Methodology for deriving the STRI
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Methodology for deriving the STRIMethodology for deriving the STRI
Hildegunn Kyvik NordåsAlexandros Ragoussis
OECD Trade and AgricultureOEC D/TAD Services expert meeting
2 July 2009
www.oecd.org/trade/stri
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OECD Trade & Agriculture 2
Top Down Bottom Up
Approaches to quantifying barriers to trade in servicesApproaches to quantifying barriers to trade in services
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OECD Trade & Agriculture 3
OverviewOverview
•Selection of indicators
•Sources of information
•Scoring
•Weighting
•Aggregation
•Robustness checks
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OECD Trade & Agriculture 4
Selection of indicatorsSelection of indicators
•Explicit barriers to trade and investment
•Barriers and regulations that are: – mentioned explicitly in the GATS
– mentioned explicitly in regional trade agreements
– identified by experts at services expert meetings
– Related to future negotiations on rules in the WTO/GATS
•Statistical methods to prevent overlap
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OECD Trade & Agriculture 5
Sources of informationSources of information
•OECD Product Market Regulation
– STRI added questions on treatment of foreign parties;
•OECD restrictions on foreign investment indicators and codes of liberalisation and capital movement;
•Surveys undertaken in relation to three services expert meetings;
•OECD Communications Outlook;
•ITU
•Government websites;
•Other
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OECD Trade & Agriculture 6
Scoring – transforming qualitative Scoring – transforming qualitative information to quantitative scoresinformation to quantitative scores
•Objectives:
– Independent of the sample can easily be extended to new countries
– Retain the variation in the underlying data
– Comparable across countries and time
– Comparable across sectors
– Simple
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OECD Trade & Agriculture 7
Choice of scoring methodologyChoice of scoring methodology
The objectives
The features of the data
Computer Professional Construction Telecoms
Binary 47 (81%) 361 (94%) 77 (86%) 200 (87%)
Continuous 11 23 13 29
Total 58 384 90 229
Several alternatives were exploredBinary scores chosen
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OECD Trade & Agriculture 8
Transforming continuous to binary dataTransforming continuous to binary data
Methodology Comments Example
Above or below an absolute threshold
Independent of sampleMay reduce variance
Foreign equity limit < 50%
Multiple absolute thresholds Independent of samplePreserve variance
Foreign equity limits < 33%< 50%< 66%
Above or below sample mean
Dependent of sampleMay reduce variance
Local loop unbundling price mean
Multiple sample related thresholds
Dependent of samplePreserve variance
< mean – one s.d.< mean< mean + one s.d.
Above or below global threshold(s)
Independent of cross-section sample, but still not comparable over time
Number of countries f.w. visas for business trips required
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OECD Trade & Agriculture 9
Choice of weighting schemeChoice of weighting scheme
•Ideal: The marginal impact on trade;
– Cannot be confidently estimated
•Preliminaries:
– A large number of regulations;
– Relatively few observations (29 countries);
– Regulations categorised using principal component analysis in the PMR
•Methodologies explored
– Expert judgement
– Principal component analysis
– Equal weights
– Random weights (for robustness checks)
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OECD Trade & Agriculture 10
Weighting schemes cont.Weighting schemes cont.
•Expert judgement:
– Observations on regulation categorised as in the PMR
– Experts at the sectoral expert meetings ranked categories and scored individual measures
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OECD Trade & Agriculture 11
Example: Expert ranking, professional servicesExample: Expert ranking, professional services
Group 1 Group 2 Group 3 Group 4 Group 5
Restrictions on foreign ownership and other market entry conditions 1 1 1 1 3
Discriminatory measures and lack of transparancy 2 2 2 4 2
Public ownership, size and scope of public enterprises 5 6 5 7 7
Price control and regulations on market behaviour 6 3 4 5 6
Regulatory transparency in licensing and permit systems 3 5 3 3 4
Barriers to competition 4 4 6 2 1
Red tape on start ups and administrative burdens 7 7 7 6 5
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OECD Trade & Agriculture 12
Example expert scoring, professional servicesExample expert scoring, professional services
Restrictions on foreign ownership and other market entry conditions AVERAGE MIN MAXNumber of
not relevantThere are statutory or other legal limits to the number or proportion of shares that can be acquired
by foreign investors 4.2 4 5 0
Only joint ventures are allowed 4.6 4 5 0There are restrictions on mergers and acquisitions 3.8 2 5 0The number of foreign firms permitted to practice is restricted by economic needs test 4.2 4 5 0The number of foreign firms permitted to practice is restricted by labour market needs test 4.0 0 5 1The number of foreign firms permitted to practice is restricted by quotas 4.6 4 5 0Residence requirement applies to foreign suppliers 3.2 2 4 0Number of foreign professionals permitted to practice is restricted by economic needs test 3.8 0 5 1Number of foreign professionals permitted to practice is restricted by labour market needs test 3.8 2 5 0Number of foreign professionals permitted to practice is restricted by quotas 4.2 3 5 0Residence requirement applies to foreign professionals 3.0 1 4 0Service provision reserved for nationals 5.0 5 5 0Nationality requirement of board members 3.6 1 5 0Nationality requirement of directors 3.8 2 5 0Nationality requirement of other personell 3.8 3 4 0Other restrictions on intra-corporate transferees 3.2 2 4 0
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OECD Trade & Agriculture 13
Weighting: expert judgement and equal weightsWeighting: expert judgement and equal weights
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OECD Trade & Agriculture 14
For telecommunicationsFor telecommunications
•Regulations necessary for competitive markets;
•Absence of regulation can be trade restrictive when markets are not competitive;
•Therefore an interaction term is introduced:compdumss kk ˆ
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OECD Trade & Agriculture 15
Weighting schemes: PCAWeighting schemes: PCA
Principal Component Analysis (PCA) assigns the highest
weights to the measures with the largest variation
More variables than observations in the dataset
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OECD Trade & Agriculture 16
What difference does the weighting scheme make?What difference does the weighting scheme make?
ComputerConstruction Professional Telecoms
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OECD Trade & Agriculture 17
AggregationAggregation
•Is the additional burden of another measure
– Constant?
– Increasing in the number of measures?
– Declining in the number of measures?
•Constant is assumed
– More research needed to assume otherwise
– Allows for multiple classifications
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OECD Trade & Agriculture 18
Multiple classificationsMultiple classifications
•By regulatory category (from PMR)
•By GATS definitions (MA+NT; DR)
•By discriminatory/non-discriminatory
•By mode
•By restrictions on operations/entry
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OECD Trade & Agriculture 19
Summary - methodologySummary - methodology
•Scoring: Binary
•Weights: Equal weights of measures within categories, expert judgement on categories;
•Aggregation: linear
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OECD Trade & Agriculture 20
Example: professional servicesExample: professional servicesE
qual
wei
ghts
wit
hin
cate
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es
Expert judgmentCategories of measures are ranked from the most to the least trade restrictive
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OECD Trade & Agriculture 21
Robustness: rank correlationsRobustness: rank correlations
Computer Construction Professional Telecoms
EJ/EQ 0.90 0.92 0.84 0.89
EJ/PCA 0.47 0.76 0.84 0.83
The STRIs are not very sensitive to the weighting scheme
Possible exception: Computer services
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OECD Trade & Agriculture 22
ConclusionsConclusions
•The STRI is a composite index calculated on the basis of information on regulation only;
•A number of scoring and weighting schemes have been explored;
•Choice of scoring scheme is data driven
•Choice of weighting scheme is based on the literature:
– some restrictions are more important than others
– Which measures are more restrictive is based on expert judgement
•OECD countries have relatively even regulatory profiles
results are not very sensitive to weighting schemes
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OECD Trade & Agriculture 23
www.oecd.org/trade
OECD Trade and AgricultureOECD Trade and Agriculture