Assistant
Director, National Accounts Statistics Division,
Department of Statistics
- Ms Low Ai Loon, Manager,
Economics Department, Bank Negara Malaysia
PHILIPPINES
- Ms Leticia D. De
Leon, Statistical Coordination Officer VI,
National Statistical Co-ordination Board
- Mr Antonio B. Cintura,
Acting Deputy Director, Bangko Sentral ng
Pilipinas
- Ms Ludivinia D. Gador,
Bank Officer VI, Bangko Sentral ng Pilipinas
REPUBLIC OF KOREA
- Mr Won Kee Lee, Economist,
Research Department, Bank of Korea
SINGAPORE
- Ms Koh Sok San, Statistician,
Department of Statistics, Ministry of Trade
and Industry
- Mr Wong See Ngee,
Statistician, Department of Statistics, Ministry
of Trade and Industry
- Mr Lem Kok Chan, Research
Analyst, Centre for Business Research &
Development, Faculty of Business Administration,
National University of Singapore
THAILAND
- Ms Pattama Teanravisistsagool,
Policy and Plan Analyst, Office of Macroeconomic
Policy, National Economic and Social Development
Board
- Ms Somsajee Siksamat,
Team Executive, MPG, Bank of Thailand
VIET NAM
- Ms Pham Thi Hong
Trang, Senior Expert Economist, Industrial
Statistics Department, General Statistical
Office
- Mr Nguyen Van Doan, Senior
Expert Socio-Economic Statistician, Department
of Trade and Price Statistics,General Statistical
Office.
- Ms Dinh Hien Minh, Researcher,
Unit for Policy Analysis and Economic Forecast,Central
Institute for Economic Management
- Ms Do Thi Thu Huong,
Researcher, Unit for Policy Analysis and Economic
Forecast,Central Institute for Economic Management
OBSERVERS
- Mr Manop Udomkerdmongkol,
Bank of Thailand
- Ms Ruamporn Sirirattrakul
Economic Statistics Division, National Statistical
Office
- Ms Montip Sumpunthawong,
Policy and Plan Analyst, National Economic
and Social Development Board
OECD SECRETARIAT
- Mr Derek Blades,Head,
Division for Non-Members, Statistics Directorate
- Mr Ronny Nilsson Administrator,
Division for Non-Members, Statistics Directorate
- Mr Olivier Brunet, Statistician,
Division for Non-Members, Statistics Directorate
ADB SECRETARIAT
- Mr Bishnu Dev Pant, Senior
Statistician, Statistics & Data Systems
Division
- Ms Barbara D. Carreon,
Statistics Analyst, Statistics & Data
Systems Division
ESCAP SECRETARIAT
- Mr Andrew J. Flatt,
Director, Statistics Division
- Mr Loh, Meng Kow Chief,
Statistical Information Services, Statistics
Division
- Mr Blaise Ehounoubakrohi,
Database Administrator, Statistical Information
Services Section, Statistics Division
- Ms Selma Guven, Statistician,
Statistics Development Section, Statistics
Division
- Mr Ilpo Survo, Programme
Officer, Statistics Development Section, Statistics
Division
- Mr Roberto Pagan,Associate
Statistician, Statistical Information Services
Section, Statistics Division
- Mr Joel Jere, Statistician,
Statistics Development Section, Statistics
Division
- Ms Heidi Arboleda, Regional
Adviser on National Accounts, Statistics Development
Section, Statistics Division
- Ms Neema Majmudar, Associate
Statistician, Statistics Development Section,
Statistics Division
- Mr M. Nuri Ozsever, Adviser
on Population Data Processing and Database
Management, UNFPA Country Support Team Office
for East and South Asia
- Ms Varaphorn Prapatsakdi,Administrative
Assistant, Statistics Division
ANNEX
2. BUSINESS TENDENCY SURVEYS IN ASIA.
Table
1. Business tendency surveys in Asia/Pacific
region: Survey characteristics
|
Country/ institute |
Start year |
Survey periodicity |
Sample size |
Response Rate (%) |
Sector coverage
|
| Industry
|
Construct-ion |
Retail trade |
Other |
| China
P.R |
| NBS |
1994 |
Quarterly |
15 000 |
90 |
yes |
yes |
yes |
services |
| SIC |
1990 |
Quarterly |
5 000 |
na |
yes |
no |
no |
no |
| Bank |
1990 |
Quarterly |
5 000 |
na |
yes |
no |
no |
no |
| China
H-K |
| NSO |
1990 |
Bi-annual |
300 |
na |
yes |
yes |
no |
services |
| India |
| NCAER |
1991 |
Quarterly |
1 500 |
12-23 |
yes |
no |
no |
no |
| Bank |
1998 |
Quarterly |
2 500 |
30 |
yes |
no |
no |
banking |
| Indonesia |
| NSO |
1996 |
Quarterly |
na |
na |
yes |
yes |
yes |
services |
| Bank |
1993 |
Quarterly |
1 000 |
70-75 |
yes |
yes |
yes |
services |
| Korea |
| Bank |
1991 |
Quarterly |
2 893 |
90 |
yes |
yes |
yes |
services |
| Malaysia |
| NSO |
1976 |
Bi-annual |
270 |
100 |
yes |
yes |
yes |
services |
| Bank |
1976 |
Quarterly |
270 |
|
yes |
yes |
yes |
services |
| MIER |
na |
Quarterly |
750 |
100 |
yes |
no |
no |
no |
| FMM |
na |
Quarterly |
151 |
na |
yes |
no |
no |
no |
| Bank |
na |
Annual |
421 |
61-63 |
yes |
yes |
no |
no |
| Philippines |
| NSO |
1999 |
Annual |
112 |
83 |
yes |
no |
no |
exporters |
| Bank |
1986 |
Bi-annual |
725 |
na |
yes |
yes |
yes |
services |
| Singapore |
| NSO |
1975 |
Quarterly |
1 250 |
90 |
no |
no |
yes |
services |
| Thailand |
| NSO |
2000 |
Annual |
30 000 |
na |
yes |
no |
no |
no |
| Bank |
1999 |
Monthly |
1 150 |
35 |
yes |
no |
yes |
services |
| Ministry |
1993 |
Quarterly |
1 140 |
60 |
yes |
no |
yes |
services |
| NESD |
1998 |
Quarterly |
500 |
20-25 |
yes |
yes |
yes |
services |
| Vietnam |
| NSO |
2000 |
Monthly |
500 |
na |
yes |
yes |
yes |
no |
|