Imperfect Competition and Sanitation: Evidence from Randomized Auctions in Senegal

Working Paper: NBER ID: w30514

Authors: Jean-François Houde; Terence R. Johnson; Molly Lipscomb; Laura A. Schechter

Abstract: We study the extent to which collusion can explain the under-provision of clean sanitation technologies in developing countries. Using desludging services in Dakar as a case-study, we document that prices are 66% higher in areas where prices are likely coordinated by a large trade association, compared to nearby neighborhoods supplied by unaffiliated companies. We then develop an experimental just-in-time auction platform with random variation in several design features aimed at learning about the extent of competition. Consistent with the collusion hypothesis, we find that most bidders systematically avoid competition by placing round bids and refusing to undercut rivals.

Keywords: collusion; sanitation; auctions; Dakar; developing countries

JEL Codes: L12; L41; O55


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
Collusion (D74)Higher Prices (D49)
Trade Association (AAAS) (L44)Higher Prices (D49)
Limited Access to Lower-Priced Suppliers (D49)Higher Prices (D49)
Collusion (D74)Avoidance of Competition (L49)
Bidders' Behavior (D44)Collusion (D74)

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