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PJ Lamberson

Personal Details

First Name:Pj
Middle Name:
Last Name:Lamberson
Suffix:
RePEc Short-ID:pla738
http://social-dynamics.org

Affiliation

(50%) Kellogg Graduate School of Management
Northwestern University

Evanston, Illinois (United States)
http://www.kellogg.northwestern.edu/
RePEc:edi:kgsnwus (more details at EDIRC)

(50%) Northwestern Institute on Complex Systems (NICO)

http://www.nico.northwestern.edu
United States, Evanston, IL

Research output

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Jump to: Articles

Articles

  1. James E Breck & Carl P Simon & Edward S Rutherford & Bobbi S Low & P J Lamberson & Mark W Rogers, 2020. "The geometry of reaction norms yields insights on classical fitness functions for Great Lakes salmon," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-35, March.
  2. P. J. Lamberson, 2018. "Approximating individual interactions in compartmental system dynamics models," System Dynamics Review, System Dynamics Society, vol. 34(1-2), pages 284-326, January.
  3. P.J. Lamberson & Scott E. Page, 2018. "First mover or higher quality? Optimal product strategy in markets with positive feedbacks," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 27(1), pages 40-52, March.
  4. P.J. Lamberson, 2016. "Winner-take-all or long tail? A behavioral model of markets with increasing returns," System Dynamics Review, System Dynamics Society, vol. 32(3-4), pages 233-260, July.
  5. Zhang, J. & Tong, L. & Lamberson, P.J. & Durazo-Arvizu, R.A. & Luke, A. & Shoham, D.A., 2015. "Leveraging social influence to address overweight and obesity using agent-based models: The role of adolescent social networks," Social Science & Medicine, Elsevier, vol. 125(C), pages 203-213.
  6. P. J. Lamberson & Scott E. Page, 2012. "Optimal Forecasting Groups," Management Science, INFORMS, vol. 58(4), pages 805-810, April.
  7. Lamberson, P. J. & Page, Scott E., 2012. "Tipping Points," Quarterly Journal of Political Science, now publishers, vol. 7(2), pages 175-208, April.
  8. Lamberson, P.J. & Page, Scott E., 2012. "The effect of feedback consistency on success in markets with positive feedbacks," Economics Letters, Elsevier, vol. 114(3), pages 259-261.
  9. Lamberson PJ, 2010. "Social Learning in Social Networks," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 10(1), pages 1-33, August.

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.

Articles

  1. P.J. Lamberson & Scott E. Page, 2018. "First mover or higher quality? Optimal product strategy in markets with positive feedbacks," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 27(1), pages 40-52, March.

    Cited by:

    1. Tolotti, Marco & Yepez, Jorge, 2020. "Hotelling-Bertrand duopoly competition under firm-specific network effects," Journal of Economic Behavior & Organization, Elsevier, vol. 176(C), pages 105-128.
    2. Jay Pil Choi & Christodoulos Stefanadis, 2022. "Network Externalities, Dominant Value Margins, And Equilibrium Uniqueness," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(4), pages 1805-1827, November.
    3. P. J. Lamberson, 2018. "Approximating individual interactions in compartmental system dynamics models," System Dynamics Review, System Dynamics Society, vol. 34(1-2), pages 284-326, January.
    4. Chang, Sungyong & Park, Sanghyun, 2021. "Borders of Network Effects and Early Internationalization as a Latecomer Strategy," SocArXiv d74he, Center for Open Science.

  2. P.J. Lamberson, 2016. "Winner-take-all or long tail? A behavioral model of markets with increasing returns," System Dynamics Review, System Dynamics Society, vol. 32(3-4), pages 233-260, July.

    Cited by:

    1. Navid Ghaffarzadegan & Richard C. Larson, 2018. "SD meets OR: a new synergy to address policy problems," System Dynamics Review, System Dynamics Society, vol. 34(1-2), pages 327-353, January.
    2. John Sterman, 2018. "System dynamics at sixty: the path forward," System Dynamics Review, System Dynamics Society, vol. 34(1-2), pages 5-47, January.
    3. P. J. Lamberson, 2018. "Approximating individual interactions in compartmental system dynamics models," System Dynamics Review, System Dynamics Society, vol. 34(1-2), pages 284-326, January.
    4. Lozić, Joško & Milković, Marin & Fotova Čiković, Katerina, 2022. "The Impact Of The Long Tail Economy On The Business Result Of The Digital Platform: The Case Of Spotify And Match Group," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 13(1), pages 43-55.

  3. Zhang, J. & Tong, L. & Lamberson, P.J. & Durazo-Arvizu, R.A. & Luke, A. & Shoham, D.A., 2015. "Leveraging social influence to address overweight and obesity using agent-based models: The role of adolescent social networks," Social Science & Medicine, Elsevier, vol. 125(C), pages 203-213.

    Cited by:

    1. Yingru Li & Ting Du & Jian Peng, 2018. "Understanding Out-of-Home Food Environment, Family Restaurant Choices, and Childhood Obesity with an Agent-Based Huff Model," Sustainability, MDPI, vol. 10(5), pages 1-15, May.
    2. Mooney, Stephen J. & El-Sayed, Abdulrahman M., 2016. "Stigma and the etiology of depression among the obese: An agent-based exploration," Social Science & Medicine, Elsevier, vol. 148(C), pages 1-7.
    3. Tarek Abdelzaher & Jiawei Han & Yifan Hao & Andong Jing & Dongxin Liu & Shengzhong Liu & Hoang Hai Nguyen & David M. Nicol & Huajie Shao & Tianshi Wang & Shuochao Yao & Yu Zhang & Omar Malik & Stephen, 2020. "Multiscale online media simulation with SocialCube," Computational and Mathematical Organization Theory, Springer, vol. 26(2), pages 145-174, June.
    4. McMillan, Cassie & Schaefer, David R., 2021. "Comparing targeting strategies for network-based adolescent drinking interventions: A simulation approach," Social Science & Medicine, Elsevier, vol. 282(C).
    5. Wen Deng & Yi Yang, 2021. "Cross-Platform Comparative Study of Public Concern on Social Media during the COVID-19 Pandemic: An Empirical Study Based on Twitter and Weibo," IJERPH, MDPI, vol. 18(12), pages 1-20, June.
    6. Agovino, Massimiliano & Crociata, Alessandro & Sacco, Pier Luigi, 2019. "Proximity effects in obesity rates in the US: A Spatial Markov Chains approach," Social Science & Medicine, Elsevier, vol. 220(C), pages 301-311.
    7. Lim, Jaeun & Cornwell, Benjamin, 2023. "Social network-structural position and obesity: Evidence from a national study," Social Science & Medicine, Elsevier, vol. 329(C).
    8. Aronson, Brian, 2016. "Peer influence as a potential magnifier of ADHD diagnosis," Social Science & Medicine, Elsevier, vol. 168(C), pages 111-119.

  4. P. J. Lamberson & Scott E. Page, 2012. "Optimal Forecasting Groups," Management Science, INFORMS, vol. 58(4), pages 805-810, April.

    Cited by:

    1. Economo, Evan & Hong, Lu & Page, Scott E., 2016. "Social structure, endogenous diversity, and collective accuracy," Journal of Economic Behavior & Organization, Elsevier, vol. 125(C), pages 212-231.
    2. Hoda Heidari & Solon Barocas & Jon Kleinberg & Karen Levy, 2023. "Informational Diversity and Affinity Bias in Team Growth Dynamics," Papers 2301.12091, arXiv.org.
    3. George Athanasopoulos & Rob J Hyndman & Nikolaos Kourentzes & Fotios Petropoulos, 2015. "Forecasting with Temporal Hierarchies," Monash Econometrics and Business Statistics Working Papers 16/15, Monash University, Department of Econometrics and Business Statistics.
    4. Muye Chen & Michel Regenwetter & Clintin P. Davis-Stober, 2021. "Collective Choice May Tell Nothing About Anyone’s Individual Preferences," Decision Analysis, INFORMS, vol. 18(1), pages 1-24, March.
    5. Clintin P. Davis-Stober & David V. Budescu & Stephen B. Broomell & Jason Dana, 2015. "The Composition of Optimally Wise Crowds," Decision Analysis, INFORMS, vol. 12(3), pages 130-143.
    6. Dai, Min & Jia, Yanwei & Kou, Steven, 2021. "The wisdom of the crowd and prediction markets," Journal of Econometrics, Elsevier, vol. 222(1), pages 561-578.
    7. Lisheng He & Pantelis P. Analytis & Sudeep Bhatia, 2022. "The Wisdom of Model Crowds," Management Science, INFORMS, vol. 68(5), pages 3635-3659, May.
    8. Philipp Ecken & Richard Pibernik, 2016. "Hit or Miss: What Leads Experts to Take Advice for Long-Term Judgments?," Management Science, INFORMS, vol. 62(7), pages 2002-2021, July.
    9. 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.
    10. Jaspersen, Johannes G., 2022. "Convex combinations in judgment aggregation," European Journal of Operational Research, Elsevier, vol. 299(2), pages 780-794.
    11. Zhenni Ding & Huayou Chen & Ligang Zhou, 2023. "Using shapely values to define subgroups of forecasts for combining," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 905-923, July.
    12. Peeters, Thomas, 2018. "Testing the Wisdom of Crowds in the field: Transfermarkt valuations and international soccer results," International Journal of Forecasting, Elsevier, vol. 34(1), pages 17-29.
    13. Leslie Paul Thiele, 2020. "Integrating political and technological uncertainty into robust climate policy," Climatic Change, Springer, vol. 163(1), pages 521-538, November.
    14. Coates, Dennis & Parshakov, Petr, 2022. "The wisdom of crowds and transfer market values," European Journal of Operational Research, Elsevier, vol. 301(2), pages 523-534.
    15. Joshua Becker & Abdullah Almaatouq & EmH{o}ke-'Agnes Horv'at, 2020. "Network Structures of Collective Intelligence: The Contingent Benefits of Group Discussion," Papers 2009.07202, arXiv.org, revised Mar 2021.
    16. Hélène Landemore & Scott E. Page, 2015. "Deliberation and disagreement," Politics, Philosophy & Economics, , vol. 14(3), pages 229-254, August.
    17. Förster, Bernadette & von der Gracht, Heiko, 2014. "Assessing Delphi panel composition for strategic foresight — A comparison of panels based on company-internal and external participants," Technological Forecasting and Social Change, Elsevier, vol. 84(C), pages 215-229.

  5. Lamberson, P. J. & Page, Scott E., 2012. "Tipping Points," Quarterly Journal of Political Science, now publishers, vol. 7(2), pages 175-208, April.

    Cited by:

    1. Ong C. & Witte K. de, 2013. "The influence of ethnic segregation and school mobility in primary education on high school dropout : evidence from regression discontinuity at a contextual tipping point," MERIT Working Papers 2013-064, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    2. Annie Tubadji & Peter Nijkamp, 2019. "Cultural attitudes, economic shocks and political radicalization," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 62(3), pages 529-562, June.
    3. Giovanni Dosi & Marcelo C. Pereira & Andrea Roventini & Maria Enrica Virgillito, 2017. "Causes and Consequences of Hysteresis: Aggregate Demand, Productivity and Employment," LEM Papers Series 2017/07, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Sophie Urmetzer & Michael P. Schlaile & Kristina B. Bogner & Matthias Mueller & Andreas Pyka, 2018. "Exploring the Dedicated Knowledge Base of a Transformation towards a Sustainable Bioeconomy," Sustainability, MDPI, vol. 10(6), pages 1-22, May.
    5. Annie Tubadji & Peter Nijkamp, 2016. "Six degrees of cultural diversity and R&D output efficiency," Letters in Spatial and Resource Sciences, Springer, vol. 9(3), pages 247-264, October.

  6. Lamberson, P.J. & Page, Scott E., 2012. "The effect of feedback consistency on success in markets with positive feedbacks," Economics Letters, Elsevier, vol. 114(3), pages 259-261.

    Cited by:

    1. P.J. Lamberson & Scott E. Page, 2018. "First mover or higher quality? Optimal product strategy in markets with positive feedbacks," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 27(1), pages 40-52, March.

  7. Lamberson PJ, 2010. "Social Learning in Social Networks," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 10(1), pages 1-33, August.

    Cited by:

    1. Michel Grabisch & Agnieszka Rusinowska & Xavier Venel, 2019. "Diffusion in countably infinite networks," Post-Print halshs-02340011, HAL.
    2. Xiaofang Wang & Yaoyao Yang & Jun Zhuang, 2023. "Pricing Decisions with Social Interactions: A Game-Theoretic Model," Decision Analysis, INFORMS, vol. 20(1), pages 40-54, March.
    3. Gallo, Edoardo, 2014. "Social learning by chit-chat," Journal of Economic Theory, Elsevier, vol. 153(C), pages 313-343.
    4. Jackson, Matthew O. & Rogers, Brian & Zenou, Yves, 2016. "The Economic Consequences of Social Network Structure," Working Paper Series 1116, Research Institute of Industrial Economics.
    5. Anna Folke Larsen, 2019. "When knowledgeable neighbors also share seedlings: diffusion of banana cultivation in Tanzania," Agricultural Economics, International Association of Agricultural Economists, vol. 50(1), pages 51-65, January.
    6. Mario Eboli, 2015. "Diffusion of innovations in dense and sparse networks," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1559-1571, July.
    7. Gengjun Yao & Jingwei Wang & Baoguo Cui & Yunlong Ma, 2022. "Quantifying effects of tasks on group performance in social learning," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-11, December.

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