Data set from the Union Army samples to study locational choice and social networks.

Dora L Costa, Matthew E Kahn, Christopher Roudiez, Sven Wilson

Abstract read

In one paragraph

Article in Data in brief, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

Record Linkage For Character-Based Surnames: Evidence from Chinese Exclusion.Explorations in economic history · 2023
Article

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Dora L CostaUniversity of California, Los Angeles and NBER, University of Southern California and NBER, University of Maryland, Brigham Young University, United States.

Matthew E KahnUniversity of California, Los Angeles and NBER, University of Southern California and NBER, University of Maryland, Brigham Young University, United States.

Christopher RoudiezUniversity of California, Los Angeles and NBER, University of Southern California and NBER, University of Maryland, Brigham Young University, United States.

Sven WilsonUniversity of California, Los Angeles and NBER, University of Southern California and NBER, University of Maryland, Brigham Young University, United States.

Funding

THE POLITICAL ECONOMY OF PUBLIC HEALTH, 1870-1940P01AG010120 · NIA · NATIONAL BUREAU OF ECONOMIC RESEARCH · PI COSTA, DORA L · 1992 to 2018

$31.5M

Scientific and Technical CoreP2CHD041022 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Martha Jane Bailey · 2016 to 2026

$6.9M

NIA NIH HHS P01 AG010120NICHD NIH HHS P2C HD041022

6 · The paper itself

Abstract

We describe the publicly available data created by the NIA funded Early Indicators program project, often referred to as the Union Army data, and the subset of these data used in "Persistent Social Networks: Civil War Veterans Who Fought Together Co-Locate in Later Life" (Costa et al., Forthcoming) [1]. This data subset can be used for reproducibility and extensions and also illustrates how the original complex data derived from archival administrative records can be used.

Indexed as

MigrationMortalitySocial networks

Identifiers

PMID29876390

DOI10.1016/j.dib.2017.12.007

PMCPMC5988018

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.