IDEAS home Printed from https://ideas.repec.org/p/ehb/komart/6.html
   My bibliography  Save this paper

On the Nature of the Malthusian Threat in the Eighteenth Century

Author

Listed:
  • John Komlos

    (The Institute of Economic History, Department of Economics, University of Munich)

Abstract

Argues that on the basis of evidence of British soldiers there was a threat of a Malthusian crisis on the eve of the Industrial Revolution.

Suggested Citation

  • John Komlos, "undated". "On the Nature of the Malthusian Threat in the Eighteenth Century," Articles by John Komlos 6, Department of Economics, University of Munich.
  • Handle: RePEc:ehb:komart:6
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    Citations

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


    Cited by:

    1. H. Schneeweiss & J. Komlos & A. Ahmad, 2010. "Symmetric and asymmetric rounding: a review and some new results," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 94(3), pages 247-271, September.
    2. Robert Allen & Robert C. Allen, 2007. "Engel`s Pause: A Pessimist`s Guide to the British Industrial Revolution," Economics Series Working Papers 315, University of Oxford, Department of Economics.
    3. Komlos, John & Cinnirella, Francesco, 2005. "European Heights in the Early 18th Century," Discussion Papers in Economics 572, University of Munich, Department of Economics.
    4. A'Hearn, Brian & Komlos, John, 2003. "Improvements in Maximum Likelihood Estimators of Truncated Normal Samples with Prior Knowledge of σ," Discussion Papers in Economics 51, University of Munich, Department of Economics.
    5. A'Hearn, Brian, 2004. "A restricted maximum likelihood estimator for truncated height samples," Economics & Human Biology, Elsevier, vol. 2(1), pages 5-19, March.
    6. Komlos, John, 2003. "How to (and How Not to) Analyze Deficient Height Samples," Discussion Papers in Economics 56, University of Munich, Department of Economics.

    More about this item

    Keywords

    Industrial Revolution; Malthusian Trap;

    JEL classification:

    • N33 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy - - - Europe: Pre-1913

    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:ehb:komart:6. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Utku Teksoez (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.