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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

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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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Publisher 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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Find related papers by JEL classification:
C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - General
C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General

Cited by:
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  1. Komlos, John, 2003. "How to (and How Not to) Analyze Deficient Height Samples," Discussion Papers in Economics 56, University of Munich, Department of Economics. [Downloadable!]
  2. Roderick Floud & Bernard Harris, 1996. "Health, Height and Welfare: Britain 1700-1980," NBER Historical Working Papers 0087, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    Other versions:
  3. 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. [Downloadable!]
  4. 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. [Downloadable!]
    Other versions:
  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. [Downloadable!]
Statistics
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