does within-tenure experience make you tougher? evidence from competition law. ludivine garside,...
TRANSCRIPT
Does within-tenure experience make you tougher? Evidence from competition law.
Ludivine Garside, Paul Grout & Anna Zalewska
Public Organisation Conference 12th June 2008
Centre for Market and Public Organisation
2
• Motivation
• Data
• Results
3
Motivation
• There are many situations where attitudes, perceptions, skills, etc., are responsive to past experience and changing social and workplace environments.
• May be tempered or fostered by market forces.
• Where market forces, or their analogues, are more muted then ‘within-tenure’ experience could potentially have far greater and varied impact (life-tenure of judges). Public officials have weak external competitive forces
• Judicial discretion v rules
4
• Literature on judgements in legal and investigative arenas (De Paulo and Pfeifer (1986) Meissner and Kassin (2002), Kassin and Tong (1999) and Porter, Woodworth and Birt (2000)).
Conclusions:• Experience and training do not improve the ability to
make the right judgement. • Experience has a significant impact on the confidence
that the subject has in his/her personal judgement• Experience increases the likelihood of the subject
responding deceit as opposed to truth in experiments.
5
What and why?
• This study looks if there are within-tenure experience effects on the ‘judges’ and ‘investigators’:
– direct economic relevance – based on real world legal cases rather than
experiments– use economic factors to deal with the
heterogeneity of cases - these economic factors give an additional ‘test’
6
• Public interest test (not defined - large element of discretion – problem of quality of decision –claim not matter ).
• Panel both conducted the investigation and made the judgement
• Track the decisions and experience of individual subjects - separate out cohort effects, individual effects, and age from within-tenure experience - identify off individual change in experience.
• Unambiguous decision• Legal process was virtually identical throughout
the period• Chairperson of the investigative panel was
extremely influential in the process
Unique data set
7
• Davies et al. (1998, 1999)
• Ashenfelter et al (1995)
• Besley and Ghatak (2005)
• Prendergast (2007)
• Econ/Gender literature
8
Choice of chairman of investigating panel:
• Chairman of investigation chosen almost exclusively from Commission Chair or Deputy Chairs
• Conflict of interest
• Balanced load
• Exception would be if a fundamental case arises
• Experience and complex cases
9
Data
• Investigations for “possible abuse of a monopoly situation”, published between 1970 - 2003
• Investigation level:
– 431 company observations,
– 85 cases
– 122 company observations with profitability, (1970-1996)
10
market share of investigated firm
0.63% 2.25% 3.74% 5.91%9.68%
14.52%20.85%
29.04%
40.98%
74.21%
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
1 2 3 4 5 6 7 8 9 10
11
profitability
-15.56%
9.03% 15.31% 17.63% 20.92% 27.16% 33.89%46.54%
62.43%
158.72%
-0.5
0
0.5
1
1.5
2
12
chair max experience
0.3
6.0 7.49.9 11.2
15.017.6
21.827.3
46.8
0.0
10.0
20.0
30.0
40.0
50.0
1 2 3 4 5 6 7 8 9 10
13
Variable Mean
Chair experience 14.7 0 54Gender ratio 13.8% 0% 50%Market share of investigated firm 20.2% 0.1% 100%Climate 2.4 0 6Profitability 37.6% -94.4% 368.7%ONS C3 / 3 (within dataset) 15.2% 2.8% 32.1%ONS C3 / 3 (all UK industry) 12.6% 0.65% 33.33%
Range
14
Firm level Case level
Least experienced 0.55 0.51
Second least experienced 0.45 0.69
Second most experienced 0.71 0.74
Most experienced 0.78 0.78
Least experienced 0.47 0.59
Mid experienced 0.62 0.68
Most experienced 0.78 0.80
15
Approach
• Probit
• Independent cases
• Firm-level observations cannot be treated as independent – need to account for intra-cluster correlation (at case level and at chairman level)
16
Pseudo R2 0.186 0.244 0.1866 0.248 0.189 0.209 0.184 0.189
Constant -0.586(0.502)
-0.492(0.563)
-0.591(0.510)
-1.475***(0.544)
-0.508(0.510)
0.074(0.644)
-0.381(0.462)
-0.929(0.579)
Chair experience 3.179**(1.326)
3.309*(0.010)
3.114**(1.374)
3.186**(1.305)
3.431**(1.623)
2.869**(1.231)
Gender ratio 3.330 **(1.543)
3.582**(1.638)
3.311**(1.591)
3.252**(1.522)
3.468**(1.632)
2.796*(1.649)
3.345**(1.533)
3.267**(1.543)
Market share 0.820*(0.446)
0.996**(0.497)
0.838*(0.486)
1.230***(0.470)
0.799*(0.462)
0.773*(0.455)
0.753*(0.451)
0.840*(0.443)
Climate -1.204(0.998)
-1.847*(0.945)
-1.226(0.985)
-1.820**(0.904)
-1.432(1.013)
-1.016(1.006)
-1.162(0.993)
-1.223(1.000)
Two anti-competitive conducts
0.956***(0.355)
0.996**(0.441)
0.958***(0.341)
0.969***(0.339)
0.936**(0.370)
1.036***(0.344)
1.000***(0.358)
0.926***(0.355)
Repeated investigation -0.700*(0.425)
-0.732(0.127)
-0.703*(0.427)
-0.678*(0.412)
-0.687(0.427)
-0.692*(0.419)
-0.717*(0.425)
-0.714*(0.426)
Concentration ratio(3 firms)
-1.554(0.196)
Minimum efficient size 0.006(0.100)
Market share volatility 0.189(0.189)
Dummy 1990 0.031(0.393)
Dummy 1980 1.151***(0.362)
Dummy Labour -0.181(0.481)
Wogrex -6.285(4.259)
(Chair experience)2 9.120**(4.125)
(Chair experience)1/2 2.277***(0.874)
Full company data set
17
Pseudo R2 0.247 0.302 0.302 0.245 0.249
Constant -0.419 (0.719) -0.394 (0.734) -1.7551**(0.788)
-0.172 (0.7016) -0.828 (0.770)
Chair experience 3.806***(1.424)
3.822***
(1.421)
4.730***
(1.394)
Gender ratio 3.987***(1.418)
4.007***
(1.466)
3.726***
(1.393)
4.014***(1.424)
3.898***(1.417)
Market share of investigated firm 1.126**(0.508)
1.113**
(0.520)
1.428***
(0.526)
1.090**(0.511)
1.125**(0.509)
Climate -1.900**(-0.870)
-1.888**
(0.918)
-2.179***
(0.789)
-1.883**(0.877)
-1.920**(0.868)
Two anti-competitive conducts 1.586***(0.498)
1.594***
(0.525)
1.278**
(0.506)
1.650***(0.497)
1.552***(0.501)
Repeated investigation -0.751* (0.437) -0.755* (0.448) -0.580 (0.412) -0.780* (0.436) -0.757* (0.435)
Monopoly pricing -0.543 (0.514) -0.548 (0.521) -0.420 (0.502) -0.565 (0.521) -0.517 (0.514)
Discriminatory pricing -0.796 (0.699) -0.809 (0.643) -0.431 (0.643) -0.787 (0.703) -0.825 (0.697)
Collusive pricing -0.266 (0.650) -0.294 (0.709) 0.365 (0.643) -0.330 (0.647) -0.258 (0.648)
Predatory pricing 1.015 (0.120) 1.012 (0.649) 1.065 (0.672) 1.074 (0.663) 0.981 (0.643)
Vertical integration 0.198 (0.631) 0.1775 (0.668) 0.328 (0.602) 0.205 (0.635) 0.165 (0.624)
Tie in sales -0.082 (0.725) -0.093 (0.728) -0.052 (0.723) -0.087 (0.720) -0.101 (0.725)
Exclusive purchasing -0.570 (0.709) -0.582 (0.709) -0.165 (0.617) -0.563 (0.718) -0.582 (0.704)
Resale price maintenance -0.693 (0.594) -0.696 (0.584) -0.708 (0.553) -0.634 (0.593) -0.717 (0.597)
Dummy 1990 -0.031(0.437)
Dummy 1980 1.255***
(0.363)
(Chair experience)2 10.593**(4.302)
(Chair experience)1/2 2.759***(0.978)
18
Pseudo R2 0.242 0.249 0.243 0.277 0.280 0.281
Constant -1.727**(0.717)
-.1956**(0.776)
-1.730**(0.719)
-1.423(0.893)
-1.646*(0.976)
-1.286(0.914)
Chair experience 5.377**(2.234)
5.666**(2.238)
5.448**(2.275)
5.317**(2.523)
5.627**(2.570)
5.258**(2.558)
Gender ratio 3.996**(1.625)
4.027**(1.646)
4.063**(1.655)
3.981**(1.757)
3.961**(1.767)
4.173**(1.778)
Market share of the biggest investigated firm
2.421***(0.864)
2.436***(0.863)
2.405***(0.869)
3.066***(1.044)
3.059***(1.040)
3.000***(1.055)
Climate -0.705(0.977)
-0.875(1.008)
-0.600(1.090)
-0.920(1.068)
-1.019(1.086)
-0.563(1.196)
Two anti-competitive conducts
1.582***(0.532)
1.591***(0.542)
1.574***(0.531)
2.279***(0.718)
2.217***(0.719)
2.350***(0.734)
Repeated investigation -0.500(0.413)
-0.548(0.421)
-0.482(0.420)
-0.625(0.443)
-0.638(0.444)
-0.617(0.443)
Dummy 1980 0.326(0.398)
0.257(0.424)
Dummy 1990 -0.083(0.386)
-0.295(0.443)
Monopoly pricing -0.809(0.555)
-0.787(0.559)
-0.851(0.561)
Discriminatory pricing -0.940(0.621)
-0.859(0.640)
-1.054(0.643)
Collusive pricing -0.309(0.641)
-0.220(0.665)
-0.517(0.716)
Vertical integration -0.726(0.641)
-0.722(0.643)
-0.871(0.676)
Tie in sales -0.596(0.637)
-0.591(0.632)
-.734(0.676)
Exclusive purchasing -0.560(0.580)
0.257(0.424)
-0.632(0.595)
Case data set
19
dy/dx mean
Chair experience 1.162 0.147
Gender ratio 1.217 0.138
Market share 0.300 0.202
Climate -0.440 0.236
Two anti-competitive conducts 0.333 0.455
Repeated investigation -0.262 0.339
Predicted value = 0.66
20
Pseudo R2 0.187 0.166 0.253 0.236
Constant -0.220(1.789)
-0.389(1.737)
-3.211(2.279)
-3.240(2.260)
Chair experience 3.284**(1.473)
3.519**(1.567)
Gender ratio 3.267**(1.545)
3.171**(1.506)
4.508***(1.422)
4.308***(1.468)
Market share of investigated firm 0.828*(0.446)
0.792*(0..464)
1.096**(0.513)
1.133**(0.522)
Climate -1.212(1.002)
-1.253(0.997)
-1.910**(0.853)
-1.994**(0.889)
Two anti-competitive conducts 0.939**(0.372)
1.016***(0.375)
0.904(0.564)
0.928*(0.556)
Repeated investigation -0.712*(0.422)
-0.833**(0.422)
-0.710*(0.432)
-0.858**(0.428)
Age -0.006(0.028)
0.005(0.025)
0.0329(0.0382)
0.041(0.037)
Monopoly pricing 0.210(0.717)
0.344(0.734)
Discriminatory pricing 0.793(0.666)
0.888(0.669)
Collusive pricing 0.344(0.716)
0.223(0.726)
Predatory pricing 1.977***(0.700)
2.229***(0.696)
Vertical integration 1.161*(0.699)
1.173(0.718)
Tie in sales 0.685(0.612)
0.701(0.642)
Exclusive purchasing 0.194(0.622)
0.121(0.674)
Resale price maintenance -0.136(0.654)
0.041(0.037)
21
Pseudo R2 0.197 0.286 0.325 0.286
Constant -0.556(0.501)
0.294(0.672)
-1.473**(0.738)
-0.375(0.729)
Chair experience 3.802***(1.434)
7.338***(2.151)
7.486***(2.148)
7.332***(2.154)
Gender ratio 3.591**(1.645)
5.135***(1.417)
4.774***(1.422)
5.096***(1.447)
Market share 0.855*(0.441)
0.951*(0.513)
1.252**(0.518)
0.991*(0.531)
Climate -1.314(1.006)
-1.982**(0.847)
-2.217***(0.772)
-2.028**(0.853)
Two anti-competitive conducts 1.018***(0.351)
1.729***(0.494)
1.459***(0.503)
1.708***(0.516)
Repeated investigation -0.615(0.409)
-0.572(0.413)
-0.450(0.398)
-0.556(0.416)
Legal background -0.360(0.310)
-1.018**(0.471)
-0.826*(0.473)
-1.033**(0.472)
Monopoly pricing insignificant insignificant
Discriminatory pricing insignificant insignificant
Collusive pricing insignificant insignificant
Predatory pricing insignificant insignificant
Vertical integration insignificant insignificant
Tie in sales insignificant insignificant
Exclusive purchasing insignificant insignificant
Resale price maintenance -1.761**(0.791)
-1.580**(0.733)
-1.767**(0.787)
Dummy 1980 1.075***(0.361)
Dummy 1990 0.101(0.422)
22
No of observations 431 431 431 85 81 no DK 81 no DK 381 no DK
Pseudo R2 0.189 0.211 0.327 0.175 0.243 0.286 0.290
Constant -0.042(0.429)
-0.501(0.528)
-0.587(0.658)
-0.727(0.478)
-1.746**0.717)
-1.505*(0.898)
-0.708(0.689)
Chair experience3.104**(1.425)
3.314***(1.214)
7.536***(2.029)
3.948**(1.570)
5.593**(2.265)
5.600**(2.575)
7.678***(2.068)
Gender ratio2.232*(1.343)
3.376**(1.357)
3.311*(1.699)
3.245*(1.835)
3.213**(1.488)
Market share0.491
(0.479)0.762
(0.481)0.975*(0.502)
1.674***(0.636)
2.466***(0.864)
3.158***(1.045)
1.060**(0.511)
Climate-1.374*(0.744)
-1.144(0.958)
-1.763**(0.761)
-0.959(0.830)
-0.746(0.982)
-0.943(1.072)
-1.854**(0.750)
Two anti-competitive conducts
0.655*(0.348)
0.875**(0.411)
1.337***(0.476)
1.196***(0.366)
1.603***(0.536)
2.332***(0.723)
1.358***(0.481)
Repeated investigation-0.622(0.391)
-0.717*(0.416)
-0.358(0.409)
-0.274(0.381)
-0.510(0.421)
-0.596(0.452)
-0.394(0.427)
Monopoly pricing Insignificant Insignificant Insignificant
Discriminatory pricing-0.821(0.617)
-1.138*0.653)
-0.722(0.665)
Collusive pricing Insignificant Insignificant Insignificant
Predatory pricing1.191**(0.536)
1.284**(0.564)
Vertical integration Insignificant Insignificant Insignificant
Tie in sales Insignificant Insignificant Insignificant
Exclusive purchasing Insignificant Insignificant Insignificant
Resale price maintenance
-1.253*(0.669)
-1.123(0.721)
Dummy D. Kingsmill2.013**(0.927)
1.434***(0.418)
2.036***(0.621)
Legal background-1.140***
(0.415)-1.126***
(0.421)
Gender
23
Pseudo R2 0.325 0.330 0.332 0.334 0.352 0.372
Constant -1.329**(0.601)
-1.417**(0.562)
-1.540***(0.567)
-1.405**(0.601)
-1.401**(0.604)
-1.367**(0.622)
Chair experience 3.079**(1.468)
3.358**(1.345)
2.647*(1.583)
3.651***(1.421)
4.453***(1.296)
4.860***(1.356)
Gender ratio 3.629*(1.862)
3.252*(1.823)
4.268**(1.881)
3.702**(1.884)
3.577*(1.866)
3.956**(1.807)
Market share 1.992***(0.742)
1.946***(0.753)
2.112***(0.741)
1.909**(0.758)
2.300***(0.825)
2.278***(0.851)
Climate -1.689(1.272)
-1.887(1.280)
-0.397(0.1.243)
-2.243*(1.337)
-2.852**(1.371)
-2.822**(1.400)
Two anti-competitive conducts 1.578***(0.375)
1.493***(0.419)
1.974***(0.544)
1.572***(0.388)
1.620***(0.357)
1.687***(0.367)
Repeated investigation -1.446**(0.574)
-1.520***(0.589)
-1.138*(0.662)
-1.295**(0.590)
-1.295**(0.589)
-1.323**(0.589)
Dummy 1980 0.320(0.380)
Dummy 1990 -1.005*(0.523)
ROCE 0.359*(0.217)
0.479**(0.230)
0.075(0.278)
Monopoly pricing -0.706**(0.349)
-1.251***(0.428)
ROCE x Monopoly pricing 1.146**(0.479)
24
Pseudo R2 0.211 0.277 R2 0.217 R2 0.397
Constant -0.507(0.517)
-0.685(0.750)
0.332**(0.165)
0.464*(0.263)
Chair experience 3.386**(1.543)
5.224**(2.105)
0.955**(0.427)
1.558**(0.638)
Gender ratio 3.406**(1.531)
4.088***(1.405)
1.035*(0.522)
0.823(0.562)
Market share 0.858*(0.472)
1.154**(0.502)
0.245*(0.145)
0.030(0.154)
Climate -1.444(0.908)
-2.099***(0.807)
-0.351(0.354)
-0.327(0.318)
Two anti-competitive conducts 1.001***(0.342)
1.301**(0.522)
0.275***(0.096)
0.259**(0.119)
Repeated investigation -0.672(0.416)
-0.557(0.434)
-0.237(0.149)
-0.290*(0.158)
Dummy J. Le Quesne -0.824(0.658)
-1.273**(0.648)
All chairmen dummies
Dummy A.Roskill -0.025(0.429)
-0.020(0.573)
Monopoly pricing insignificant
Discriminatory pricing insignificant
Collusive pricing insignificant
Predatory pricing insignificant
Vertical integration insignificant
Tie in sales insignificant
Exclusive purchasing insignificant
Resale price maintenance insignificant
Full data set
25
No of observations 85 85 431 431
Pseudo R2 0.242 0.277 0.186 0.247
Constant -1.727***
(0.717)-1.424**(0.647)
-0.586(0.539)
-0.419(0.730)
Chair experience5.377***(2.234)
5.317**(2.133)
3.179***(1.163)
3.806***(1.224)
Gender ratio3.996**(1.625)
3.981**(1.905)
3.330**(1.485)
3.987***(1.510)
Market share2.421***(0.864)
3.066***(0.800)
0.820*(0.464)
1.126**(0.508)
Climate-0.705(0.977)
-0.920(1.106)
-1.204(1.025)
-1.900**(0.925)
Two anti-competitive conducts1.582***(0.532)
2.279***(0.603)
0.956**(0.394)
1.586***(0.568)
Repeated investigation-0.500(0.413)
-0.625(0.496)
-0.700*(0.418)
-0.751(0.473)
Monopoly pricing-0.809*(0.468)
-0.543(0.464)
Discriminatory pricing-0.940(0.695)
-0.796(0.683)
Collusive pricing-0.309(0.563)
-0.266(0.636)
Predatory pricing1.015*(0.590)
Vertical integration-0.726*(0.426)
0.198(0.465)
Tie in sales-0.596(0.390)
-0.082(0.682)
Exclusive purchasing-0.559(0.494)
-0.570(0.726)
Resale price maintenance-0.693(0.524)
Clustered by chairman
26
No of observations 431 431 431 431
Pseudo R2 0.207 0.290 0.179 0.244
Constant -0.432(0.507)
-0.817(0.665)
0.147(0.398)
-0.209(0.697)
Chair experience 3.743***(1.326)
6.591***(1.939)
Gender ratio 3.097**(1.600)
3.674***(1.360)
2.858*(1.515)
3.116**(1.421)
Market share of investigated firm 0.707(0.450)
0.848(0.521)
0.708(0.467)
0.972*(0.520)
Climate -1.254(0.989)
-1.850**(0.787)
-1.272(0.964)
-1.900**(0.869)
Two anti-competitive conducts 1.076***(0.353)
1.147**(0.545)
1.104***(0.354)
0.913*(0.495)
Repeated investigation -0.788*(0.436)
-0.814**(0.402)
-0.944**(0.450)
-1.018**(0.409)
Monopoly pricing -0.084(0.658)
0.301(0.679)
Discriminatory pricing 0.605(0.628)
0.828(0.664)
Collusive pricing 0.179(0.635)
0.232(0.663)
Predatory pricing 1.622*(0.922)
1.934(0.805)
Vertical integration 0.991(0.634)
0.965(0.677)
Tie in sales 0.000(0.647)
0.336(0.625)
Exclusive purchasing 0.133(0.577)
0.385(0.589)
Resale price maintenance -0.824(0.681)
0.068(0.579)
CC chairman -0.536(0.377)
-1.154**(0.472)
-0.431(0.373)
-0.647*(0.360)
27
Conclusions
• Reject ‘sample selection’
• Small hint of career concerns
• Gender may also matter
• Within-tenure experience matters
• Implications for ‘precedent/rules’ v ‘reason’
• Beneficial or not?
28
Predicted Probabilities by case
0
0.2
0.4
0.6
0.8
1
1.2
0
0.0
7
0.1
4
0.2
1
0.2
8
0.3
5
0.4
2
0.4
9
0.5
6
0.6
3
0.7
0.7
7
0.8
4
0.9
1
0.9
8
experience
pre
dic
ted
pro
ba
s
Supermarkets, Cm 4842
Domestic Electrical WhiteGoods, Cm 3676
Primary Batteries, HC 1(1974/75)
Matches and DisposableLighters, Cm 1854
Roadside Advertising, HC365 (1980-81)