Steven Ruggles,Julia A Drew,Catherine A Fitch et al.
Steven Ruggles et al.
The IPUMS Multigenerational Longitudinal Panel (MLP) is a longitudinal population panel that links American censuses, surveys, administrative sources, and vital records spanning the period from 1850 to the present. This article explains the...
New Data Sources for Research on the Nineteenth-Century United States: IPUMS Full Count Datasets of the Censuses of Population 1850-1880 [0.03%]
十九世纪美国人口普查（1850-1880）全样本数据集——IPUMS-FC项目概述及应用示例
Matt A Nelson,Diana L Magnuson,J David Hacker et al.
Matt A Nelson et al.
IPUMS has finalized databases for each of the United States population censuses from 1850 to 1880. These data are the result of collaborations between FamilySearch and Ancestry.com, which provided the raw data, and IPUMS, which enhanced the...
IPUMS Full count Datasets of the United States Censuses of Mortality, 1850-1880 [0.03%]
美国1850至1880年人口普查死亡率全样本数据集（IPUMS）
J David Hacker,Lap Huynh,Susan H Leonard et al.
J David Hacker et al.
This article describes four new IPUMS datasets constructed from the 1850, 1860, 1870, and 1880 Censuses of Mortality of the United States. We discuss the creation of the datasets, the variables included in each census year, and their potent...
Historical Context and Creation of the IPUMS Ancestry Full Count Population Census Data 1900-1930 [0.03%]
IPUMS 族裔.full count人口普查数据的创建及历史（1900—1930年）
Matt A Nelson,Diana L Magnuson,Matthew Sobek et al.
Matt A Nelson et al.
IPUMS recently released final versions of full count census data for the United States 1900-1930. The information contained in these files is the product of three broad work stages: historical census enumeration, digitization, and IPUMS pro...
Children and Grandchildren of Union Army Veterans: New Data Collections to Study the Persistence of Longevity and Socioeconomic Status Across Generations [0.03%]
美国退伍军人后代的新数据集：研究多代人长寿和经济社会地位的延续性
Dora L Costa,Coralee Lewis,Noelle Yetter
Dora L Costa
This paper introduces four new intergenerational and multigenerational datasets which follow both sons and daughters and which can be used to study the persistence of longevity, socioeconomic status, family structure, and geographic mobilit...
The Creation of LIFE-M: The Longitudinal, Intergenerational Family Electronic Micro-Database Project [0.03%]
LIFE-M的创建：纵向跨代家庭电子微观数据库项目
Martha Bailey,Peter Z Lin,A R Shariq Mohammed et al.
Martha Bailey et al.
This paper describes the creation of the Longitudinal, Intergenerational Family Electronic Micro-Database (LIFE-M), a new data resource linking vital records and decennial censuses for millions of individuals and families living in the late...
Kenneth M Sylvester,J David Hacker
Kenneth M Sylvester
A New Strategy for Linking U.S. Historical Censuses: A Case Study for the IPUMS Multigenerational Longitudinal Panel [0.03%]
美国历史人口普查资料链接的新型策略——IPUMS多代纵向数据面板研究案例分析
Jonas Helgertz,Joseph Price,Jacob Wellington et al.
Jonas Helgertz et al.
This paper presents a probabilistic method of record linkage, developed using the U.S. full count censuses of 1900 and 1910 but applicable to many sources of digitized historical records. The method links records using a two-step approach, ...
Reconstruction of Birth Histories for the Study of Fertility in the United States, 1830-1910 [0.03%]
美国生育史研究中出生历史的重建（1830-1910）
J David Hacker
J David Hacker
This paper describes a method to reconstruct complete birth histories for women in the 1900 and 1910 U. S. census IPUMS samples. The method is an extension of an earlier method developed by Luther and Cho (1988). The basic method relies on ...
Simple Strategies for Improving Inference with Linked Data: A Case Study of the 1850-1930 IPUMS Linked Representative Historical Samples [0.03%]
提高链式数据推理的简单策略：对1850-1930年IPUMS链式历史样本的案例研究
Martha Bailey,Connor Cole,Catherine Massey
Martha Bailey
New large-scale linked data are revolutionizing quantitative history and demography. This paper proposes two complementary strategies for improving inference with linked historical data: the use of validation variables to identify higher qu...