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Rieko Ishii

Personal Details

First Name:Rieko
Middle Name:
Last Name:Ishii
Suffix:
RePEc Short-ID:pis129
[This author has chosen not to make the email address public]

Affiliation

Faculty of Economics
Shiga University

Hikone, Japan
http://www.econ.shiga-u.ac.jp/
RePEc:edi:feshijp (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Rieko Ishii, 2008. "Collusion in Repeated Procurement Auction: A Study of a Paving Market in Japan," ISER Discussion Paper 0710, Institute of Social and Economic Research, Osaka University.
  2. Rieko Ishii, 2007. "Detecting Collusion through Exchange of Favors in Repeated Procurement Auctions," Discussion Papers in Economics and Business 07-15, Osaka University, Graduate School of Economics.

Articles

  1. Rieko Ishii, 2022. "Can E-Procurement Reduce Bid Rigging In Public Auctions?," Journal of Competition Law and Economics, Oxford University Press, vol. 18(2), pages 456-482.
  2. Hatsumi, Kentaro & Ishii, Rieko, 2022. "The effect of price on the quality of public construction in Japan," Japan and the World Economy, Elsevier, vol. 62(C).
  3. Martin Huber & David Imhof & Rieko Ishii, 2022. "Transnational machine learning with screens for flagging bid‐rigging cartels," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 1074-1114, July.
  4. Rieko Ishii, 2014. "Bid Roundness Under Collusion in Japanese Procurement Auctions," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 44(3), pages 241-254, May.
  5. Arai, Koki & Ishibashi, Ikuo & Ishii-Ishibashi, Rieko, 2011. "Research and analysis on bid rigging mechanisms," Japan and the World Economy, Elsevier, vol. 23(1), pages 1-5, January.
  6. Ishii, Rieko, 2009. "Favor exchange in collusion: Empirical study of repeated procurement auctions in Japan," International Journal of Industrial Organization, Elsevier, vol. 27(2), pages 137-144, March.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Rieko Ishii, 2008. "Collusion in Repeated Procurement Auction: A Study of a Paving Market in Japan," ISER Discussion Paper 0710, Institute of Social and Economic Research, Osaka University.

    Cited by:

    1. Nozomu Muto & Yasuhiro Shirata & Takuro Yamashita, 2020. "Revenue-capped efficient auctions," Post-Print hal-03049103, HAL.
    2. Francesco Decarolis, 2009. "When the Highest Bidder Loses the Auction: Theory and Evidence from Public Procurement," 2009 Meeting Papers 130, Society for Economic Dynamics.
    3. Arai, Koki & Ishibashi, Ikuo & Ishii-Ishibashi, Rieko, 2011. "Research and analysis on bid rigging mechanisms," Japan and the World Economy, Elsevier, vol. 23(1), pages 1-5, January.
    4. Sylvain Chassang & Juan Ortner, 2017. "Collusion in Auctions with Constrained Bids: Theory and Evidence from Public Procurement," Working Papers 072_2015, Princeton University, Department of Economics, Econometric Research Program..
    5. Hannes Wallimann & David Imhof & Martin Huber, 2023. "A Machine Learning Approach for Flagging Incomplete Bid-Rigging Cartels," Computational Economics, Springer;Society for Computational Economics, vol. 62(4), pages 1669-1720, December.
    6. Ishii, Rieko, 2009. "Favor exchange in collusion: Empirical study of repeated procurement auctions in Japan," International Journal of Industrial Organization, Elsevier, vol. 27(2), pages 137-144, March.
    7. David Imhof & Hannes Wallimann, 2021. "Detecting bid-rigging coalitions in different countries and auction formats," Papers 2105.00337, arXiv.org.
    8. Juan M. Ortner & Sylvain Chassang & Kei Kawai & Jun Nakabayashi, 2022. "Screening Adaptive Cartels," NBER Working Papers 30219, National Bureau of Economic Research, Inc.
    9. Rieko Ishii, 2014. "Bid Roundness Under Collusion in Japanese Procurement Auctions," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 44(3), pages 241-254, May.
    10. Palacio, Sebastián M., 2020. "Predicting collusive patterns in a liberalized electricity market with mandatory auctions of forward contracts," Energy Policy, Elsevier, vol. 139(C).
    11. Granlund, David & Rudholm, Niklas, 2023. "Calculating the probability of collusion based on observed price patterns," Umeå Economic Studies 1014, Umeå University, Department of Economics, revised 13 Oct 2023.
    12. Maris Goldmanis & Antonio Penta & Francesco Decarolis, 2012. "Common Agency and Coordinated Bids in Sponsored Search Auctions," 2012 Meeting Papers 106, Society for Economic Dynamics.
    13. Imhof, David, 2017. "Simple Statistical Screens to Detect Bid Rigging," FSES Working Papers 484, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.

Articles

  1. Martin Huber & David Imhof & Rieko Ishii, 2022. "Transnational machine learning with screens for flagging bid‐rigging cartels," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 1074-1114, July.

    Cited by:

    1. Hannes Wallimann & David Imhof & Martin Huber, 2023. "A Machine Learning Approach for Flagging Incomplete Bid-Rigging Cartels," Computational Economics, Springer;Society for Computational Economics, vol. 62(4), pages 1669-1720, December.
    2. Wallimann, Hannes & Sticher, Silvio, 2023. "On suspicious tracks: Machine-learning based approaches to detect cartels in railway-infrastructure procurement," Transport Policy, Elsevier, vol. 143(C), pages 121-131.
    3. Bedri Kamil Onur Tas, 2024. "A machine learning approach to detect collusion in public procurement with limited information," Journal of Computational Social Science, Springer, vol. 7(2), pages 1913-1935, October.
    4. Hannes Wallimann & Silvio Sticher, 2023. "On suspicious tracks: machine-learning based approaches to detect cartels in railway-infrastructure procurement," Papers 2304.11888, arXiv.org.
    5. Huber, Martin & Imhof, David, 2023. "Flagging cartel participants with deep learning based on convolutional neural networks," International Journal of Industrial Organization, Elsevier, vol. 89(C).
    6. Imhof, David & Wallimann, Hannes, 2021. "Detecting bid-rigging coalitions in different countries and auction formats," International Review of Law and Economics, Elsevier, vol. 68(C).
    7. Silveira, Douglas & de Moraes, Lucas B. & Fiuza, Eduardo P.S. & Cajueiro, Daniel O., 2023. "Who are you? Cartel detection using unlabeled data," International Journal of Industrial Organization, Elsevier, vol. 88(C).
    8. Brown, David P. & Eckert, Andrew & Silveira, Douglas, 2023. "Screening for Collusion in Wholesale Electricity Markets: A Review of the Literature," Working Papers 2023-7, University of Alberta, Department of Economics.
    9. Brown, David P. & Eckert, Andrew & Silveira, Douglas, 2023. "Screening for collusion in wholesale electricity markets: A literature review," Utilities Policy, Elsevier, vol. 85(C).

  2. Rieko Ishii, 2014. "Bid Roundness Under Collusion in Japanese Procurement Auctions," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 44(3), pages 241-254, May.

    Cited by:

    1. Hatsumi, Kentaro & Ishii, Rieko, 2022. "The effect of price on the quality of public construction in Japan," Japan and the World Economy, Elsevier, vol. 62(C).
    2. Hannes Wallimann & Silvio Sticher, 2024. "How to Use Data Science in Economics -- a Classroom Game Based on Cartel Detection," Papers 2401.14757, arXiv.org.
    3. Hannes Wallimann & David Imhof & Martin Huber, 2023. "A Machine Learning Approach for Flagging Incomplete Bid-Rigging Cartels," Computational Economics, Springer;Society for Computational Economics, vol. 62(4), pages 1669-1720, December.
    4. Chaudhry, Sajid M. & Bajoori, Elnaz & Nandeibam, Shasi, 2019. "Clustered pricing in the corporate loan market: Theory and empirical evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 275-296.
    5. Lucas Gomes & Jannis Kueck & Mara Mattes & Martin Spindler & Alexey Zaytsev, 2024. "Collusion Detection with Graph Neural Networks," Papers 2410.07091, arXiv.org.
    6. Bedri Kamil Onur Tas, 2024. "A machine learning approach to detect collusion in public procurement with limited information," Journal of Computational Social Science, Springer, vol. 7(2), pages 1913-1935, October.
    7. Martin Huber & David Imhof & Rieko Ishii, 2022. "Transnational machine learning with screens for flagging bid‐rigging cartels," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 1074-1114, July.
    8. Huber, Martin & Imhof, David, 2023. "Flagging cartel participants with deep learning based on convolutional neural networks," International Journal of Industrial Organization, Elsevier, vol. 89(C).
    9. Aljoscha Janssen, 2022. "Price dynamics of Swedish pharmaceuticals," Quantitative Marketing and Economics (QME), Springer, vol. 20(4), pages 313-351, December.
    10. Fabian Ocker & Karl‐Martin Ehrhart & Marion Ott, 2018. "Bidding strategies in Austrian and German balancing power auctions," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 7(6), November.
    11. Imhof, David & Wallimann, Hannes, 2021. "Detecting bid-rigging coalitions in different countries and auction formats," International Review of Law and Economics, Elsevier, vol. 68(C).
    12. Xiaoli Wang & Yun Liu & Yanbing Ju, 2018. "Sustainable Public Procurement Policies on Promoting Scientific and Technological Innovation in China: Comparisons with the U.S., the UK, Japan, Germany, France, and South Korea," Sustainability, MDPI, vol. 10(7), pages 1-27, June.
    13. Eremina, Anastasia & Zoroastrova, Irina & Maksimov, Andrey, 2018. "Empirical analysis of municipal peculiarities influence on price outcomes of public purchases," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 51, pages 84-101.

  3. Ishii, Rieko, 2009. "Favor exchange in collusion: Empirical study of repeated procurement auctions in Japan," International Journal of Industrial Organization, Elsevier, vol. 27(2), pages 137-144, March.

    Cited by:

    1. Hatsumi, Kentaro & Ishii, Rieko, 2022. "The effect of price on the quality of public construction in Japan," Japan and the World Economy, Elsevier, vol. 62(C).
    2. Andreas Christos Pliatsidis, 2024. "Analyzing concentration in the Greek public procurement market: a network theory approach," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 51(2), pages 431-480, June.
    3. Sanna Laksá & Daniel Marszalec & Alexander Teytelboym, 2018. "Epic Fail: How Below-Bid Pricing Backfires in Multiunit Auctions," CIRJE F-Series CIRJE-F-1096, CIRJE, Faculty of Economics, University of Tokyo.
    4. Arai, Koki & Ishibashi, Ikuo & Ishii-Ishibashi, Rieko, 2011. "Research and analysis on bid rigging mechanisms," Japan and the World Economy, Elsevier, vol. 23(1), pages 1-5, January.
    5. Bedri Kamil Onur Tas, 2020. "Effect of Public Procurement Regulation on Competition and Cost-Effectiveness," RSCAS Working Papers 2020/36, European University Institute.
    6. Mats A. Bergman & Johan Lundberg & Sofia Lundberg & Johan Y. Stake, 2020. "Interactions Across Firms and Bid Rigging," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 56(1), pages 107-130, February.
    7. David Barrus & Frank Scott, 2020. "Single Bidders and Tacit Collusion in Highway Procurement Auctions," Journal of Industrial Economics, Wiley Blackwell, vol. 68(3), pages 483-522, September.
    8. David Imhof & Yavuz Karagök & SAMUEL RUTZ, 2017. "Screening for Bid-rigging. Does it Work?," Working Papers 2017-09, CRESE.
    9. Johannes Wachs & J'anos Kert'esz, 2019. "A network approach to cartel detection in public auction markets," Papers 1906.08667, arXiv.org.
    10. Rieko Ishii, 2014. "Bid Roundness Under Collusion in Japanese Procurement Auctions," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 44(3), pages 241-254, May.
    11. Bernasconi, Mario & Espinosa, Miguel & Macchiavello, Rocco & Suarez, Carlos, 2023. "Relational Collusion in the Colombian Electricity Market," CEPR Discussion Papers 18056, C.E.P.R. Discussion Papers.
    12. Bernasconi, Mario, 2024. "Essays on labour economics and industrial organization," Other publications TiSEM c26b3dfe-a2d3-4c31-b0fc-f, Tilburg University, School of Economics and Management.
    13. Ilya Morozov & Elena Podkolzina, 2013. "Collusion detection in procurement auctions," HSE Working papers WP BRP 25/EC/2013, National Research University Higher School of Economics.
    14. Mihály Fazekas & Lawrence Peter King, 2019. "Perils of development funding? The tale of EU Funds and grand corruption in Central and Eastern Europe," Regulation & Governance, John Wiley & Sons, vol. 13(3), pages 405-430, September.
    15. Robert Clark & Decio Coviello & Adriano De Leverano, 2020. "Complementary bidding and the collusive arrangement: Evidence from an antitrust investigation," Working Paper 1446, Economics Department, Queen's University.
    16. Kei Kawai & Jun Nakabayashi & Juan Ortner & Sylvain Chassang, 2023. "Using Bid Rotation and Incumbency to Detect Collusion: A Regression Discontinuity Approach," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(1), pages 376-403.
    17. Li, Sherry Xin & Dogan, Kutsal & Haruvy, Ernan, 2011. "Group identity in markets," International Journal of Industrial Organization, Elsevier, vol. 29(1), pages 104-115, January.
    18. Bedri Kamil Onur Tas, 2017. "Collusion Detection in Public Procurement with Limited Information," Working Papers 1127, Economic Research Forum, revised 08 Oct 2017.
    19. Silveira, Douglas & de Moraes, Lucas B. & Fiuza, Eduardo P.S. & Cajueiro, Daniel O., 2023. "Who are you? Cartel detection using unlabeled data," International Journal of Industrial Organization, Elsevier, vol. 88(C).
    20. Xiaowei Wang & Wuyan Long & Meiyue Sang & Yang Yang, 2022. "Towards Sustainable Urbanization: Exploring the Influence Paths of the Urban Environment on Bidders’ Collusive Willingness," Land, MDPI, vol. 11(2), pages 1-14, February.
    21. Seres, Gyula, 2017. "Auction cartels and the absence of efficient communication," International Journal of Industrial Organization, Elsevier, vol. 52(C), pages 282-306.
    22. Bedri Kamil Onur Tas, 2019. "Effect of Public Procurement Regulation on Competition and Cost-Effectiveness," RSCAS Working Papers 2019/22, European University Institute.
    23. Brown, David P. & Eckert, Andrew & Silveira, Douglas, 2023. "Screening for Collusion in Wholesale Electricity Markets: A Review of the Literature," Working Papers 2023-7, University of Alberta, Department of Economics.
    24. Bedri Kamil Onur Tas, 2020. "Effect of public procurement regulation on competition and cost-effectiveness," Journal of Regulatory Economics, Springer, vol. 58(1), pages 59-77, August.
    25. Ricardo Carvalho Lima & Guilherme Mendes Resende, 2021. "Using the Moran’s I to detect bid rigging in Brazilian procurement auctions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 66(2), pages 237-254, April.
    26. Bedri Kamil Onur Tas, 2023. "Bunching below thresholds to manipulate public procurement," Empirical Economics, Springer, vol. 64(1), pages 303-319, January.
    27. Imhof, David & Karagök, Yavuz & Rutz, Samuel, 2016. "Screening for bid-rigging - does it work?," FSES Working Papers 468, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    28. Brown, David P. & Eckert, Andrew & Silveira, Douglas, 2023. "Screening for collusion in wholesale electricity markets: A literature review," Utilities Policy, Elsevier, vol. 85(C).
    29. Ilke Onur & Bedri Kamil Onur Tas, 2019. "Optimal bidder participation in public procurement auctions," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 26(3), pages 595-617, June.

More information

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-COM: Industrial Competition (1) 2007-05-12
  2. NEP-PBE: Public Economics (1) 2007-05-12

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