Evidence map›Paper›PMID 29713093›Full record

ArticleThe journal of economic history2018

"Big data" in economic history.

Myron P Gutmann, Emily Klancher Merchant, Evan Roberts

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The journal of economic history, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

3 authors.

Myron P GutmannDepartment of History and Institute of Behavioral Science, University of Colorado.
Emily Klancher MerchantScience and Technology Studies, University of California, Davis.
Evan RobertsDepartment of Sociology and Minnesota Population Center, University of Minnesota.

Funding

North Atlantic Population ProjectR01HD052110 · NICHD · UNIVERSITY OF MINNESOTA · PI RUGGLES, STEVE · 2006 to 2016
$4.2M
Spatial Analysis CoreR24HD041023 · NICHD · UNIVERSITY OF MINNESOTA TWIN CITIES · PI RUGGLES, STEVE · 2001 to 2016
$4.1M
POPULATION AND ENVIRONMENT IN THE U.S. GREAT PLAINSR01HD033554 · NICHD · UNIVERSITY OF TEXAS AUSTIN · PI LEONARD, SUSAN HAUTANIEMI · 1995 to 2011
$3.8M
University of Colorado Population CenterP2CHD066613 · NICHD · UNIVERSITY OF COLORADO · PI JANE A MENKEN · 2015 to 2026
$3.7M
The University of Colorado Population CenterR24HD066613 · NICHD · UNIVERSITY OF COLORADO · PI PAMPEL, FRED C · 2010 to 2014
$1.9M
NICHD NIH HHS P2C HD066613NICHD NIH HHS R01 HD033554NICHD NIH HHS R01 HD052110NICHD NIH HHS R24 HD041023NICHD NIH HHS R24 HD066613
6 · The paper itself

Abstract

Big data is an exciting prospect for the field of economic history, which has long depended on the acquisition, keying, and cleaning of scarce numerical information about the past. This article examines two areas in which economic historians are already using big data - population and environment - discussing ways in which increased frequency of observation, denser samples, and smaller geographic units allow us to analyze the past with greater precision and often to track individuals, places, and phenomena across time. We also explore promising new sources of big data: organically created economic data, high resolution images, and textual corpora.

Identifiers

PMID29713093
PMCPMC5922781

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.