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The Effectiveness of Competition Policy

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To Paraphrase Shakespeare (and John Kwoka) ... In 2003, Cliff Winston and I offered the following thought: ... However, to quote Fred Jenny (28/03/08, Ankara) ... – PowerPoint PPT presentation

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Title: The Effectiveness of Competition Policy


1
The Effectiveness of Competition Policy
  • Robert W. Crandall
  • The Brookings Institution
  • Lear Conference
  • Rome, Italy
  • 25-26 June, 2009

2
To Paraphrase Shakespeare (and John Kwoka)
  • I come not to praise competition policy, nor to
    attack it but to analyze it
  • In 2003, Cliff Winston and I offered the
    following thought
  • we envision that economists may identify
    cases where antitrust policy has improved
    consumer welfare.
  • However, to quote Fred Jenny (28/03/08, Ankara)
  • The economic literature contains little
    systematic analysis of overall effects of
    competition law enforcement.

3
Buccirossi, et. al. ,Competition Policy and
Productivity Growth An Empirical Assessment
Addresses Jennys Lament
  • Impressive piece of work that deserves careful
    reading
  • Nevertheless, I have serious reservations about
    some aspects of the paper, including
  • The choice of the dependent variable
  • The specification of the basic regression
    equation estimated with pooled cross-section,
    annual time series data
  • The assumption that EU countries competition
    policy have effects only in their own countries
  • The measurement of RD
  • The lack of a variable to capture cyclical
    influences
  • The limited breadth of the industries in which
    competition policy has a significant effect
  • The lack of any significant effects of
    competition policy in service industries

4
Empirical Method
  • Authors use pooled cross-section, time-series
    regressions with fixed effects on annual
    industry-level data.
  • TFP growth in year t is related to measures of
    Human Capital, RD Intensity, Import Penetration,
    the Technology Gap, Product-Market Regulation,
    and the Competition Policy Indexes (CPIs) in year
    t-1(with the exception of the Product
    Market Regulation variable).
  • But year-to-year TFP growth is quite volatile and
    is heavily affected by the business cycle, yet
    there is no industry-specific cyclical variable
    in the equation(s).
  • Because of this cyclical volatility, most
    analyses of TFP growth look at longer-term
    trends, not year-to-year variations.

5
The Choice of Dependent Variable Why TFP?
  • The effect of competition policy should be
    registered in increases in output in
    non-competitive industries reductions elsewhere
  • The authors settle on TFP (total factor
    productivity), suggesting that competition policy
    increases innovation and productive efficiency.
  • However, competition policy could have major
    effects on allocative efficiency without having
    much effect on TFP.
  • If competition policy has a beneficial effect in
    certain industries, that effect should be
    reflected in higher output growth. Why not see if
    the Competition Policy Indexes (CPIs) affect
    output growth in these industries?
  • Alternatively, the authors could examine the
    effect of the CPIs on economic growth in the
    spirit of Dutz and Hayri (1999).

6
Cross-Country Evidence on Trends in TFP
  • The current study focuses on 1995-2004 and uses
    data from the nine EU countries, the United
    States, Canada and Japan
  • van Ark, et.al. (2008), using much of the same
    data as in the current study, have shown that
    between 1980-95 and 1995-2004
  • TFP in the European Union declined dramatically
    from 0.9 per year to just 0.3 per year
  • But TFP in the United States nearly trebled from
    0.5 per year to 1.4 per year.
  • Labor productivity growth in market services rose
    from 1.5 to 3.2 per year in the U.S., but fell
    from 1.6 to 0.9 per year in the EU and 0.9 per
    year in the EU
  • Market services were responsible for 60 of the
    growth in U.S. labor productivity over this
    period

7
The Competition Policy Variables
  • Extremely detailed attempt to capture the
    differences in the policy environment across
    countries
  • Too complicated to discuss in detail here, but I
    note that the Institutional and Enforcement
    Indexes reflect the underlying policy structure,
    not its execution
  • For instance, the average attendee at this
    conference would be surprised to find that the
    Competition Policy Index (CPI) for the U.S. fell
    slightly during the second Clinton term, but rose
    somewhat during the first (George W.) Bush term!
  • The CPIs tell us nothing about the intensity of
    antitrust enforcement nor whether it is
    effectively targeted on anti-competitive
    practices

8
Competition Policy Indexes North America and
Japan
9
Competition Policy Indexes -- Large EU Countries
10
Competition Policy Indexes -- Small EU Countries
11
Major Changes in CPIs Drive the Empirical Results
  • I show the charts for the aggregate CPIs because
    it appears that changes in the CPIs in a few
    countries drive the empirical results, given the
    inclusion of country-industry dummy variables.
  • With one exception the United Kingdom beginning
    in 1999 the largest changes occur in small EU
    countries.
  • Note large increases in
  • Czech Republic, beginning in 1995
  • Hungary, beginning in 1999
  • Netherlands, beginning in 2000
  • More modest increases in Spain and France circa
    2000
  • Note that increases in EU countries CPIs occurs
    at a time when EU is falling behind U.S. in TFP
    growth.

12
Further Problems with the Model
  • Effects of CPIs are limited to industries in the
    Competition Authorities own countries despite
    the fact that 9 of the 12 countries are in the
    EU. The effects of competition policy in each EU
    country surely extend to the entire EU, or at
    least to a large subset of EU countries.
  • Moreover, it is very difficult to believe that
    any change in the CPI would affect TFP with just
    a one-year lag
  • RD variable is measured by annual RD spending
    divided by value added in the given industry
    rather than the stock of RD capital.
  • Nevertheless, the RD variable is statistically
    significant when used, probably because it is
    picking up cyclical influences on TFP growth, but
    it is then dropped from all subsequent equations.
    Why?
  • No overall goodness-of-fit statistics reported.
    What share of variance in TFP is explained by the
    model?

13
Significant Effects of CPIs Are Confined to a Few
Industries, Reflecting a Very Small Share of GDP
  • Industries with significant coefficients (share
    of 2007 U.S. GDP)
  • Agriculture, forestry, and fishing (1.2)
  • Food processing -- (1.3)
  • Paper, printing, and publishing -- (0.7)
  • Petroleum and coal products -- (0.5)
  • Rubber products -- (0.5)
  • Non-metallic mineral products -- (0.4)
  • Machinery --
    (0.9)
  • Furniture --
    (0.3)
  • Total with significant effects 5.8
  • Industries with insignificant coefficients
  • Professional and Business Services (12.2)
    Finance (7.9) Construction (4.4)
  • Transport and Storage (2.9) Communications
    (3.2) Hotels and Restaurants (2.7)
  • Electricity, Gas Water (2.0)
  • Omitted

14
Any Corroborating Evidence in these Industries of
Increasing Competition?
  • Food processing?
  • Paper and printing?
  • Petroleum refining?
  • Nonmetallic minerals (cement, etc.)?
  • Machinery?
  • Rubber products (tires)?
  • Furniture?
  • If Competition Policy is effective in these
    industries, there should be some other evidence
    of entry, reductions in dominant positions,
    successful attacks on price-fixing conspiracies,
    etc.

15
In These Industries, U.S. TFP Growth Exhibits
Enormous Volatility, Even Over 5-Year
Periods(Average Annual Growth)
16
An Alternative Test The Effects of Competition
Policy on Overall Economic Growth
  • As I mentioned earlier, the authors could test
    the effect of the CPIs on economic growth in the
    spirit of Dutz and Hayri (1999).
  • GDP growth in the EU has consistently lagged
    behind the U.S. by about 25 percent since the mid
    1980s in large part because of less investment in
    ICT.
  • Since 1999, the average CPI in the nine EU
    countries in the sample has risen relative to the
    CPI for the U.S.
  • Although there is no evidence that EU growth has
    accelerated relative to U.S. growth since 1999,
    is it possible that after taking into account
    the other (exogenous) determinants of growth
    the increase in the EU CPIs has favorably
    affected EU growth?

17
Concluding Observations
  • Buccirossi, et. al. , have given us a provocative
    paper that concludes that Competition Policy, as
    they measure it, has virtually immediate effects
    on productive efficiency.
  • These effects apparently occur in a few EU
    countries and across only a few manufacturing
    industries, not in service industries.
  • These results contrast with, but do not
    necessarily contradict, another analysis of the
    same data (van Ark, et. al. 2008) which finds
    that the EU lagged badly behind the U.S. in TFP
    growth in the same 1995-2004 period
  • The results of this study might change
    substantially if the RD variable were properly
    constructed and used in the all of the relevant
    regression equations and if cyclical variables
    were included in the regressions
  • Such changes might induce the authors to
    investigate the effects of more plausible lags in
    the effect of their CPIs on TFP, labor
    productivity, or economic growth
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