Title: Quantitative analysis in M
1Quantitative analysis in MAs evaluation
- Ha Long, Vietnam 1314 August 2005
- Dr. Patrick Krauskopf, Vice-Director,
- Fanny Raess,
- Swiss Competition Commission
2Structure of Presentation
- Introduction
- Role of quantitative techniques
- Frequently used quantitative analysis tools
- Price correlation analysis
- Own-price and Cross-price elasticity analysis
- SSNIP Test
- HHI
- Analysis of the modification of the competition
structure - 4. Conclusion
31. Introduction
- Objectives of the presentation
- Preliminary comment Description of the
pre-merger situation to analyse the behavior of
the competitors - Perfect competition
- Monopolistic/Oligopolistic competition
- Contestable markets
- Dominance assessment (single vs collective)
42. Role of quantitative analysis
- Quantitative analyses can (and should) provide
important evidence in an merger evaluation - Quantitative evidence should be viewed as
complementary to the qualitative evidence
53. Frequently-used quantitative analysis tools
- Using quantitative approach to
- Define the relevant market
- Evaluate the merger impact
- The choice of technique will depend on
- the specific circumstances of the case
- the availability of data
- It is possible that more than one technique could
be usefully applied to any particular case
6a) Price Correlation - definition
- Standard tool in evaluating product market
definition - Prices of products in the same market are
expected to move together over time - Basis of the approach
- Examine whether price levels move together
- Quantify the extent to which price levels move
together over time. This is measured by the
correlation coefficient - The correlation coefficient can vary between 1
and 1 - correlation of 1 gt prices moving perfectly
together - correlation of -1 gt prices moving perfecty
inversely to one another - correlation of 0 gt no statistical association
between the two series
7 a) Price Correlation - Example
- Are still water, sparkling water and soft drinks
in the same relevant product market? - The price correlation analysis showed that
- Panel A Correlation between prices of water
brands and soft drinks is weak - Panel B Correlation between prices of still and
sparkling water brands is high - gt the market should include still and sparkling
waters but should exclude soft drinks. -
Illustration (source Lexecon) Panel A Low
correlation coefficient (lt 0.3) Panel B High
correlation coefficient (gt 0.9)
8b) Own and cross-price elasticities (e) -
definitions
- Standard tools in evaluating product market
definition - The own-price elasticity measures the percentage
change in quantity (Q) of good X for each
percentage change in the price (P) of good X - If e is high gt P increase is not likely to be
profitable (ex Pepsi) - If e is low gt P increase is likely to be
profitable (ex Petrol) - The cross-price elasticity measures the
percentage change in quantity (Q) of good X for
each percentage change in the price (P) of good Y
9b) Own and cross-price elasticities example (1)
- Market Petrol
- Companies Shell, Agip, Esso, BP, Totalfina
- If Pshell increases gt Qshell decreases and
Qotherbrands increases gt eShell is high - If Pmarket increases gt Qmarket is only sligthly
decreased gt e market is low
10b) Own and cross-price elasticities example (2)
- Pepsi - Coca-Cola
- If Ppepsi increases gt consumers will switch
to Coca-Cola gt Q Coca-cola will increase - gt Pepsi and Coca-Cola are substitutes (e qp gt
o) - Wine - Water
- If P Wine increases gt consumer will not
change their water consumption gt Q water will
stay constant - gt Wine and Water are not substitutes (e qp o)
11c) SSNIP Test (small but significant
non-transitory increase in price) - definition
- Standard tool in evaluating product market
definition - It is a hypothetical monopolist test
- Tests whether a good or a set of goods define a
relevant product market - The question is what type of constraints does
the presence of other goods place on the producer
of the good in question, when he decides to
increase his price by 5-10?
12c) SSNIP Test - example
- 3 goods Apple (A), Pear (P) and Banana (B)
- Are they part of the same relevant product
market? - If all the producers of A can profitably
introduce a small but significant and
non-transitory increase in price, despite the
existence of P and B gt the relevant market is
made of A only - However, if consumers, on reaction to this
increase of price of A, significantly shift to P
gt P are added to the relevant market, as the
producers of A have no market power (unprofitable
price increase) - Same process with A and P together, until a
profitable price increase is found
13d) HHI - Herfindahl-Hirschman index defintion
(1)
- Measure of market concentration
- HHI Sum of the squares of the market shares
- The closer the market structure is to a monopoly,
the higher the market concentration (and the
lower the assumed degree of competition) - In many juridictions, HHI is not considered as
direct evidence, but as an indicator for further
analysis
14d) HHI as a screening device (EU)
- HHI lt 1000 gt Unlike to challenge
- 1000 lt HHI lt 1800 and ?HHI lt 100 gt Unlike to
challenge - 1000 lt HHI lt 1800 and ?HHI gt 100 gt Likely to
challenge gt Further analysis needed - HHI gt 1800 and ?HHI lt 50 gt Unlike to challenge
- HHI gt 1800 and lt 50 ?HHI lt 100 gt Likely to
challenge gt Further analysis needed - HHI gt 1800 and ?HHI gt 100 gt Likely to
challenge
15d) HHI - Example
- Pre-merger 5 firms
- A 30, B 25, C 25, D 10, E 10
- The HHI is 302 252 252 102 102 2350
- If B mergers with D, 4 firms
- A 30, B/D 35, C 25 , E 10
- The HHI is 352 302 252 102 2850
- ? HHI is 2850-2350 500
- Interpretation
- HHI gt 1800 and ?HHI gt 100 gt Likely to challenge
16e) Analysis of the modification of the
competition structure
- Based on the market shares, is the merger likely
to induce a structural change in the market
structure? - Examples
- Perfect ? Oligopolistic competition?
- Increased probability of collective dominance or
cartellization?
174. Conclusion
- Empirical economic analysis lies at the heart of
modern competition policy - Econometric analyses does not come from out of
the blue - Potential weakness of the tools lack of data,
asymmetry of data (firm/authority) - Role of economists is complementary to the role
of lawyers