IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/43102.html
   My bibliography  Save this paper

Probability and social science : methodologial relationships between the two approaches ?

Author

Listed:
  • Courgeau, Daniel

Abstract

This work examines in depth the methodological relationships that probability and statistics have maintained with the social sciences. It covers both the history of thought and current methods. First, it examines in detail the history of the different paradigms and axioms for probability, from their emergence in the seventeenth century up to the most recent developments of the three major concepts: objective, subjective and logicist probability. It shows the statistical inference they permit, different applications to social sciences and the main problems they encounter. In the other side, from social sciences—particularly population sciences— to probability, it shows the different uses they made of probabilistic concepts during their history, from the seventeenth century, according to their paradigms: cross-sectional, longitudinal, event-history, hierarchical, contextual and multilevel approaches. While the ties may have seemed loose at times, they have more often been very close: some advances in probability were driven by the search for answers to questions raised by the social sciences; conversely, the latter have made progress thanks to advances in probability. This dual approach sheds new light on the historical development of the social sciences, probability and statistics, and on the enduring relevance of their links. It permits also to solve a number of methodological problems encountered all along their history.

Suggested Citation

  • Courgeau, Daniel, 2012. "Probability and social science : methodologial relationships between the two approaches ?," MPRA Paper 43102, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:43102
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/43102/1/MPRA_paper_43102.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Grether, David M & Plott, Charles R, 1979. "Economic Theory of Choice and the Preference Reversal Phenomenon," American Economic Review, American Economic Association, vol. 69(4), pages 623-638, September.
    2. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
    3. Bateman, Bradley W., 1987. "Keynes's Changing Conception of Probability," Economics and Philosophy, Cambridge University Press, vol. 3(1), pages 97-119, April.
    4. Ayton, Peter, 1997. "How to Be IncoherentandSeductive: Bookmakers' Odds and Support Theory," Organizational Behavior and Human Decision Processes, Elsevier, vol. 72(1), pages 99-115, October.
    5. Cribari-Neto, Francisco & Zarkos, Spyros G, 1999. "R: Yet Another Econometric Programming Environment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(3), pages 319-329, May-June.
    6. Milton Friedman & L. J. Savage, 1948. "The Utility Analysis of Choices Involving Risk," Journal of Political Economy, University of Chicago Press, vol. 56(4), pages 279-279.
    7. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    8. repec:cai:popine:popu_p1995_50n6_1517 is not listed on IDEAS
    9. Cartwright,Nancy, 2007. "Hunting Causes and Using Them," Cambridge Books, Cambridge University Press, number 9780521860819, September.
    10. David R. Bellhouse, 2011. "A new look at Halley's life table," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(3), pages 823-832, July.
    11. repec:cai:popine:popu_p1957_12n1_0142 is not listed on IDEAS
    12. repec:cai:popine:popu_p1991_46n1_0104 is not listed on IDEAS
    13. repec:cai:poeine:pope_1001_0117 is not listed on IDEAS
    14. Courgeau, Daniel, 2007. "Multilevel synthesis. From the group to the individual," MPRA Paper 43189, University Library of Munich, Germany.
    15. Henri Caussinus & Daniel Courgeau, 2010. "Estimer l'âge sans le mesurer en paléodémographie," Population (french edition), Institut National d'Études Démographiques (INED), vol. 65(1), pages 117-145.
    16. de Finetti, Bruno, 1985. "Cambridge Probability Theorists," The Manchester School of Economic & Social Studies, University of Manchester, vol. 53(4), pages 348-363, December.
    17. David Draper & James S. Hodges & Colin L. Mallows & Daryl Pregibon, 1993. "Exchangeability and Data Analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 156(1), pages 9-28, January.
    18. Daniel Ellsberg, 1961. "Risk, Ambiguity, and the Savage Axioms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 75(4), pages 643-669.
    19. Cartwright,Nancy, 2007. "Hunting Causes and Using Them," Cambridge Books, Cambridge University Press, number 9780521677981, September.
    20. Heckman, James J. & Singer, Burton, 1984. "Econometric duration analysis," Journal of Econometrics, Elsevier, vol. 24(1-2), pages 63-132.
    21. Hanson T. & Johnson W.O., 2002. "Modeling Regression Error With a Mixture of Polya Trees," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1020-1033, December.
    22. Hooten, Mevin B. & Wikle, Christopher K., 2010. "Statistical Agent-Based Models for Discrete Spatio-Temporal Systems," Journal of the American Statistical Association, American Statistical Association, vol. 105(489), pages 236-248.
    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. Jakub Bijak & Daniel Courgeau & Eric Silverman & Robert Franck, 2014. "Quantifying paradigm change in demography," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 30(32), pages 911-924.
    2. Jakub Bijak & Jason D. Hilton & Eric Silverman & Viet Dung Cao, 2013. "Reforging the Wedding Ring," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(27), pages 729-766.
    3. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    4. Frans Willekens, 2018. "Towards causal forecasting of international migration," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 16(1), pages 199-218.
    5. Jiaxin Shi & Christian Dudel & Christiaan Monden & Alyson A. van Raalte, 2022. "Inequalities in retirement lifespan in the United States," MPIDR Working Papers WP-2022-015, Max Planck Institute for Demographic Research, Rostock, Germany.
    6. Isaac Sasson, 2016. "Trends in Life Expectancy and Lifespan Variation by Educational Attainment: United States, 1990–2010," Demography, Springer;Population Association of America (PAA), vol. 53(2), pages 269-293, April.

    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. Laurent Denant-Boemont & Olivier L’Haridon, 2013. "La rationalité à l'épreuve de l'économie comportementale," Revue française d'économie, Presses de Sciences-Po, vol. 0(2), pages 35-89.
    2. Michał Lewandowski, 2017. "Prospect Theory Versus Expected Utility Theory: Assumptions, Predictions, Intuition and Modelling of Risk Attitudes," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 9(4), pages 275-321, December.
    3. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2013. "Salience and Consumer Choice," Journal of Political Economy, University of Chicago Press, vol. 121(5), pages 803-843.
    4. Jakusch, Sven Thorsten & Meyer, Steffen & Hackethal, Andreas, 2019. "Taming models of prospect theory in the wild? Estimation of Vlcek and Hens (2011)," SAFE Working Paper Series 146, Leibniz Institute for Financial Research SAFE, revised 2019.
    5. Enrico G. De Giorgi & David B. Brown & Melvyn Sim, 2010. "Dual representation of choice and aspirational preferences," University of St. Gallen Department of Economics working paper series 2010 2010-07, Department of Economics, University of St. Gallen.
    6. Wakker, Peter P. & Zank, Horst, 2002. "A simple preference foundation of cumulative prospect theory with power utility," European Economic Review, Elsevier, vol. 46(7), pages 1253-1271, July.
    7. Louis Lévy-Garboua, 1999. "Expected Utility and Cognitive Consistency," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-03674666, HAL.
    8. Trabelsi, Mohamed Ali, 2006. "Les nouveaux modèles de décision dans le risque et l’incertain : quel apport ? [The new models of decision under risk or uncertainty : What approach?]," MPRA Paper 25442, University Library of Munich, Germany.
    9. Pragati Hemrajani & Rajni & Rahul Dhiman, 2024. "Retail Investors’ Financial Risk Tolerance and Risk-taking Behaviour: The Role of Psychological Factors," FIIB Business Review, , vol. 13(1), pages 87-105, January.
    10. Vesna Prasnikar, 1993. "Binary Lottery Payoffs: Do They Control Risk Aversion?," Discussion Papers 1059, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    11. Bruno S. Frey & Reiner Eichenberger, 1989. "Should Social Scientists Care about Choice Anomalies?," Rationality and Society, , vol. 1(1), pages 101-122, July.
    12. Machina, Mark J., 1985. "Generalized Expected Utility Analysis And The Nature Of Observed Violations Of The Independence Axiom," Regional Research Projects > 1985: S-180 Annual Meeting, March 24-27, 1985, Charleston, South Carolina 271790, Regional Research Projects > S-180: An Economic Analysis of Risk Management Strategies for Agricultural Production Firms.
    13. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2012. "Salience Theory of Choice Under Risk," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(3), pages 1243-1285.
    14. David Hirshleifer, 2001. "Investor Psychology and Asset Pricing," Journal of Finance, American Finance Association, vol. 56(4), pages 1533-1597, August.
    15. Dillenberger, David & Segal, Uzi, 2017. "Skewed noise," Journal of Economic Theory, Elsevier, vol. 169(C), pages 344-364.
    16. Marc Willinger, 1990. "La rénovation des fondements de l'utilité et du risque," Revue Économique, Programme National Persée, vol. 41(1), pages 5-48.
    17. Valeri Zakamouline & Steen Koekebakker, 2009. "A Generalisation of the Mean†Variance Analysis," European Financial Management, European Financial Management Association, vol. 15(5), pages 934-970, November.
    18. Ilke Aydogan & Loïc Berger & Valentina Bosetti & Ning Liu, 2023. "Three Layers of Uncertainty," Journal of the European Economic Association, European Economic Association, vol. 21(5), pages 2209-2236.
    19. Mario GRAZIANO & Daniele SCHILIRÒ, 2011. "Rationality And Choices In Economics: Behavioral And Evolutionary Approaches," Theoretical and Practical Research in the Economic Fields, ASERS Publishing, vol. 2(2), pages 182-195.
    20. Stefanescu, Razvan & Dumitriu, Ramona, 2015. "Alegerea soluţiilor pentru expunerile faţă de risc [Choosing solutions to risk exposures]," MPRA Paper 65074, University Library of Munich, Germany.

    More about this item

    Keywords

    Probability; Population sciences; Philosophy of science; Social science;
    All these keywords.

    JEL classification:

    • B0 - Schools of Economic Thought and Methodology - - General
    • C0 - Mathematical and Quantitative Methods - - General
    • B30 - Schools of Economic Thought and Methodology - - History of Economic Thought: Individuals - - - General

    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:pra:mprapa:43102. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.