从1850年美国联邦人口普查的公共使用微数据样本到1860年美国联邦人口普查手稿时间表的一个新的男性样本

IF 1.6 2区历史学 Q1 HISTORY Historical Methods Pub Date : 1996-01-01 DOI:10.1080/01615440.1996.10112735

J. Ferrie

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引用次数: 167

摘要

这篇文章描述了一个新的样本，4938名男性从新的[美国]1850年联邦人口普查的公共使用微数据样本(PUMS)到1860年联邦人口普查的手稿时间表....在回顾了19世纪50年代有关个人的现有工作之后，我详细描述了新样本的收集。然后，我用这些数据来检验人口的地理流动性(特别是向西部边境的迁移)。附录中包含了19世纪50年代的新生命表——基于1850年人口普查死亡率表的手稿数据——用来估计在1850年到1860年的联系过程中预计会有多少幸存者。(摘录)

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A New Sample of Males Linked from the Public Use Microdata Sample of the 1850 U.S. Federal Census of Population to the 1860 U.S. Federal Census Manuscript Schedules

This article describes a new sample of 4938 males linked from the new [U.S.] Public Use Microdata Sample (PUMS) of the 1850 federal census of population to the manuscript schedules of the 1860 federal census of population....After reviewing the existing work on individuals linked across the 1850s I describe the collection of the new sample in detail. I then use these data to examine the geographic mobility of the population (in particular movement to the western frontier). The Appendix contains new life tables for the 1850s--based on manuscript data from the mortality schedules of the 1850 census--that were used to estimate how many survivors could be expected between 1850 and 1860 in the linkage process. (EXCERPT)

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来源期刊

Historical Methods Multiple-

CiteScore

3.20

自引率

7.10%

发文量

期刊介绍： Historical Methodsreaches an international audience of social scientists concerned with historical problems. It explores interdisciplinary approaches to new data sources, new approaches to older questions and material, and practical discussions of computer and statistical methodology, data collection, and sampling procedures. The journal includes the following features: “Evidence Matters” emphasizes how to find, decipher, and analyze evidence whether or not that evidence is meant to be quantified. “Database Developments” announces major new public databases or large alterations in older ones, discusses innovative ways to organize them, and explains new ways of categorizing information.