Collusion in public procurement auctions: evidence from Russia

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11640%2F23%3A00584716" target="_blank" >RIV/00216208:11640/23:00584716 - isvavai.cz</a>

Result on the web

<a href="https://www.cerge-ei.cz/pdf/master_theses/Master_Thesis_Polishchuk.pdf" target="_blank" >https://www.cerge-ei.cz/pdf/master_theses/Master_Thesis_Polishchuk.pdf</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Collusion in public procurement auctions: evidence from Russia

Original language description

This paper documents collusion between firms using micro-level data on 4.4 million firstprice sealed-bid procurement auctions conducted in Russia in 2011 − 2017. The data contains unique information on the timestamps of all bids and the bidding data itself. This study is one of the first to use bid timing to design a method for detecting collusion between firms based on a simultaneous bidding pattern: bidders place bids simultaneously or within a small time interval. The method performs well and identifies at least 7−25% of winner — runner-up bid pairs as collusive in validation subsamples: the pharmaceutical industry, known for its propensity to collusion in Russia, and three cartels formed by pharmaceutical firms. In the main data, the share of collusive winner — runner-up bid pairs varies between 8% and 23%. For a more general case that considers the pairs of each bidder with four other auction participants closest in the rank price, the share of collusive bid pairs is around 13%. In both cases, the share of collusive bid pairs is the highest in two-bidder auctions and gradually declines as the number of bidders increases. Collusive firms tend to place bids simultaneously more frequently when a few bidders participate in auctions, because of higher chances of manipulating auction outcomes. I also document that higher contract prices and smaller differences between winner and runner-up bids characterize bid pairs submitted simultaneously. Controlling for industry, public body, and region fixed effects, collusion increases final contract prices by 10.9% on average and makes simultaneous bids up to 50% closer to each other. Collusion affected contract prices totaling 1.49 billion U.S. dollars over 6.5 years. If I interpret these estimates as causal, eliminating collusion would have saved around 162 million U.S. dollars.

Czech name

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Czech description

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Type

O - Miscellaneous

CEP classification

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OECD FORD branch

50202 - Applied Economics, Econometrics

Project

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Continuities

S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů