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Nicolas Lambert

Personal Details

First Name:Nicolas
Middle Name:Sebastien
Last Name:Lambert
Suffix:
RePEc Short-ID:pla1071
[This author has chosen not to make the email address public]
https://ai.stanford.edu/~nlambert/

Affiliation

Department of Economics
University of Southern California

Los Angeles, California (United States)
https://dornsife.usc.edu/econ/
RePEc:edi:deuscus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Johannes Hörner & Nicolas Lambert, 2021. "Motivational Ratings," Post-Print hal-03759599, HAL.
  2. Christopher P. Chambers & Federico Echenique & Nicolas Lambert, 2019. "Recovering Preferences from Finite Data," Papers 1909.05457, arXiv.org, revised Oct 2020.
  3. Nicolas S. Lambert & Giorgio Martini & Michael Ostrovsky, 2018. "Quadratic Games," NBER Working Papers 24914, National Bureau of Economic Research, Inc.
  4. Christopher P. Chambers & Federico Echenique & Nicolas S. Lambert, 2018. "Preference Identification," Papers 1807.11585, arXiv.org.
  5. Bowen, T. Renee & Chan, Jackie M. L. & Dube, Oeindrila & Lambert, Nicolas S., 2016. "Reform Fatigue," Research Papers 3394, Stanford University, Graduate School of Business.
  6. T. Renee Bowen & George Georgiadis & Nicolas S. Lambert, 2016. "Collective Choice in Dynamic Public Good Provision," NBER Working Papers 22772, National Bureau of Economic Research, Inc.
  7. Bowen, T. Renee & Georgiadis, George & Lambert, Nicolas S., 2015. "Collective Choice in Dynamic Public Good Provision: Real versus Formal Authority," Research Papers 3346, Stanford University, Graduate School of Business.
  8. Chambers, Christopher P. & Lambert, Nicolas S., 2014. "Dynamically Eliciting Unobservable Information," Research Papers 3036, Stanford University, Graduate School of Business.
  9. Lambert, Nicolas & Ostrovsky, Michael & Panov, Mikhail, 2014. "Strategic Trading in Informationally Complex Environments," Research Papers 3021, Stanford University, Graduate School of Business.
  10. Feinberg, Yossi & Lambert, Nicolas S., 2011. "Mostly Calibrated," Research Papers 2090, Stanford University, Graduate School of Business.
  11. Chen, Ning & Ghosh, Arpita & Lambert, Nicolas S., 2011. "Auctions for Social Lending: A Theoretical Analysis," Research Papers 2078, Stanford University, Graduate School of Business.

Articles

  1. Johannes Hörner & Nicolas S Lambert, 2021. "Motivational Ratings [Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(4), pages 1892-1935.
  2. Steven Callander & Nicolas Lambert & Niko Matouschek, 2021. "Arrow Meets Hotelling: Modeling Spatial Innovation," AEA Papers and Proceedings, American Economic Association, vol. 111, pages 538-543, May.
  3. Steven Callander & Nicolas S. Lambert & Niko Matouschek, 2021. "The Power of Referential Advice," Journal of Political Economy, University of Chicago Press, vol. 129(11), pages 3073-3140.
  4. Christopher P. Chambers & Nicolas S. Lambert, 2021. "Dynamic Belief Elicitation," Econometrica, Econometric Society, vol. 89(1), pages 375-414, January.
  5. Christopher P. Chambers & Federico Echenique & Nicolas S. Lambert, 2021. "Recovering Preferences From Finite Data," Econometrica, Econometric Society, vol. 89(4), pages 1633-1664, July.
  6. Lambert, Nicolas S. & Marple, Adrian & Shoham, Yoav, 2019. "On equilibria in games with imperfect recall," Games and Economic Behavior, Elsevier, vol. 113(C), pages 164-185.
  7. T. Renee Bowen & George Georgiadis & Nicolas S. Lambert, 2019. "Collective Choice in Dynamic Public Good Provision," American Economic Journal: Microeconomics, American Economic Association, vol. 11(1), pages 243-298, February.
  8. Chambers, Christopher P. & Healy, Paul J. & Lambert, Nicolas S., 2019. "Proper scoring rules with general preferences: A dual characterization of optimal reports," Games and Economic Behavior, Elsevier, vol. 117(C), pages 322-341.
  9. Nicolas S. Lambert & Michael Ostrovsky & Mikhail Panov, 2018. "Strategic Trading in Informationally Complex Environments," Econometrica, Econometric Society, vol. 86(4), pages 1119-1157, July.
  10. Lambert, Nicolas S. & Langford, John & Wortman Vaughan, Jennifer & Chen, Yiling & Reeves, Daniel M. & Shoham, Yoav & Pennock, David M., 2015. "An axiomatic characterization of wagering mechanisms," Journal of Economic Theory, Elsevier, vol. 156(C), pages 389-416.
  11. Yossi Feinberg & Nicolas Lambert, 2015. "Mostly calibrated," International Journal of Game Theory, Springer;Game Theory Society, vol. 44(1), pages 153-163, February.
  12. Chen, Ning & Ghosh, Arpita & Lambert, Nicolas S., 2014. "Auctions for social lending: A theoretical analysis," Games and Economic Behavior, Elsevier, vol. 86(C), pages 367-391.

    RePEc:inm:ormnsc:v:66:y:2020:i:2:p:844-862 is not listed on IDEAS

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. Johannes Hörner & Nicolas Lambert, 2021. "Motivational Ratings," Post-Print hal-03759599, HAL.

    Cited by:

    1. Hakenes, Hendrik & Katolnik, Svetlana, 2017. "On the incentive effects of job rotation," European Economic Review, Elsevier, vol. 98(C), pages 424-441.
    2. Sergey Kovbasyuk & Giancarlo Spagnolo, 2021. "Memory And Markets," Working Papers w0284, New Economic School (NES).
    3. Yasui, Yuta, 2021. "Controlling Fake Reviews," MPRA Paper 108177, University Library of Munich, Germany.
    4. Kaya, Ayça & Roy, Santanu, 2022. "Market screening with limited records," Games and Economic Behavior, Elsevier, vol. 132(C), pages 106-132.
    5. Dirk Bergemann & Marco Ottaviani, 2021. "Information Markets and Nonmarkets," Cowles Foundation Discussion Papers 2296, Cowles Foundation for Research in Economics, Yale University.
    6. Tan, Teck Yong, 2023. "Optimal transparency of monitoring capability," Journal of Economic Theory, Elsevier, vol. 209(C).

  2. Christopher P. Chambers & Federico Echenique & Nicolas Lambert, 2019. "Recovering Preferences from Finite Data," Papers 1909.05457, arXiv.org, revised Oct 2020.

    Cited by:

    1. Kubler, Felix & Malhotra, Raghav & Polemarchakis, Herakles, 2020. "Identification of preferences, demand and equilibrium with finite data," The Warwick Economics Research Paper Series (TWERPS) 1290, University of Warwick, Department of Economics.
    2. Pawel Dziewulski, 2021. "A comprehensive revealed preference approach to approximate utility maximisation," Working Paper Series 0621, Department of Economics, University of Sussex Business School.
    3. Felix Kubler & Raghav Malhotra & Herakles Polemarchakis, 2021. "Exact inference from finite market data," Papers 2107.07294, arXiv.org.
    4. Pablo Schenone, 2020. "Final Topology for Preference Spaces," Papers 2004.02357, arXiv.org, revised Mar 2024.

  3. Nicolas S. Lambert & Giorgio Martini & Michael Ostrovsky, 2018. "Quadratic Games," NBER Working Papers 24914, National Bureau of Economic Research, Inc.

    Cited by:

    1. Toomas Hinnosaar, 2021. "Stackelberg Independence," Journal of Industrial Economics, Wiley Blackwell, vol. 69(1), pages 214-238, March.
    2. Galeotti, A. & Golub, B. & Goyal, S., 2017. "Targeting Interventions in Networks," Cambridge Working Papers in Economics 1744, Faculty of Economics, University of Cambridge.

  4. Christopher P. Chambers & Federico Echenique & Nicolas S. Lambert, 2018. "Preference Identification," Papers 1807.11585, arXiv.org.

    Cited by:

    1. Dziewulski, Paweł, 2018. "Revealed time preference," Games and Economic Behavior, Elsevier, vol. 112(C), pages 67-77.
    2. Gorno, Leandro, 2019. "Revealed preference and identification," Journal of Economic Theory, Elsevier, vol. 183(C), pages 698-739.
    3. Kunimoto, Takashi & Yamashita, Takuro, 2020. "Order on types based on monotone comparative statics," Journal of Economic Theory, Elsevier, vol. 189(C).

  5. Bowen, T. Renee & Chan, Jackie M. L. & Dube, Oeindrila & Lambert, Nicolas S., 2016. "Reform Fatigue," Research Papers 3394, Stanford University, Graduate School of Business.

    Cited by:

    1. Esslinger, Christoph & Boyer, Pierre, 2015. "Public debt and the political economy of reforms," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113107, Verein für Socialpolitik / German Economic Association.
    2. Li, Jingheng & Xi, Tianyang & Yao, Yang, 2020. "Empowering knowledge: Political leaders, education, and economic liberalization," European Journal of Political Economy, Elsevier, vol. 61(C).

  6. T. Renee Bowen & George Georgiadis & Nicolas S. Lambert, 2016. "Collective Choice in Dynamic Public Good Provision," NBER Working Papers 22772, National Bureau of Economic Research, Inc.

    Cited by:

    1. Colombo, Luca & Labrecciosa, Paola & Long, Ngo Van, 2019. "A Dynamic Analysis of Climate Change Mitigation with Endogenous Number of Contributors: Loose vs Tight Cooperation," Discussion paper series HIAS-E-92, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    2. Colombo, Luca & Labrecciosa, Paola & Van Long, Ngo, 2022. "A dynamic analysis of international environmental agreements under partial cooperation," European Economic Review, Elsevier, vol. 143(C).
    3. Huseyin Yildirim, 2023. "Who fares better in teamwork?," RAND Journal of Economics, RAND Corporation, vol. 54(2), pages 299-324, June.
    4. Ozerturk, Saltuk & Yildirim, Huseyin, 2021. "Credit attribution and collaborative work," Journal of Economic Theory, Elsevier, vol. 195(C).
    5. Sébastien Rouillon, 2016. "Noncooperative Dynamic Contribution to a Public Project," Post-Print hal-02274051, HAL.
    6. Georgiadis, George, 2017. "Deadlines and infrequent monitoring in the dynamic provision of public goods," Journal of Public Economics, Elsevier, vol. 152(C), pages 1-12.
    7. Saltuk Özerturk & Huseyin Yildirim, 2019. "Credit Attribution and Collaborative Work," Departmental Working Papers 1907, Southern Methodist University, Department of Economics.

  7. Bowen, T. Renee & Georgiadis, George & Lambert, Nicolas S., 2015. "Collective Choice in Dynamic Public Good Provision: Real versus Formal Authority," Research Papers 3346, Stanford University, Graduate School of Business.

    Cited by:

    1. Sébastien Rouillon, 2016. "Noncooperative Dynamic Contribution to a Public Project," Post-Print hal-02274051, HAL.

  8. Chambers, Christopher P. & Lambert, Nicolas S., 2014. "Dynamically Eliciting Unobservable Information," Research Papers 3036, Stanford University, Graduate School of Business.

    Cited by:

    1. Edi Karni & Marie-Louise Vierø, 2020. "Comparative Incompleteness: Measurement, Behavioral Manifestations and Elicitation," Working Paper 1443, Economics Department, Queen's University.
    2. Dirk Bergemann & Stephen Morris & Satoru Takahashi, 2010. "Interdependent Preferences and Strategic Distinguishability," Cowles Foundation Discussion Papers 1772, Cowles Foundation for Research in Economics, Yale University.
    3. Mira Frick & Ryota Iijima & Tomasz Strzalecki, 2017. "Dynamic Random Utility," Cowles Foundation Discussion Papers 2092, Cowles Foundation for Research in Economics, Yale University.
    4. Frongillo, Rafael M. & Kash, Ian A., 2021. "General truthfulness characterizations via convex analysis," Games and Economic Behavior, Elsevier, vol. 130(C), pages 636-662.
    5. Edi Karni, 2020. "A mechanism for the elicitation of second-order belief and subjective information structure," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 69(1), pages 217-232, February.

  9. Lambert, Nicolas & Ostrovsky, Michael & Panov, Mikhail, 2014. "Strategic Trading in Informationally Complex Environments," Research Papers 3021, Stanford University, Graduate School of Business.

    Cited by:

    1. Dirk Bergemann & Tibor Heumann & Stephen Morris, 2015. "Information and Market Power," Cowles Foundation Discussion Papers 2017, Cowles Foundation for Research in Economics, Yale University.
    2. Guo, Mng, 2023. "Dampening effect and market efficiency," Journal of Economic Dynamics and Control, Elsevier, vol. 148(C).
    3. Zhou, Deqing & Wang, Wenjie, 2020. "Insider, outsider and information heterogeneity," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
    4. Wassim Daher & Fida Karam & Naveed Ahmed, 2023. "Insider Trading with Semi-Informed Traders and Information Sharing: The Stackelberg Game," Mathematics, MDPI, vol. 11(22), pages 1-16, November.
    5. Spyros Galanis & Christos A. Ioannou & Stelios Kotronis, 2023. "Information Aggregation Under Ambiguity: Theory and Experimental Evidence," Working Papers 2023_04, Durham University Business School.
    6. Manzano, Carolina & Vives, Xavier, 2017. "Market Power and Welfare in Asymmetric Divisible Good Auctions," Working Papers 2072/292436, Universitat Rovira i Virgili, Department of Economics.
    7. Schneider, Julian & Oehler, Andreas, 2021. "Competition for visibility: When do (FX) signal providers employ lotteries?," International Review of Financial Analysis, Elsevier, vol. 78(C).
    8. Savitar Sundaresan & Jaromir Nosal & Marcin Kacperczyk, 2017. "Market Power and Informational Efficiency," 2017 Meeting Papers 356, Society for Economic Dynamics.
    9. Lou, Youcheng & Parsa, Sahar & Ray, Debraj & Li, Duan & Wang, Shouyang, 2019. "Information aggregation in a financial market with general signal structure," Journal of Economic Theory, Elsevier, vol. 183(C), pages 594-624.
    10. Atakan, Alp Enver & Ekmekci, Mehmet, 2016. "Market Selection and the Information Content of Prices," MPRA Paper 75632, University Library of Munich, Germany.
    11. Dai, Shangze & Fan, Fei & Zhang, Keke, 2022. "Creative Destruction and Stock Price Informativeness in Emerging Economies," MPRA Paper 113661, University Library of Munich, Germany.
    12. Gong, Aibo & Ke, Shaowei & Qiu, Yawen & Shen, Rui, 2022. "Robust pricing under strategic trading," Journal of Economic Theory, Elsevier, vol. 199(C).
    13. Wassim Daher & Harun Aydilek & Elias G. Saleeby, 2020. "Insider trading with different risk attitudes," Journal of Economics, Springer, vol. 131(2), pages 123-147, October.
    14. Marzena Rostek & Ji Hee Yoon, 2021. "Exchange Design and Efficiency," Econometrica, Econometric Society, vol. 89(6), pages 2887-2928, November.
    15. Annie Liang & Xiaosheng Mu & Vasilis Syrgkanis, 2019. "Optimal and Myopic Information Acquisition," Working Papers 2019-25, Princeton University. Economics Department..
    16. Zhou, Deqing & Zhen, Fang, 2021. "Risk aversion, informative noise trading, and long-lived information," Economic Modelling, Elsevier, vol. 97(C), pages 247-254.
    17. Jihad C. Elnaboulsi & Wassim Daher & Yiğit Sağlam, 2023. "Environmental taxation, information precision, and information sharing," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 25(2), pages 301-341, April.
    18. Bruno Bouchard & Masaaki Fukasawa & Martin Herdegen & Johannes Muhle-Karbe, 2017. "Equilibrium Returns with Transaction Costs," Papers 1707.08464, arXiv.org, revised Apr 2018.
    19. Sadzik, Tomasz & Woolnough, Chris, 2021. "Snowballing private information," Journal of Economic Theory, Elsevier, vol. 198(C).
    20. Heumann, Tibor, 2021. "Efficiency in trading markets with multi-dimensional signals," Journal of Economic Theory, Elsevier, vol. 191(C).

  10. Chen, Ning & Ghosh, Arpita & Lambert, Nicolas S., 2011. "Auctions for Social Lending: A Theoretical Analysis," Research Papers 2078, Stanford University, Graduate School of Business.

    Cited by:

    1. Dorfleitner, Gregor & Rad, Jacqueline & Weber, Martina, 2017. "Pricing in the online invoice trading market: First empirical evidence," Economics Letters, Elsevier, vol. 161(C), pages 56-61.
    2. Paul BELLEFLAMME & Nessrine OMRANI & Martin PEITZ, 2015. "The economics of crowdfunding platforms," LIDAM Reprints CORE 2793, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Dorfleitner, Gregor & Priberny, Christopher & Schuster, Stephanie & Stoiber, Johannes & Weber, Martina & de Castro, Ivan & Kammler, Julia, 2016. "Description-text related soft information in peer-to-peer lending – Evidence from two leading European platforms," Journal of Banking & Finance, Elsevier, vol. 64(C), pages 169-187.
    4. Andreas Dietrich & Reto Rey, 2020. "What Matters to Individual Investors: Price Setting in Online Auctions of P2P Consumer Loans," Papers 2003.11347, arXiv.org, revised Dec 2022.
    5. Zhenhua Wu & Lin Hu & Zhijie Lin & Yong Tan, 2021. "Competition and Distortion: A Theory of Information Bias on the Peer-to-Peer Lending Market," Information Systems Research, INFORMS, vol. 32(4), pages 1140-1154, December.
    6. Sirong Luo & Radha Mookerjee & Dengpan Liu, 2021. "The Effects of Auction‐based Pricing Mechanisms and Social Characteristics on Microloan Performance," Production and Operations Management, Production and Operations Management Society, vol. 30(2), pages 311-329, February.
    7. Soumajyoti Sarkar & Hamidreza Alvari, 2020. "Mitigating Bias in Online Microfinance Platforms: A Case Study on Kiva.org," Papers 2006.12995, arXiv.org.
    8. Xin Zhang & Christoph Bertsch & Isaiah Hull, 2017. "Monetary Normalizations and Consumer Credit: Evidence from Fed Liftoff and Online Lending," 2017 Meeting Papers 442, Society for Economic Dynamics.
    9. Elenchev, Ivelin & Vasilev, Aleksandar, 2017. "Forecasting the Success Rate of Reward Based Crowdfunding Projects," EconStor Preprints 170681, ZBW - Leibniz Information Centre for Economics.
    10. Jianrong Yao & Jiarui Chen & June Wei & Yuangao Chen & Shuiqing Yang, 2019. "The relationship between soft information in loan titles and online peer-to-peer lending: evidence from RenRenDai platform," Electronic Commerce Research, Springer, vol. 19(1), pages 111-129, March.
    11. Bertsch, Christoph & Hull, Isaiah & Zhang, Xin, 2016. "Fed Liftoff and Subprime Loan Interest Rates: Evidence from the Peer-to-Peer Lending Market," Working Paper Series 319, Sveriges Riksbank (Central Bank of Sweden).
    12. Xiong Xiong & Zhang Jin & Feng Xu & Jin Xi, 2016. "Review on Financial Innovations in Big Data Era," Journal of Systems Science and Information, De Gruyter, vol. 4(6), pages 489-504, December.
    13. Kai Lu & Zaiyan Wei & Tat Y. Chan, 2022. "Information Asymmetry Among Investors and Strategic Bidding in Peer-to-Peer Lending," Information Systems Research, INFORMS, vol. 33(3), pages 824-845, September.
    14. Bertsch, Christoph & Hull, Isaiah & Qi, Yingjie & Zhang, Xin, 2020. "Bank misconduct and online lending," Journal of Banking & Finance, Elsevier, vol. 116(C).

Articles

  1. Johannes Hörner & Nicolas S Lambert, 2021. "Motivational Ratings [Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(4), pages 1892-1935.
    See citations under working paper version above.
  2. Steven Callander & Nicolas S. Lambert & Niko Matouschek, 2021. "The Power of Referential Advice," Journal of Political Economy, University of Chicago Press, vol. 129(11), pages 3073-3140.

    Cited by:

    1. Benjamin Davies, 2022. "Why do experts give simple advice?," Papers 2209.11710, arXiv.org.
    2. Li, Run, 2022. "Full revelation of expertise before disclosure," Economics Letters, Elsevier, vol. 221(C).
    3. Christoph Carnehl & Johannes Schneider, 2021. "A Quest for Knowledge," Papers 2102.13434, arXiv.org, revised Aug 2023.

  3. Christopher P. Chambers & Nicolas S. Lambert, 2021. "Dynamic Belief Elicitation," Econometrica, Econometric Society, vol. 89(1), pages 375-414, January.

    Cited by:

    1. Bose, Subir & Daripa, Arup, 2023. "Eliciting second-order beliefs," Journal of Mathematical Economics, Elsevier, vol. 107(C).
    2. Edi Karni & Marie-Louise Vierø, 2020. "Comparative Incompleteness: Measurement, Behavioral Manifestations and Elicitation," Working Paper 1443, Economics Department, Queen's University.
    3. Jin Hyuk Choi & Kookyoung Han, 2023. "Delegation of information acquisition, information asymmetry, and outside option," International Journal of Game Theory, Springer;Game Theory Society, vol. 52(3), pages 833-860, September.
    4. Tsakas, Elias, 2020. "Robust scoring rules," Theoretical Economics, Econometric Society, vol. 15(3), July.
    5. J. Aislinn Bohren & Daniel N. Hauser, 2023. "Behavioral Foundations of Model Misspecification," PIER Working Paper Archive 23-007, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    6. Yingkai Li & Jonathan Libgober, 2023. "Optimal Scoring for Dynamic Information Acquisition," Papers 2310.19147, arXiv.org.
    7. Tsakas, Elias, 2018. "Robust scoring rules," Research Memorandum 023, Maastricht University, Graduate School of Business and Economics (GSBE).
    8. Karni, Edi, 2022. "A theory-based decision model," Journal of Economic Theory, Elsevier, vol. 201(C).

  4. Christopher P. Chambers & Federico Echenique & Nicolas S. Lambert, 2021. "Recovering Preferences From Finite Data," Econometrica, Econometric Society, vol. 89(4), pages 1633-1664, July.
    See citations under working paper version above.
  5. Lambert, Nicolas S. & Marple, Adrian & Shoham, Yoav, 2019. "On equilibria in games with imperfect recall," Games and Economic Behavior, Elsevier, vol. 113(C), pages 164-185.

    Cited by:

    1. Hillas, John & Kvasov, Dmitriy, 2020. "Backward induction in games without perfect recall," Games and Economic Behavior, Elsevier, vol. 124(C), pages 207-218.

  6. T. Renee Bowen & George Georgiadis & Nicolas S. Lambert, 2019. "Collective Choice in Dynamic Public Good Provision," American Economic Journal: Microeconomics, American Economic Association, vol. 11(1), pages 243-298, February.
    See citations under working paper version above.
  7. Chambers, Christopher P. & Healy, Paul J. & Lambert, Nicolas S., 2019. "Proper scoring rules with general preferences: A dual characterization of optimal reports," Games and Economic Behavior, Elsevier, vol. 117(C), pages 322-341.

    Cited by:

    1. Masaki Miyashita, 2024. "Identification of Information Structures in Bayesian Games," Papers 2403.11333, arXiv.org.

  8. Nicolas S. Lambert & Michael Ostrovsky & Mikhail Panov, 2018. "Strategic Trading in Informationally Complex Environments," Econometrica, Econometric Society, vol. 86(4), pages 1119-1157, July.
    See citations under working paper version above.
  9. Lambert, Nicolas S. & Langford, John & Wortman Vaughan, Jennifer & Chen, Yiling & Reeves, Daniel M. & Shoham, Yoav & Pennock, David M., 2015. "An axiomatic characterization of wagering mechanisms," Journal of Economic Theory, Elsevier, vol. 156(C), pages 389-416.

    Cited by:

    1. Rafael Frongillo, 2022. "Quantum Information Elicitation," Papers 2203.07469, arXiv.org.
    2. Robert L. Winkler & Yael Grushka-Cockayne & Kenneth C. Lichtendahl Jr. & Victor Richmond R. Jose, 2019. "Probability Forecasts and Their Combination: A Research Perspective," Decision Analysis, INFORMS, vol. 16(4), pages 239-260, December.
    3. Dirk Bergemann & Marco Ottaviani, 2021. "Information Markets and Nonmarkets," Cowles Foundation Discussion Papers 2296, Cowles Foundation for Research in Economics, Yale University.
    4. Blume, Lawrence & Easley, David & Kleinberg, Jon & Kleinberg, Robert & Tardos, Éva, 2015. "Introduction to computer science and economic theory," Journal of Economic Theory, Elsevier, vol. 156(C), pages 1-13.
    5. David Lagziel & Ehud Lehrer, 2021. "Transferable deposits as a screening mechanism," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 71(2), pages 483-504, March.

  10. Chen, Ning & Ghosh, Arpita & Lambert, Nicolas S., 2014. "Auctions for social lending: A theoretical analysis," Games and Economic Behavior, Elsevier, vol. 86(C), pages 367-391.
    See citations under working paper version above.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Rankings

This author is among the top 5% authors according to these criteria:
  1. Number of Journal Pages, Weighted by Simple Impact Factor
  2. Number of Journal Pages, Weighted by Recursive Impact Factor
  3. Number of Journal Pages, Weighted by Number of Authors and Simple Impact Factors
  4. Number of Journal Pages, Weighted by Number of Authors and Recursive Impact Factors

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 16 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-MIC: Microeconomics (8) 2015-03-05 2016-05-08 2016-07-23 2016-10-09 2016-11-06 2016-11-20 2018-09-10 2021-04-19. Author is listed
  2. NEP-CDM: Collective Decision-Making (3) 2016-07-23 2016-10-09 2016-11-06
  3. NEP-CTA: Contract Theory and Applications (2) 2011-05-30 2014-12-08
  4. NEP-DES: Economic Design (2) 2020-09-21 2021-04-19
  5. NEP-GTH: Game Theory (2) 2016-05-08 2018-09-10
  6. NEP-HRM: Human Capital and Human Resource Management (2) 2016-05-08 2016-10-09
  7. NEP-MFD: Microfinance (2) 2015-03-05 2015-03-05
  8. NEP-MST: Market Microstructure (2) 2014-12-08 2015-03-05
  9. NEP-PPM: Project, Program and Portfolio Management (2) 2016-07-23 2016-11-20
  10. NEP-UPT: Utility Models and Prospect Theory (2) 2018-08-20 2019-09-16
  11. NEP-CSE: Economics of Strategic Management (1) 2014-12-08
  12. NEP-DCM: Discrete Choice Models (1) 2019-09-16
  13. NEP-FOR: Forecasting (1) 2012-02-01
  14. NEP-ORE: Operations Research (1) 2018-09-10
  15. NEP-PKE: Post Keynesian Economics (1) 2016-05-08
  16. NEP-POL: Positive Political Economics (1) 2016-10-02
  17. NEP-PUB: Public Finance (1) 2016-11-20

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