IDEAS home Printed from https://ideas.repec.org/a/rei/ecoins/v16y2014i30p13-24.html

Some searches may not work properly. We apologize for the inconvenience.

   My bibliography  Save this article

El mapa no es el territorio: un ensayo sobre el estado de la economía

Author

Listed:
  • John Kay

Abstract

Gran parte de la economía moderna, incluidos en particular los paradigmas dominantes en macroeconomía y economía financiera, supone que hay un modelo “verdadero” del mundo, el cual se puede deducir de un conjunto de axiomas basados en la elección racional. Pero en realidad no hay, ni puede haber, un modelo que describa “el mundo tal como es realmente”. Los modelos son herramientas útiles en economía, e incluso indispensables, pero son necesariamente parciales, provisionales y específicos al contexto. El enfoque de la economía debe ser pluralista, es decir, debe usar el razonamiento inductivo y el razonamiento deductivo. El mapa no es el territorio.

Suggested Citation

  • John Kay, 2014. "El mapa no es el territorio: un ensayo sobre el estado de la economía," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 16(30), pages 13-24, January-J.
  • Handle: RePEc:rei:ecoins:v:16:y:2014:i:30:p:13-24
    as

    Download full text from publisher

    File URL: http://www.uexternado.edu.co/facecono/ecoinstitucional/workingpapers/jkay30.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Cartwright,Nancy, 2007. "Hunting Causes and Using Them," Cambridge Books, Cambridge University Press, number 9780521860819, November.
    3. Becker, Gary S., 1978. "The Economic Approach to Human Behavior," University of Chicago Press Economics Books, University of Chicago Press, number 9780226041124, December.
    4. Cartwright,Nancy, 2007. "Hunting Causes and Using Them," Cambridge Books, Cambridge University Press, number 9780521677981, November.
    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. Courgeau, Daniel, 2012. "Probability and social science : methodologial relationships between the two approaches ?," MPRA Paper 43102, University Library of Munich, Germany.
    2. Andrew Gelman & Guido Imbens, 2013. "Why ask Why? Forward Causal Inference and Reverse Causal Questions," NBER Working Papers 19614, National Bureau of Economic Research, Inc.
    3. Mouchart, Michel & Russo, Federica & Wunsch, Guillaume, 2011. "Inferring causal relations by modelling structures : Article de recherche," LIDAM Discussion Papers ISBA 2011007, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    4. Galbács Peter, 2021. "What did it take for Lucas to set up ‘useful’ analogue systems in monetary business cycle theory?," Economics and Business Review, Sciendo, vol. 7(3), pages 61-82, September.
    5. Padró, R. & Marco, I. & Font, C. & Tello, E., 2019. "Beyond Chayanov: A sustainable agroecological farm reproductive analysis of peasant domestic units and rural communities (Sentmenat; Catalonia, 1860)," Ecological Economics, Elsevier, vol. 160(C), pages 227-239.
    6. Deirdre Nansen McCloskey, 2013. "Why Economics cannot Explain the Modern World," The Economic Record, The Economic Society of Australia, vol. 89, pages 8-22, June.
    7. Hünermund Paul & Louw Beyers & Caspi Itamar, 2023. "Double machine learning and automated confounder selection: A cautionary tale," Journal of Causal Inference, De Gruyter, vol. 11(1), pages 1-12, January.
    8. Magdalena Osinska, 2011. "On the Interpretation of Causality in Granger’s Sense," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 11, pages 129-140.
    9. Kieran P. Donaghy, 2022. "A Circular Economy Model of Economic Growth with Circular and Cumulative Causation and Trade," Networks and Spatial Economics, Springer, vol. 22(3), pages 461-488, September.
    10. Kieran P. Donaghy, 2014. "Walter Isard’s Evolving Sense of the Scientific in Regional Science," International Regional Science Review, , vol. 37(1), pages 78-95, January.
    11. Gil, Olga, 2022. "Accountability in Artificial Intelligence," SocArXiv wckuf, Center for Open Science.
    12. Li, Sufang & Tu, Dalun & Zeng, Yan & Gong, Chenggang & Yuan, Di, 2022. "Does geopolitical risk matter in crude oil and stock markets? Evidence from disaggregated data," Energy Economics, Elsevier, vol. 113(C).
    13. George F. DeMartino, 2021. "The specter of irreparable ignorance: counterfactuals and causality in economics," Review of Evolutionary Political Economy, Springer, vol. 2(2), pages 253-276, July.
    14. Alrik Thiem, 2022. "Beyond the Facts: Limited Empirical Diversity and Causal Inference in Qualitative Comparative Analysis," Sociological Methods & Research, , vol. 51(2), pages 527-540, May.
    15. Krauss, Alexander, 2021. "Assessing the overall validity of randomised controlled trials," LSE Research Online Documents on Economics 112576, London School of Economics and Political Science, LSE Library.
    16. Hakan Seckinelgin, 2007. "Forum 2007," Development and Change, International Institute of Social Studies, vol. 38(6), pages 1219-1234, November.
    17. William Easterly, 2009. "Can the West Save Africa?," Journal of Economic Literature, American Economic Association, vol. 47(2), pages 373-447, June.
    18. Michael J. Zyphur & Dean C. Pierides, 2017. "Is Quantitative Research Ethical? Tools for Ethically Practicing, Evaluating, and Using Quantitative Research," Journal of Business Ethics, Springer, vol. 143(1), pages 1-16, June.
    19. Łukasz Hardt, 2018. "Prawa ceteris rectis w ekonomii," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 1, pages 9-31.
    20. Angus S. Deaton, 2009. "Instruments of development: Randomization in the tropics, and the search for the elusive keys to economic development," NBER Working Papers 14690, National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    macroeconomía; razonamiento inductivo; elección racional;
    All these keywords.

    JEL classification:

    • E00 - Macroeconomics and Monetary Economics - - General - - - General
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications

    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:rei:ecoins:v:16:y:2014:i:30:p:13-24. 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: Paola Rodríguez (email available below). General contact details of provider: https://edirc.repec.org/data/feextco.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.