IDEAS home Printed from https://ideas.repec.org/p/fme/wpaper/29.html
   My bibliography  Save this paper

Normative Inference in Efficient Markets

Author

Listed:
  • Marek Weretka

    (University of Wisconsin-Madison
    Group for Research in Applied Economics (GRAPE))

Abstract

This paper develops a non-parametric method to infer social preferences over policies from prices of securities when agents have non-stationary heterogeneous preferences. We allow for arbitrary efficient risk-sharing mechanisms, formal and informal, and consider a large class of policies. We present a condition on the distribution of aggregate wealth that is necessary and sufficient for the revelation of social preferences over a universal set of policies. We also provide a weaker condition that is sufficient for revelation of social preferences for an arbitrary finite collection of policies.

Suggested Citation

  • Marek Weretka, 2018. "Normative Inference in Efficient Markets," GRAPE Working Papers 29, GRAPE Group for Research in Applied Economics.
    • Handle: RePEc:fme:wpaper:29
    as

    Download full text from publisher

    File URL: http://grape.org.pl/WP/29_Weretka_website.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. De Weerdt, Joachim & Dercon, Stefan, 2006. "Risk-sharing networks and insurance against illness," Journal of Development Economics, Elsevier, vol. 81(2), pages 337-356, December.
    2. Geanakoplos, J. D. & Polemarchakis, H. M., 1990. "Observability and optimality," Journal of Mathematical Economics, Elsevier, vol. 19(1-2), pages 153-165.
    3. Attila Ambrus & Markus Mobius & Adam Szeidl, 2014. "Consumption Risk-Sharing in Social Networks," American Economic Review, American Economic Association, vol. 104(1), pages 149-182, January.
    4. Philip Dybvig & Heraklis Polemarchakis, 1981. "Recovering Cardinal Utility," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 48(1), pages 159-166.
    5. Kubler, F. & Chiappori, P. -A. & Ekeland, I. & Polemarchakis, H. M., 2002. "The Identification of Preferences from Equilibrium Prices under Uncertainty," Journal of Economic Theory, Elsevier, vol. 102(2), pages 403-420, February.
    6. Orazio Attanasio & Abigail Barr & Juan Camilo Cardenas & Garance Genicot & Costas Meghir, 2012. "Risk Pooling, Risk Preferences, and Social Networks," American Economic Journal: Applied Economics, American Economic Association, vol. 4(2), pages 134-167, April.
    7. Fafchamps, Marcel & Lund, Susan, 2003. "Risk-sharing networks in rural Philippines," Journal of Development Economics, Elsevier, vol. 71(2), pages 261-287, August.
    8. Fernando Alvarez & Urban J. Jermann, 2004. "Using Asset Prices to Measure the Cost of Business Cycles," Journal of Political Economy, University of Chicago Press, vol. 112(6), pages 1223-1256, December.
    9. Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762, December.
    10. Maurizio Mazzocco, 2007. "Household Intertemporal Behaviour: A Collective Characterization and a Test of Commitment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 74(3), pages 857-895.
    11. repec:dau:papers:123456789/13505 is not listed on IDEAS
    12. Breeden, Douglas T & Litzenberger, Robert H, 1978. "Prices of State-contingent Claims Implicit in Option Prices," The Journal of Business, University of Chicago Press, vol. 51(4), pages 621-651, October.
    13. Orazio Attanasio & Abigail Barr & Juan Camilo Cardenas & Garance Genicot & Costas Meghir, 2012. "Risk Pooling, Risk Preferences, and Social Networks," American Economic Journal: Applied Economics, American Economic Association, vol. 4(2), pages 134-67, April.
    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. Xiao Yu Wang, 2014. "Risk Sorting, Portfolio Choice, and Endogenous Informal Insurance," NBER Working Papers 20429, National Bureau of Economic Research, Inc.
    2. Ethan Ligon & Laura Schechter, 2020. "Structural Experimentation to Distinguish between Models of Risk Sharing with Frictions in Rural Paraguay," Economic Development and Cultural Change, University of Chicago Press, vol. 69(1), pages 1-50.
    3. Islam, Asad & Nguyen, Chau, 2018. "Do networks matter after a natural disaster? A study of resource sharing within an informal network after Cyclone Aila," Journal of Environmental Economics and Management, Elsevier, vol. 90(C), pages 249-268.
    4. Attila Ambrus & Markus Mobius & Adam Szeidl, 2014. "Consumption Risk-Sharing in Social Networks," American Economic Review, American Economic Association, vol. 104(1), pages 149-182, January.
    5. Christian Cox & Akanksha Negi & Digvijay Negi, 2022. "Risk-Sharing Tests with Network Transaction Costs," Monash Econometrics and Business Statistics Working Papers 5/22, Monash University, Department of Econometrics and Business Statistics.
    6. Heath Henderson & Arnob Alam, 2022. "The structure of risk-sharing networks," Empirical Economics, Springer, vol. 62(2), pages 853-886, February.
    7. Jain, Prachi, 2020. "Imperfect monitoring and informal insurance: The role of social ties," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 241-256.
    8. Daniela Di Cagno & Emanuela Sciubba & Marco Spallone, 2012. "Choosing a gambling partner: testing a model of mutual insurance in the lab," Theory and Decision, Springer, vol. 72(4), pages 537-571, April.
    9. Kubler, F. & Chiappori, P. -A. & Ekeland, I. & Polemarchakis, H. M., 2002. "The Identification of Preferences from Equilibrium Prices under Uncertainty," Journal of Economic Theory, Elsevier, vol. 102(2), pages 403-420, February.
    10. Belhaj, Mohamed & Deroïan, Frédéric, 2012. "Risk taking under heterogenous revenue sharing," Journal of Development Economics, Elsevier, vol. 98(2), pages 192-202.
    11. Jackson, Matthew O. & Zenou, Yves, 2015. "Games on Networks," Handbook of Game Theory with Economic Applications,, Elsevier.
    12. Orazio Attanasio & Abigail Barr & Juan Camilo Cardenas & Garance Genicot & Costas Meghir, 2012. "Risk Pooling, Risk Preferences, and Social Networks," American Economic Journal: Applied Economics, American Economic Association, vol. 4(2), pages 134-167, April.
    13. Dorner, Matthias & Harhoff, Dietmar & Hinz, Tina & Hoisl, Karin & Bender, Stefan, 2016. "Social ties for labor market access - Lessons from the migration of East German inventors," IAB-Discussion Paper 201641, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    14. Gulesci,Selim, 2020. "Poverty Alleviation and Interhousehold Transfers : Evidence from BRAC's Graduation Program in Bangladesh," Policy Research Working Paper Series 9467, The World Bank.
    15. Jaramillo, Fernando & Kempf, Hubert & Moizeau, Fabien, 2015. "Heterogeneity and the formation of risk-sharing coalitions," Journal of Development Economics, Elsevier, vol. 114(C), pages 79-96.
    16. Mendola, Mariapia, 2017. "International migration and informal social protection in rural Mozambique," Research in Economics, Elsevier, vol. 71(2), pages 282-290.
    17. Lee Cronk & Athena Aktipis & Steven Gazzillo & Dave White & Amber Wutich & Barry Sopher, 2019. "Common knowledge promotes risk pooling in an experimental economic game," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-15, August.
    18. F. Pericoli & E. Pierucci & L. Ventura, 2015. "The impact of social capital on consumption insurance and income volatility in the UK: evidence from the British Household Panel Survey," Review of Economics of the Household, Springer, vol. 13(2), pages 269-295, June.
    19. Bryan S. Graham, 2019. "Network Data," Papers 1912.06346, arXiv.org.
    20. Harhoff, Dietmar & Dorner, Matthias & Hinz, Tina & Hoisl, Karin & Bender, Stefan, 2016. "Social Ties for Labor Market Access – Lessons from the Migration of East German Inventors," CEPR Discussion Papers 11601, C.E.P.R. Discussion Papers.

    More about this item

    Keywords

    Collateral Constraints; Adaptive Learning; Financial Shocks; Great Recession;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

    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:fme:wpaper:29. 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: Jan Hagemejer (email available below). General contact details of provider: https://edirc.repec.org/data/grauwpl.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.