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mindmap
root((Screening for<br/>Bid Rigging with<br/>Frequent Losers))
**Institutional Setting**
BEC Platform
Sao Paulo state
2009-2019
4.5M tender-items
41K unique firms
Two modalities
Convite sealed bid
3-bidder minimum
Signal dilution 3.8%
Pregao e-auction
No bidder minimum
Voluntary 9.3%
Lei 14.133/2021
Eliminates convite
Testable predictions
**FL Definition**
Always-losers
win rate = 0%
16,843 firms
IQR threshold
median + 1.5 x IQR
threshold ~ 14 tenders
2,735 FL firms
Treatment: tender has >= 1 FL
**Conceptual Framework**
Two regimes
Regime 1 complementary
Regime 2 coordinated
BIC favors by 91,473
sigma_c/sigma_g = 0.72
Strategic complementarity
gamma = 0.69 > 0
More cover bidders in competitive markets
Market selection
FL concentrates in low HHI
**Detection Performance**
AUC = 0.94 vs CADE
Youden J = 0.84 at 1.45x
Horse-race
Correlation 0.06 with CV
FL rises to 0.084
CADE validation
3.5x overrepresentation
193/2,735 co-participate
3 convicted FL firms
**Price Association**
3.6-7.7% range
Cross-fit 3.6%
IPW 5.5%
OLS 6.4%
CEM 7.7%
Network split
Competitive 0.126
Concentrated -0.018
Bajari-Ye tests
KS D = 0.15
Pairwise product 4.28
Tender FE reversal
IV diagnostic
0.194 F=396
Lambda = 0.33
**Diagnostics M1-M5**
M1 No displacement
+0.19 non-FL firms
M2 Reference anchoring
-4.1% to ref price
M3 Reverse causality
Elasticity ~ 0.002
M4 Dyadic linkage
4,696 pairs p<0.001
M5 Exit hazard
HR = 0.60
**Robustness**
Threshold sensitivity
36 cells all significant
Cinelli-Hazlett
RV = 17.5%
Oster delta
Degenerate R2 gap ~ 0
DiD pre-trends
Non-causal framing
Oversight heterogeneity
12.5x gradient Q1 to Q4
**Enforcement Pathway**
Screen
Participation records only
SQL query or spreadsheet
Triage
Network metrics
PBU size quartile
Investigate
Bid-level forensics
On triaged subset