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Zach Y. Brown

Personal Details

First Name:Zach
Middle Name:Y.
Last Name:Brown
Suffix:
RePEc Short-ID:pbr897
[This author has chosen not to make the email address public]

Affiliation

(1%) National Bureau of Economic Research (NBER)

Cambridge, Massachusetts (United States)
http://www.nber.org/
RePEc:edi:nberrus (more details at EDIRC)

(99%) Economics Department
University of Michigan

Ann Arbor, Michigan (United States)
http://www.econ.lsa.umich.edu/
RePEc:edi:edumius (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Zach Y. Brown & Mark L. Egan & Jihye Jeon & Chuqing Jin & Alex A. Wu, 2023. "Why Do Index Funds Have Market Power? Quantifying Frictions in the Index Fund Market," NBER Working Papers 31778, National Bureau of Economic Research, Inc.
  2. Zach Y. Brown & Christopher Hansman & Jordan Keener & Andre F. Veiga, 2023. "Information and Disparities in Health Care Quality: Evidence from GP Choice in England," NBER Working Papers 31033, National Bureau of Economic Research, Inc.
  3. Jessica Van Parys & Zach Y. Brown, 2023. "Broadband Internet Access and Health Outcomes: Patient and Provider Responses in Medicare," NBER Working Papers 31579, National Bureau of Economic Research, Inc.
  4. Zach Y. Brown & Alexander MacKay, 2021. "Competition in Pricing Algorithms," NBER Working Papers 28860, National Bureau of Economic Research, Inc.
  5. Zach Y. Brown & Eduardo Montero & Carlos Schmidt-Padilla & Maria Micaela Sviatschi, 2020. "Market Structure and Extortion: Evidence from 50,000 Extortion Payments," NBER Working Papers 28299, National Bureau of Economic Research, Inc.

Articles

  1. Van Parys, Jessica & Brown, Zach Y., 2024. "Broadband Internet access and health outcomes: Patient and provider responses in Medicare," International Journal of Industrial Organization, Elsevier, vol. 95(C).
  2. Zach Y. Brown & Alexander MacKay, 2023. "Competition in Pricing Algorithms," American Economic Journal: Microeconomics, American Economic Association, vol. 15(2), pages 109-156, May.
  3. Zach Y. Brown & Jihye Jeon, 2021. "Product Proliferation under Rational Inattention: Application to Health Insurance," AEA Papers and Proceedings, American Economic Association, vol. 111, pages 554-559, May.
  4. Zach Y. Brown, 2019. "Equilibrium Effects of Health Care Price Information," The Review of Economics and Statistics, MIT Press, vol. 101(4), pages 699-712, October.

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.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Zach Y. Brown, 2019. "Equilibrium Effects of Health Care Price Information," The Review of Economics and Statistics, MIT Press, vol. 101(4), pages 699-712, October.

    Mentioned in:

    1. Equilibrium Effects of Health Care Price Information (REStat 2019) in ReplicationWiki ()

Working papers

  1. Zach Y. Brown & Christopher Hansman & Jordan Keener & Andre F. Veiga, 2023. "Information and Disparities in Health Care Quality: Evidence from GP Choice in England," NBER Working Papers 31033, National Bureau of Economic Research, Inc.

    Cited by:

    1. Empel, Giovanni & Gravelle, Hugh & Santos, Rita, 2023. "Does quality affect choice of family physician? Evidence from patients changing general practice without changing address," Economic Modelling, Elsevier, vol. 126(C).

  2. Zach Y. Brown & Alexander MacKay, 2021. "Competition in Pricing Algorithms," NBER Working Papers 28860, National Bureau of Economic Research, Inc.

    Cited by:

    1. Inkoo Cho & Noah Williams, 2024. "Collusive Outcomes Without Collusion," Papers 2403.07177, arXiv.org.
    2. Gonzalo Ballestero, 2021. "Collusion and Artificial Intelligence: A computational experiment with sequential pricing algorithms under stochastic costs," Young Researchers Working Papers 1, Universidad de San Andres, Departamento de Economia, revised Oct 2022.
    3. Siting Estee Lu, 2024. "Strategic Interactions between Large Language Models-based Agents in Beauty Contests," Papers 2404.08492, arXiv.org, revised Oct 2024.
    4. Dubus, Antoine, 2024. "Behavior-based algorithmic pricing," Information Economics and Policy, Elsevier, vol. 66(C).
    5. Johnson, Justin Pappas & Rhodes, Andrew & Wildenbeest, Matthijs, 2020. "Platform Design when Sellers Use Pricing Algorithms," TSE Working Papers 20-1146, Toulouse School of Economics (TSE).
    6. Lucila Porto, 2022. "Q-Learning algorithms in a Hotelling model," Asociación Argentina de Economía Política: Working Papers 4587, Asociación Argentina de Economía Política.
    7. Li, Chengming & Xu, Yang & Zheng, Hao & Wang, Zeyu & Han, Haiting & Zeng, Liangen, 2023. "Artificial intelligence, resource reallocation, and corporate innovation efficiency: Evidence from China's listed companies," Resources Policy, Elsevier, vol. 81(C).
    8. Zhijun Chen & Chongwoo Choe & Jiajia Cong & Noriaki Matsushima, 2021. "Data-driven mergers and personalization," ISER Discussion Paper 1108r, Institute of Social and Economic Research, Osaka University, revised Aug 2021.
    9. Javier Donna & Pedro Pereira, 2024. "Structural Presumptions for Non-Horizontal Mergers in the 2023 Merger Guidelines: A Primer and a Path Forwar," Working Papers 331, Red Nacional de Investigadores en Economía (RedNIE).
    10. Fourberg, Niklas & Marques Magalhaes, Katrin & Wiewiorra, Lukas, 2023. "They Are Among Us: Pricing Behavior of Algorithms in the Field," 32nd European Regional ITS Conference, Madrid 2023: Realising the digital decade in the European Union – Easier said than done? 277958, International Telecommunications Society (ITS).
    11. Martino Banchio & Giacomo Mantegazza, 2022. "Artificial Intelligence and Spontaneous Collusion," Papers 2202.05946, arXiv.org, revised Sep 2023.
    12. Nunan, Daniel & Di Domenico, MariaLaura, 2022. "Value creation in an algorithmic world: Towards an ethics of dynamic pricing," Journal of Business Research, Elsevier, vol. 150(C), pages 451-460.
    13. Epivent, Andréa & Lambin, Xavier, 2024. "On algorithmic collusion and reward–punishment schemes," Economics Letters, Elsevier, vol. 237(C).
    14. Ali Hortacsu & Olivia R. Natan & Hayden Parsley & Timothy Schwieg & Kevin R. Williams, 2021. "Organizational Structure and Pricing: Evidence from a Large U.S. Airline," Cowles Foundation Discussion Papers 2312R3, Cowles Foundation for Research in Economics, Yale University, revised Jan 2023.
    15. Gonzalo Ballestero, 2022. "Collusion and Artificial Intelligence: A Computational Experiment with Sequential Pricing Algorithms under Stochastic Costs," Working Papers 118, Red Nacional de Investigadores en Economía (RedNIE).
    16. Werner, Tobias, 2021. "Algorithmic and human collusion," DICE Discussion Papers 372, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    17. Rohit Lamba & Sergey Zhuk, 2022. "Pricing with algorithms," Papers 2205.04661, arXiv.org, revised Jun 2022.
    18. Bernhard Kasberger & Simon Martin & Hans-Theo Normann & Tobias Werner, 2024. "Algorithmic Cooperation," CESifo Working Paper Series 11124, CESifo.
    19. Runshan Fu & Ginger Zhe Jin & Meng Liu, 2022. "Does Human-algorithm Feedback Loop Lead to Error Propagation? Evidence from Zillow’s Zestimate," NBER Working Papers 29880, National Bureau of Economic Research, Inc.
    20. Jacques Thépot, 2021. "Pricing algorithms in oligopoly with decreasing returns," Theory and Decision, Springer, vol. 91(4), pages 493-515, November.
    21. Diego Aparicio & Zachary Metzman & Roberto Rigobon, 2024. "The pricing strategies of online grocery retailers," Quantitative Marketing and Economics (QME), Springer, vol. 22(1), pages 1-21, March.
    22. Martino Banchio & Andrzej Skrzypacz, 2022. "Artificial Intelligence and Auction Design," Papers 2202.05947, arXiv.org.
    23. Yousefimanesh, Niloofar & Bos, Iwan & Vermeulen, Dries, 2023. "Strategic rationing in Stackelberg games," Games and Economic Behavior, Elsevier, vol. 140(C), pages 529-555.
    24. Tom‐Reiel Heggedal & Leif Helland & Espen R. Moen, 2024. "Sequential Price Setting: Theory And Evidence From A Lab Experiment," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 65(2), pages 693-727, May.
    25. Fourberg, Niklas & Marques-Magalhaes, Katrin & Wiewiorra, Lukas, 2022. "They are among us: Pricing behavior of algorithms in the field," WIK Working Papers 6, WIK Wissenschaftliches Institut für Infrastruktur und Kommunikationsdienste GmbH, Bad Honnef.
    26. Aniko …ry & Ali Horta su & Kevin Williams, 2022. "Dynamic Price Competition: Theory and Evidence from Airline Markets," Cowles Foundation Discussion Papers 2341R1, Cowles Foundation for Research in Economics, Yale University, revised Apr 2023.
    27. Shidi Deng & Maximilian Schiffer & Martin Bichler, 2024. "Algorithmic Collusion in Dynamic Pricing with Deep Reinforcement Learning," Papers 2406.02437, arXiv.org.
    28. Olivier Compte, 2023. "Q-learning with biased policy rules," Papers 2304.12647, arXiv.org, revised Oct 2023.

Articles

  1. Zach Y. Brown & Alexander MacKay, 2023. "Competition in Pricing Algorithms," American Economic Journal: Microeconomics, American Economic Association, vol. 15(2), pages 109-156, May.
    See citations under working paper version above.
  2. Zach Y. Brown, 2019. "Equilibrium Effects of Health Care Price Information," The Review of Economics and Statistics, MIT Press, vol. 101(4), pages 699-712, October.

    Cited by:

    1. Martin Gaynor & Kate Ho & Robert Town, 2014. "The Industrial Organization of Health Care Markets," NBER Working Papers 19800, National Bureau of Economic Research, Inc.
    2. Christopher T. Robertson & Wendy Netter Epstein & Hansoo Ko, 2023. "The effects of price transparency and debt collection policies on intentions to consume recommended health care: A randomized vignette experiment," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 20(4), pages 941-960, December.
    3. Ralph Siebert & Michael J. Seiler, 2020. "Why Do Buyers Pay Different Prices for Comparable Products? Evidence from the Housing Market," CESifo Working Paper Series 8337, CESifo.
    4. Xuan Teng, 2022. "Self-Preferencing, Quality Provision, and Welfare in Mobile Application Markets," CESifo Working Paper Series 10042, CESifo.
    5. Johannes Abeler & David Huffman & Colin Raymond, 2023. "Incentive Complexity, Bounded Rationality and Effort Provision," Economics Series Working Papers 1012, University of Oxford, Department of Economics.
    6. Abeler, Johannes & Huffman, David B. & Raymond, Collin, 2023. "Incentive Complexity, Bounded Rationality and Effort Provision," IZA Discussion Papers 16284, Institute of Labor Economics (IZA).
    7. de Leverano, Adriano & Baulia, Susmita, 2023. "A new indicator to implement effective spending review policies in the public procurement for standardized goods," ZEW Discussion Papers 23-063, ZEW - Leibniz Centre for European Economic Research.
    8. Lee, Chung-Ying, 2020. "Pricing strategy and moral hazard: Copay coupons in pharmaceuticals," International Journal of Industrial Organization, Elsevier, vol. 70(C).
    9. Chernew, Michael & Cooper, Zack & Hallock, Eugene Larsen & Scott Morton, Fiona, 2021. "Physician agency, consumerism, and the consumption of lower-limb MRI scans," Journal of Health Economics, Elsevier, vol. 76(C).
    10. Klein, Tobias & Husiatyński, Maciej & Mikkers, Misja, 2021. "Increasing price transparency in the Dutch health care market does not affect provider choice," CEPR Discussion Papers 15981, C.E.P.R. Discussion Papers.
    11. Ralph B. Siebert & Michael J. Seiler, 2022. "Why Do Buyers Pay Different Prices for Comparable Products? A Structural Approach on the Housing Market," The Journal of Real Estate Finance and Economics, Springer, vol. 65(2), pages 261-292, August.

More information

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Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 5 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 (2) 2021-06-28 2024-06-17. Author is listed
  2. NEP-FMK: Financial Markets (2) 2023-11-06 2024-06-17. Author is listed
  3. NEP-HEA: Health Economics (2) 2023-04-10 2023-09-25. Author is listed
  4. NEP-IND: Industrial Organization (2) 2021-06-28 2024-06-17. Author is listed
  5. NEP-BIG: Big Data (1) 2021-06-28
  6. NEP-CWA: Central and Western Asia (1) 2021-06-28
  7. NEP-ICT: Information and Communication Technologies (1) 2023-09-25
  8. NEP-REG: Regulation (1) 2021-06-28

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