Indicators of Corruption in Public Procurement: The Example of Russian Regions

Андреевна, Бальсевич Анна; Podkolzina, Elena

doi:10.2139/ssrn.2530518

Cited by 5 publications

(1 citation statement)

References 31 publications

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“…Other papers studying bid leakage or other forms of corruption using Russian data do so on a local scale of specific market or during specific period of time Yakovlev et al (2016); Mironov and Zhuravskaya (2016); Balsevich and Podkolzina (2014). The empirical literature on auctions is rich (see, e.g., the seminal works Athey and Haile (2007) and Krasnokutskaya and Seim (2011)), yet there are only few studies that use supervised machine learning (classification) in auction corruption detection.…”

Section: Problem Setup and Identification Strategymentioning

confidence: 99%

Identifying Bid Leakage in Procurement Auctions

Ivanov

Nesterov

2019

Proceedings of the 2019 ACM Conference on Economics and Computation

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We propose a novel machine-learning-based approach to detect bid leakage in first-price sealed-bid auctions. We extract and analyze the data on more than 1.4 million Russian procurement auctions between 2014 and 2018. As bid leakage in each particular auction is tacit, the direct classification is impossible. Instead, we reduce the problem of bid leakage detection to Positive-Unlabeled Classification. The key idea is to regard the losing participants as fair and the winners as possibly corrupted. This allows us to estimate the prior probability of bid leakage in the sample, as well as the posterior probability of bid leakage for each specific auction. We find that at least 16% of auctions are exposed to bid leakage. Bid leakage is more likely in auctions with a higher reserve price, lower number of bidders and lower price fall, and where the winning bid is received in the last hour before the deadline.

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Section: Problem Setup and Identification Strategymentioning

confidence: 99%

Identifying Bid Leakage in Procurement Auctions

Ivanov

Nesterov

2019

Proceedings of the 2019 ACM Conference on Economics and Computation

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(Anti-Corruption and Protection of Competition)

Pavlova

Meleshkina

2017

SSRN Journal

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The procurement form matters

Plekhanova

2022

Vopr. èkon.

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The paper is devoted to the consequences of the choice among alternative procurement procedures in terms of cost and quality results of the complex projects implementation in the existing institutional environment of the Russian Federation. The empirical analysis, that was conducted on the procurement data in the field of metro construction within Federal law No. 223, showed that the auction’s form despite the higher indicators of the level of competition at the bidding loses its efficiency by price criterion with increasing contract complexity and demonstrates consistently lower relative savings rate compared to request for proposals in the case of procurement of design, construction, and repair works. Moreover, the auction is characterized by higher indicators of contract completion delays, which have a critical role in the implementation of infrastructure projects. The approaches proposed in the paper and obtained results may be useful in the formation of planning methods for a wide class of projects in terms of procurement activity organization.

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Indicators of Corruption in Public Procurement: The Example of Russian Regions

Cited by 5 publications

References 31 publications

Identifying Bid Leakage in Procurement Auctions

Identifying Bid Leakage in Procurement Auctions

(Anti-Corruption and Protection of Competition)

The procurement form matters

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