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Survey on Merchants' Costs of
Processing Cash and Card Payments
Preliminary Results
19 February 2014
Background
• Visa and MasterCard MIF cases
• MIFs are a restriction of competition
• 'Merchant Indifference Test' MIF benchmark:
• Merchants should not pay higher charges than the value of
transactional benefits that card use generates for them
• The MIF that meets the test is set at such a level that the
merchant is at least indifferent as to whether the customer pays
by card or in cash
• MIF income can then be used to stimulate uptake of cards on the
issuing side
2
Study history
Study on "Costs and benefits to merchants of accepting different
payment methods" (COMP/2008/D1/020): December 2008 –
September 2010
• Methodology + pilot internet survey in 3 countries
• Very low response rate, incomplete and unreliable responses
• Unsatisfactory methodological recommendations, need for further testing
Testing phase: January – June 2011
• In-depth interviews with 7 Dutch and British retailers
• Conclusion: workable questionnaire, but need for in-depth survey
Stakeholder consultation: October – December 2011
Revision of methodology: two-part approach
3
Methodology: two-part approach
1st part: survey of large merchants to collect detailed and precise
data on costs and estimate cost functions
• Target: 500 merchants (turnover>€50/20 million) in 10 countries (AT,
BE, DE, ES, FR, IT, NL, PL, SE, UK)
2nd part: survey of representative sample of merchants to collect data
on value and volume of payments and try to extrapolate cost function
to smaller merchants
• Target: 2000 merchants in same 10 countries, stratified according to
the 8 Eurostat size categories
• Both surveys contracted to Deloitte Consulting at the end of 2012
• Both delivered lower number of responses than the target
• Commission's analysis ongoing, only cost survey discussed today
4
Conclusions already possible?
• No; preliminary nature and limited applicability of information
presented today
• Further analysis required before the final report
• Application: assessment in competition cases
• For now, preliminary results do not form a reason to question the
0.20% and 0.30% caps applied by the schemes
5
Data collection – cost survey
In-depth survey to collect data on:
• Number and value of F2F transactions with cash, domestic debit cards, int'l four-
party debit cards, int'l four-party credit cards (data on at-distance transactions and
other payment means also collected)
• Cost level
• Cost nature (fixed vs variable costs)
Relevant costs:
• Payment processing at the till (time measurements)
• Back-office labour (annual hours per task, hourly wage)
• Outsourced back-office activities (typically cash-related)
• MSC per card type (total amount and structure)
• Payment processing equipment
• PCI-DSS
• Fraud and losses
• Surcharges and rebates (negative cost)
• Float (lost interest)
6
Coverage
7
249 billion EUR
card value
414 billion EUR
retail turnover
Coverage of the sample
Country
Number of
observations
Coverage in terms of
value of card
transactions (ECB data)
Coverage in terms of
retail trade (Eurostat
data)
Austria 15 5.6% 7.1%
Belgium 27 6.6% 5.8%
France 33 14.2% 17.1%
Germany 24 8.6% 8.0%
Italy 18 9.7% 6.6%
Netherlands 16 4.4% 4.9%
Poland 24 22.0% 16.9%
Spain 18 9.0% 5.8%
Sweden 50 9.5% 14.6%
UK 28 19.7% 37.0%
Grand Total 253 13.8% 14.7%
Total EU 12.2% 13.1%
Sample composition
8
Sample composition
9
Distribution of payment instruments
10
Distribution of payment instruments
11
ATVs:
CASH 15 EUR
DEBIT 42 EUR
CREDIT 51 EUR
OTHER 41 EUR
MIF calculation methodology
Linear cost functions:
TCj = Fj + aj*Nj + bj*Vj
where Fj - fixed costs of payment instrument j, aj – cost incurred each time a transaction with j takes place, Nj
– number of transactions with j, bj – cost incurred per unit of turnover with j, Vj – value of transactions with j
MIT MIF – based on marginal cost of cash and cards (net of
current MIF)
MCj = AVCj = aj + bj* ATVj
• MIT MIF = (acash – acard )/ATVcard + (bcash – bcard)
• (%) (€) (€) (%)
12
MIT MIF
Marginal
cost of
CASH
Marginal cost
of CARD
Acquiring
margin
MIFMSC
Other costs
of cards
Other costs
of cards
Acquiring
margin
MIT MIF
Capped
marginal cost
of CARD
MIT
MSC
MIF
MIF calculation methodology
• Identification of cost nature (fixed, variable by number, variable by
value) – based on individual responses
• 2 scenarios for identifying cost nature considered:
• Scenario 1: change triggered by one additional transaction
• Scenario 2: a 10% decrease in number of cash transactions over 3-4
years, replaced by card transactions
• Cost functions computed at merchant level, aggregated based on
merchants' relative number and value of card transactions
• Average acquiring margin – estimated using survey data on MSCs
and public MIF rates
• MIT MIF computed reflects the cost savings (relative to cash) of an
average card transaction in our sample
14
Aggregation of merchant costs
• Calculation of average variable cost per transaction for payment
instrument j in scenario s for the purpose of calculating MIT MIF
•
𝑎𝑗𝑠 = 𝑤𝑖 ∗ 𝑎𝑖𝑗𝑠
253
𝑖=1 , where 𝑤𝑖 =
𝑁 𝑖,𝑐𝑎𝑟𝑑
𝑁 𝑖,𝑐𝑎𝑟𝑑
253
𝑖=1
• Calculation of average variable cost per value for payment
instrument j in scenario s for the purpose of calculating MIT MIF
𝑏𝑗𝑠 = 𝑘𝑖 ∗ 𝑏𝑖𝑗𝑠
253
𝑖=1 , where 𝑘𝑖 =
𝑉 𝑖,𝑐𝑎𝑟𝑑
𝑉 𝑖,𝑐𝑎𝑟𝑑
253
𝑖=1
15
Marginal cost functions
Debit cards (scenario 2):
Cash: 0.09 EUR + 0.20% * transaction value
acash bcash
Debit cards (without acquiring margin or MIF):
0.10 EUR + 0.01% * transaction value
a*
card b*
card
16
MIT MIF
Marginal
cost of
CASH
Marginal cost
of CARD
Acquiring
margin
MIFMSC
Other costs
of cards
Other costs
of cards
Acquiring
margin
MIT MIF
Capped
marginal cost
of CARD
MIT
MSC
MIF
Marginal cost functions
18
Scenario 1 Scenario 2 Acquiring
margin
(%)
ATV
Card
(EUR)Calculation for
debit cards
a*
(EUR)
b*
(%)
a*
(EUR)
b*
(%)
Cash 0.08 0.13% 0.09 0.20%
0.06% 42
Debit 0.09 0.01% 0.10 0.01%
Calculation for
credit cards
Cash 0.08 0.17% 0.08 0.24%
0.06% 51
Credit 0.09 0.01% 0.10 0.01%
* without acquiring margin
Results
• MCcash – MCcard (without acquiring margin) = MIT MSC
• MIT MIF = MIT MSC – acquiring margin
19
- 0.06%
DEBIT CREDIT
Scenario1 0.09% 0.13%
Scenario2 0.17% 0.21%
DEBIT CREDIT
0.02% 0.07%
0.11% 0.15%
MIT MSC - = MIT MIF
Acquiring
margin
Further information: Distribution of MIT MSC by
merchant card turnover
20
0
10
20
30
40
50
60
Distribution of debit MIT MSC
Debit card turnover
(Billion EUR)
Further information: Distribution of MIT MSC by
merchant card turnover
21
0
5
10
15
20
25
30
-5.00% -1.00% -0.50% -0.30% -0.20% -0.10% 0.00% 0.10% 0.20% 0.30% 0.50% 1.00% 5.00% 10.00%
Distribution of credit MIT MSC
Credit card turnover (Billion
EUR)
Further information: Cost structure
(scenario 2)
22
Limitations
Results only for the sample:
• Limited number of large merchants
• 10 countries
• Only face-to-face transactions
Acquiring margin approximated
23
Further analysis
• Assessment of the possibility to use econometric methods
to pin down the variable costs of different means of
payments
• Assessment of possibility to extend results to non-surveyed
merchant categories to increase representativeness (using
statistical inference)
• Further analysis of relationship between MIF and merchant
size and sector
• Further work on estimating acquiring margin
•
24
QUESTIONS?
25

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Survey on Merchants' Costs of Processing Cash and Card Payments in EU

  • 1. Survey on Merchants' Costs of Processing Cash and Card Payments Preliminary Results 19 February 2014
  • 2. Background • Visa and MasterCard MIF cases • MIFs are a restriction of competition • 'Merchant Indifference Test' MIF benchmark: • Merchants should not pay higher charges than the value of transactional benefits that card use generates for them • The MIF that meets the test is set at such a level that the merchant is at least indifferent as to whether the customer pays by card or in cash • MIF income can then be used to stimulate uptake of cards on the issuing side 2
  • 3. Study history Study on "Costs and benefits to merchants of accepting different payment methods" (COMP/2008/D1/020): December 2008 – September 2010 • Methodology + pilot internet survey in 3 countries • Very low response rate, incomplete and unreliable responses • Unsatisfactory methodological recommendations, need for further testing Testing phase: January – June 2011 • In-depth interviews with 7 Dutch and British retailers • Conclusion: workable questionnaire, but need for in-depth survey Stakeholder consultation: October – December 2011 Revision of methodology: two-part approach 3
  • 4. Methodology: two-part approach 1st part: survey of large merchants to collect detailed and precise data on costs and estimate cost functions • Target: 500 merchants (turnover>€50/20 million) in 10 countries (AT, BE, DE, ES, FR, IT, NL, PL, SE, UK) 2nd part: survey of representative sample of merchants to collect data on value and volume of payments and try to extrapolate cost function to smaller merchants • Target: 2000 merchants in same 10 countries, stratified according to the 8 Eurostat size categories • Both surveys contracted to Deloitte Consulting at the end of 2012 • Both delivered lower number of responses than the target • Commission's analysis ongoing, only cost survey discussed today 4
  • 5. Conclusions already possible? • No; preliminary nature and limited applicability of information presented today • Further analysis required before the final report • Application: assessment in competition cases • For now, preliminary results do not form a reason to question the 0.20% and 0.30% caps applied by the schemes 5
  • 6. Data collection – cost survey In-depth survey to collect data on: • Number and value of F2F transactions with cash, domestic debit cards, int'l four- party debit cards, int'l four-party credit cards (data on at-distance transactions and other payment means also collected) • Cost level • Cost nature (fixed vs variable costs) Relevant costs: • Payment processing at the till (time measurements) • Back-office labour (annual hours per task, hourly wage) • Outsourced back-office activities (typically cash-related) • MSC per card type (total amount and structure) • Payment processing equipment • PCI-DSS • Fraud and losses • Surcharges and rebates (negative cost) • Float (lost interest) 6
  • 7. Coverage 7 249 billion EUR card value 414 billion EUR retail turnover Coverage of the sample Country Number of observations Coverage in terms of value of card transactions (ECB data) Coverage in terms of retail trade (Eurostat data) Austria 15 5.6% 7.1% Belgium 27 6.6% 5.8% France 33 14.2% 17.1% Germany 24 8.6% 8.0% Italy 18 9.7% 6.6% Netherlands 16 4.4% 4.9% Poland 24 22.0% 16.9% Spain 18 9.0% 5.8% Sweden 50 9.5% 14.6% UK 28 19.7% 37.0% Grand Total 253 13.8% 14.7% Total EU 12.2% 13.1%
  • 10. Distribution of payment instruments 10
  • 11. Distribution of payment instruments 11 ATVs: CASH 15 EUR DEBIT 42 EUR CREDIT 51 EUR OTHER 41 EUR
  • 12. MIF calculation methodology Linear cost functions: TCj = Fj + aj*Nj + bj*Vj where Fj - fixed costs of payment instrument j, aj – cost incurred each time a transaction with j takes place, Nj – number of transactions with j, bj – cost incurred per unit of turnover with j, Vj – value of transactions with j MIT MIF – based on marginal cost of cash and cards (net of current MIF) MCj = AVCj = aj + bj* ATVj • MIT MIF = (acash – acard )/ATVcard + (bcash – bcard) • (%) (€) (€) (%) 12
  • 13. MIT MIF Marginal cost of CASH Marginal cost of CARD Acquiring margin MIFMSC Other costs of cards Other costs of cards Acquiring margin MIT MIF Capped marginal cost of CARD MIT MSC MIF
  • 14. MIF calculation methodology • Identification of cost nature (fixed, variable by number, variable by value) – based on individual responses • 2 scenarios for identifying cost nature considered: • Scenario 1: change triggered by one additional transaction • Scenario 2: a 10% decrease in number of cash transactions over 3-4 years, replaced by card transactions • Cost functions computed at merchant level, aggregated based on merchants' relative number and value of card transactions • Average acquiring margin – estimated using survey data on MSCs and public MIF rates • MIT MIF computed reflects the cost savings (relative to cash) of an average card transaction in our sample 14
  • 15. Aggregation of merchant costs • Calculation of average variable cost per transaction for payment instrument j in scenario s for the purpose of calculating MIT MIF • 𝑎𝑗𝑠 = 𝑤𝑖 ∗ 𝑎𝑖𝑗𝑠 253 𝑖=1 , where 𝑤𝑖 = 𝑁 𝑖,𝑐𝑎𝑟𝑑 𝑁 𝑖,𝑐𝑎𝑟𝑑 253 𝑖=1 • Calculation of average variable cost per value for payment instrument j in scenario s for the purpose of calculating MIT MIF 𝑏𝑗𝑠 = 𝑘𝑖 ∗ 𝑏𝑖𝑗𝑠 253 𝑖=1 , where 𝑘𝑖 = 𝑉 𝑖,𝑐𝑎𝑟𝑑 𝑉 𝑖,𝑐𝑎𝑟𝑑 253 𝑖=1 15
  • 16. Marginal cost functions Debit cards (scenario 2): Cash: 0.09 EUR + 0.20% * transaction value acash bcash Debit cards (without acquiring margin or MIF): 0.10 EUR + 0.01% * transaction value a* card b* card 16
  • 17. MIT MIF Marginal cost of CASH Marginal cost of CARD Acquiring margin MIFMSC Other costs of cards Other costs of cards Acquiring margin MIT MIF Capped marginal cost of CARD MIT MSC MIF
  • 18. Marginal cost functions 18 Scenario 1 Scenario 2 Acquiring margin (%) ATV Card (EUR)Calculation for debit cards a* (EUR) b* (%) a* (EUR) b* (%) Cash 0.08 0.13% 0.09 0.20% 0.06% 42 Debit 0.09 0.01% 0.10 0.01% Calculation for credit cards Cash 0.08 0.17% 0.08 0.24% 0.06% 51 Credit 0.09 0.01% 0.10 0.01% * without acquiring margin
  • 19. Results • MCcash – MCcard (without acquiring margin) = MIT MSC • MIT MIF = MIT MSC – acquiring margin 19 - 0.06% DEBIT CREDIT Scenario1 0.09% 0.13% Scenario2 0.17% 0.21% DEBIT CREDIT 0.02% 0.07% 0.11% 0.15% MIT MSC - = MIT MIF Acquiring margin
  • 20. Further information: Distribution of MIT MSC by merchant card turnover 20 0 10 20 30 40 50 60 Distribution of debit MIT MSC Debit card turnover (Billion EUR)
  • 21. Further information: Distribution of MIT MSC by merchant card turnover 21 0 5 10 15 20 25 30 -5.00% -1.00% -0.50% -0.30% -0.20% -0.10% 0.00% 0.10% 0.20% 0.30% 0.50% 1.00% 5.00% 10.00% Distribution of credit MIT MSC Credit card turnover (Billion EUR)
  • 22. Further information: Cost structure (scenario 2) 22
  • 23. Limitations Results only for the sample: • Limited number of large merchants • 10 countries • Only face-to-face transactions Acquiring margin approximated 23
  • 24. Further analysis • Assessment of the possibility to use econometric methods to pin down the variable costs of different means of payments • Assessment of possibility to extend results to non-surveyed merchant categories to increase representativeness (using statistical inference) • Further analysis of relationship between MIF and merchant size and sector • Further work on estimating acquiring margin • 24