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Estimating Trends in Historical Heights

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Author Info

  • John Komlos

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

  • Joo Han Kim

Abstract

Develops a robust statistical procedure to analyze the trend in height if the available samples are truncated at the minimum height requirement.

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Bibliographic Info

Paper provided by Department of Economics, University of Munich in its series Articles by John Komlos with number 25.

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Publication status: published in Historical Methods, 1990, 23, 116-120
Handle: RePEc:ehb:komart:25

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Web page: http://www.vwl.uni-muenchen.de/ls_komlos/
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Related research

Keywords: height; truncated samples;

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Cited by:
  1. Roderick Floud & Bernard Harris, 1997. "Health, Height, and Welfare: Britain, 1700-1980," NBER Chapters, in: Health and Welfare during Industrialization, pages 91-126 National Bureau of Economic Research, Inc.
  2. Komlos, John & Baten, Jörg, 2003. "Looking Backward and Looking Forward: Anthropometric Research and the Development of Social Science History," Discussion Papers in Economics 59, University of Munich, Department of Economics.
  3. John Komlos, . "On the Biological Standard of Living of Eighteenth-Century Americans: Taller, Richer, Healthier," Articles by John Komlos 3, Department of Economics, University of Munich.
  4. Dobado González, Rafael / R & García Montero, Héctor / H, 2010. "Colonial Origins of Inequality in Hispanic America? Some reflections based on new empirical evidence," MPRA Paper 28738, University Library of Munich, Germany.
  5. 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.
  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.

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