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Diagnosing Sample-Selection Bias in Historical Heights

Version
V0
Resource Type
Dataset : observational data
Creator
  • Bodenhorn, Howard (Clemson University)
  • Guinnane, Timothy (Yale Universiry)
  • Mroz, Thomas (Georgia State University)
Publication Date
2018-12-30
Funding Reference
  • not applicable
Free Keywords
historical heights; selection bias
Description
  • Abstract

    This is the replication package for Diagnosing Sample-Selection Bias in Historical Heights: A Reply to Komlos and A'Hearn. One file replicates Figure 1 from the Union Army Sample. Several files provide the data and the simulation code to replicate Figure 2.
  • Technical Information

    Response Rates: observational data from military enlistments
Temporal Coverage
  • 1830-01-01 / 1865-12-31
    Time Period: Fri Jan 01 00:00:00 EST 1830--Sun Dec 31 00:00:00 EST 1865 (Nineteenth century)
  • 2015-01-01 / 2019-12-31
    Collection Date(s): Thu Jan 01 00:00:00 EST 2015--Tue Dec 31 00:00:00 EST 2019
Geographic Coverage
  • United States, Great Britain
Sampled Universe
United States and United Kingdom military samplesSmallest Geographic Unit: States
Sampling
see Union Army data (Fogel et al. 2000)
Collection Mode
  • other~~

    Data from Union Army project and British military heights projects

Availability
Download
Publications
  • “Diagnosing Sample-Selection Bias in Historical Heights: A Reply to Komlos and A’Hearn.” Journal of Economic History, n.d.

Update Metadata: 2019-09-22 | Issue Number: 1 | Registration Date: 2019-09-22

Bodenhorn, Howard; Guinnane, Timothy; Mroz, Thomas (2018): Diagnosing Sample-Selection Bias in Historical Heights. Version: V0. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/E112001