IDEAS home Printed from https://ideas.repec.org/a/eee/dyncon/v23y1998i2p171-189.html
   My bibliography  Save this article

The dynamics of locally adaptive parties under spatial voting

Author

Listed:
  • Miller, J. H.
  • Stadler, P. F.

Abstract

No abstract is available for this item.

Suggested Citation

  • Miller, J. H. & Stadler, P. F., 1998. "The dynamics of locally adaptive parties under spatial voting," Journal of Economic Dynamics and Control, Elsevier, vol. 23(2), pages 171-189, September.
    • Handle: RePEc:eee:dyncon:v:23:y:1998:i:2:p:171-189
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165-1889(98)00004-9
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Coughlin, Peter & Nitzan, Shmuel, 1981. "Directional and local electoral equilibria with probabilistic voting," Journal of Economic Theory, Elsevier, vol. 24(2), pages 226-239, April.
    2. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    3. Larry Samuelson, 1984. "Electoral equilibria with restricted strategies," Public Choice, Springer, vol. 43(3), pages 307-327, January.
    4. Kollman, Ken & Miller, John H. & Page, Scott E., 1992. "Adaptive Parties in Spatial Elections," American Political Science Review, Cambridge University Press, vol. 86(4), pages 929-937, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bärbel M. R. Stadler, 1998. "Abstention Causes Bifurcations in Two-Party Voting Dynamics," Working Papers 98-08-072, Santa Fe Institute.
    2. Tomas Klos, 1999. "Governance and Matching," Computing in Economics and Finance 1999 341, Society for Computational Economics.
    3. Baerbel M. R. Stadler, 2000. "Abstention in Dynamical Models of Spatial Voting," Working Papers 00-07-040, Santa Fe Institute.
    4. repec:dgr:rugsom:99b41 is not listed on IDEAS

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bärbel M. R. Stadler, 1998. "Abstention Causes Bifurcations in Two-Party Voting Dynamics," Working Papers 98-08-072, Santa Fe Institute.
    2. Sacha Bourgeois-Gironde & João V. Ferreira, 2020. "Conflicted voters: A spatial voting model with multiple party identifications," Post-Print hal-02909682, HAL.
    3. Marimon, R. & McGraltan, E., 1993. "On Adaptative Learning in Strategic Games," Papers 190, Cambridge - Risk, Information & Quantity Signals.
    4. Larry Samuelson, 1987. "A test of the revealed-preference phenomenon in congressional elections," Public Choice, Springer, vol. 54(2), pages 141-169, January.
    5. Qianru Chen & Hualin Xie & Qunli Zhai, 2022. "Management Policy of Farmers’ Cultivated Land Abandonment Behavior Based on Evolutionary Game and Simulation Analysis," Land, MDPI, vol. 11(3), pages 1-23, February.
    6. Lichi Zhang & Yanyan Jiang & Junmin Wu, 2022. "Evolutionary Game Analysis of Government and Residents’ Participation in Waste Separation Based on Cumulative Prospect Theory," IJERPH, MDPI, vol. 19(21), pages 1-16, November.
    7. Donald Wittman, 1984. "Multi-candidate equilibria," Public Choice, Springer, vol. 43(3), pages 287-291, January.
    8. Gu, Tianqi & Xu, Weiping & Liang, Hua & He, Qing & Zheng, Nan, 2024. "School bus transport service strategies’ policy-making mechanism – An evolutionary game approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 182(C).
    9. Wang Mingbao & Du Zhiping & Duan Hong, 2017. "Study on Participant Behavior Game of Electronic Products Reverse Supply Chain Based on ECP," Journal of Systems Science and Information, De Gruyter, vol. 5(5), pages 411-434, October.
    10. Sun, Yong & Liu, Baoyin & Sun, Zhongrui & Yang, Ruijia, 2023. "Inter-regional cooperation in the transfers of energy-intensive industry: An evolutionary game approach," Energy, Elsevier, vol. 282(C).
    11. Steven N. Durlauf, 1996. "Statistical Mechanics Approaches to Socioeconomic Behavior," NBER Technical Working Papers 0203, National Bureau of Economic Research, Inc.
    12. Jialu Li & Meiying Yang & Wei Xing & Xuan Zhao, 2018. "Information Acquisition Behavior: An Evolutionary Game Theory Perspective," Dynamic Games and Applications, Springer, vol. 8(2), pages 434-455, June.
    13. Hongxia Sun & Yao Wan & Huirong Lv, 2020. "System Dynamics Model for the Evolutionary Behaviour of Government Enterprises and Consumers in China’s New Energy Vehicle Market," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    14. Kollman, Ken & Miller, John H. & Page, Scott E., 1997. "Landscape formation in a spatial voting model," Economics Letters, Elsevier, vol. 55(1), pages 121-130, August.
    15. Song Yang & Jincai Zhuang & Aifeng Wang & Yancai Zhang, 2019. "Evolutionary Game Analysis of Chinese Food Quality considering Effort Levels," Complexity, Hindawi, vol. 2019, pages 1-13, November.
    16. Bergstrom, Theodore C & Stark, Oded, 1993. "How Altruism Can Prevail in an Evolutionary Environment," American Economic Review, American Economic Association, vol. 83(2), pages 149-155, May.
    17. Yinglin Wang & Leqi Chen & Jiaxin Zhuang, 2024. "Research on ESG Investment Efficiency Regulation from the Perspective of Reciprocity and Evolutionary Game," Computational Economics, Springer;Society for Computational Economics, vol. 64(3), pages 1665-1695, September.
    18. Hopkins, Ed, 1999. "Learning, Matching, and Aggregation," Games and Economic Behavior, Elsevier, vol. 26(1), pages 79-110, January.
    19. Guohui Song & Yongbin Wang, 2021. "Mainstream Value Information Push Strategy on Chinese Aggregation News Platform: Evolution, Modelling and Analysis," Sustainability, MDPI, vol. 13(19), pages 1-17, October.
    20. Joshua M. Epstein, 2007. "Agent-Based Computational Models and Generative Social Science," Introductory Chapters, in: Generative Social Science Studies in Agent-Based Computational Modeling, Princeton University Press.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:dyncon:v:23:y:1998:i:2:p:171-189. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jedc .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.