IDEAS home Printed from https://ideas.repec.org/p/cbt/econwp/09-20.html
   My bibliography  Save this paper

Sharing a Risky Cake

Author

Abstract

Consider an n-person Nash Bargaining problem where players bargain over the division of a cake whose size is stochastic. In such a game, the players are not only bargaining for more cake, but they are also sharing risk. This paper examines and provides the solution to this problem and highlights a few special cases.

Suggested Citation

  • David R. Baqaee, 2009. "Sharing a Risky Cake," Working Papers in Economics 09/20, University of Canterbury, Department of Economics and Finance.
    • Handle: RePEc:cbt:econwp:09/20
    as

    Download full text from publisher

    File URL: https://repec.canterbury.ac.nz/cbt/econwp/0920.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. François Ortalo-Magné & Sven Rady, 2006. "Housing Market Dynamics: On the Contribution of Income Shocks and Credit Constraints ," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 73(2), pages 459-485.
    2. Orazio Attanasio & Laura Blow & Robert Hamilton & Andrew Leicester, 2005. "Consumption, house prices and expectations," Bank of England working papers 271, Bank of England.
    3. Grant Scobie & Trinh Le & John Gibson, 2007. "Housing in the Household Portfolio and Implications for Retirement Saving: Some Initial Finding from SOFIE," Treasury Working Paper Series 07/04, New Zealand Treasury.
    4. Emmanuel De Veirman & Ashley Dunstan, 2008. "How do Housing Wealth, Financial Wealth and Consumption Interact? Evidence from New Zealand," Reserve Bank of New Zealand Discussion Paper Series DP2008/05, Reserve Bank of New Zealand.
    Full references (including those not matched with items 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. Richard Fabling & Lynda Sanderson, 2010. "Exporting and performance: Market entry, expansion and destination characteristics," Reserve Bank of New Zealand Discussion Paper Series DP2010/07, Reserve Bank of New Zealand.
    2. Mark Smith, 2010. "Evaluating household expenditures and their relationship with house prices at the microeconomic level," Reserve Bank of New Zealand Discussion Paper Series DP2010/01, Reserve Bank of New Zealand.
    3. David Baqaee, 2010. "Intertemporal Choice: A Nash Bargaining Approach," Reserve Bank of New Zealand Discussion Paper Series DP2010/08, Reserve Bank of New Zealand.
    4. Richard Disney & Sarah Bridges & John Gathergood, 2006. "Housing Wealth and Household Indebtedness: Is there a Household 'Financial Accelerator'?," Working Papers 2006/12, Czech National Bank, Research and Statistics Department.
    5. Emmanuel De Veirman & Ashley Dunstan, 2012. "Debt Dynamics and the Relationship Between Consumption and Cyclical Wealth Changes," The Economic Record, The Economic Society of Australia, vol. 88(282), pages 330-340, September.
    6. Samya Beidas-Strom & Weicheng Lian & Ashwaq Maseeh, 2009. "The Housing Cycle in Emerging Middle Eastern Economies and its Macroeconomic Policy Implications," IMF Working Papers 2009/288, International Monetary Fund.
    7. de Wit, Erik R. & Englund, Peter & Francke, Marc K., 2013. "Price and transaction volume in the Dutch housing market," Regional Science and Urban Economics, Elsevier, vol. 43(2), pages 220-241.
    8. Danny Ben-Shahar & Jacob Warszawski, 2016. "Inequality in housing affordability: Measurement and estimation," Urban Studies, Urban Studies Journal Limited, vol. 53(6), pages 1178-1202, May.
    9. Kasper Kragh Balke & Markus Karlman & Karin Kinnerud, 2024. "Winners and Losers from Property Taxation," Working Papers 04/2024, Centre for Household Finance and Macroeconomic Research (HOFIMAR), BI Norwegian Business School.
    10. Philippe Bracke & Silvana Tenreyro, 2021. "History Dependence in the Housing Market," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(2), pages 420-443, April.
    11. Philippe Bracke, 2015. "House Prices and Rents: Microevidence from a Matched Data Set in Central London," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 43(2), pages 403-431, June.
    12. Chen, Pei-Fen & Chien, Mei-Se & Lee, Chien-Chiang, 2011. "Dynamic modeling of regional house price diffusion in Taiwan," Journal of Housing Economics, Elsevier, vol. 20(4), pages 315-332.
    13. Charles Ka Yui Leung & Joe Cho Yiu Ng, 2018. "Macro Aspects of Housing," GRU Working Paper Series GRU_2018_016, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    14. Danilo Liberati & Valerio Vacca, 2016. "With (more than) a little help from my bank. Loan-to-value ratios and access to mortgages in Italy," Questioni di Economia e Finanza (Occasional Papers) 315, Bank of Italy, Economic Research and International Relations Area.
    15. Janine Aron & John Muellbauer, 2006. "Housing Wealth, Credit Conditions and Consumption," CSAE Working Paper Series 2006-08, Centre for the Study of African Economies, University of Oxford.
    16. Ayuso, Juan & Restoy, Fernando, 2007. "House prices and rents in Spain: Does the discount factor matter?," Journal of Housing Economics, Elsevier, vol. 16(3-4), pages 291-308, November.
    17. repec:esx:essedp:712 is not listed on IDEAS
    18. Xian Zheng, 2015. "Expectation, volatility and liquidity in the housing market," Applied Economics, Taylor & Francis Journals, vol. 47(37), pages 4020-4035, August.
    19. Tommaso Gabrieli & Keith Pilbeam & Tianyu Wang, 2018. "Estimation of bubble dynamics in the Chinese real estate market: a State space model," International Economics and Economic Policy, Springer, vol. 15(2), pages 483-499, April.
    20. Stanimira Milcheva, 2012. "Monetary policy, financial intermediation, current account and housing market - how do they fit together?," ERES eres2012_151, European Real Estate Society (ERES).
    21. Sousa, Ricardo M., 2010. "Consumption, (dis)aggregate wealth, and asset returns," Journal of Empirical Finance, Elsevier, vol. 17(4), pages 606-622, September.

    More about this item

    Keywords

    Risk sharing; uncertainty; Nash bargaining;
    All these keywords.

    JEL classification:

    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:cbt:econwp:09/20. 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: Albert Yee (email available below). General contact details of provider: https://edirc.repec.org/data/decannz.html .

    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.