Explorations in Economic History最新文献_第7页

Historical gender discrimination does not explain comparative Western European development: evidence from Portugal, 1300-1900 历史上的性别歧视并不能解释西欧的相对发展：来自葡萄牙的证据，1300-1900

IF 2.3 1区历史学

Explorations in Economic History Pub Date : 2023-04-01 DOI: 10.1016/j.eeh.2022.101481

Nuno Palma , Jaime Reis , Lisbeth Rodrigues

引用次数: 6

Spoils of War: The Political Legacy of the German hyperinflation 战争的废墟：德国恶性通货膨胀的政治遗产

IF 2.3 1区历史学

Explorations in Economic History Pub Date : 2023-04-01 DOI: 10.1016/j.eeh.2022.101479

Gregori Galofré-Vilà

引用次数: 0

Measuring document similarity with weighted averages of word embeddings 用词嵌入的加权平均值测量文档相似度

IF 2.3 1区历史学

Explorations in Economic History Pub Date : 2023-01-01 DOI: 10.1016/j.eeh.2022.101494

Bryan Seegmiller , Dimitris Papanikolaou , Lawrence D.W. Schmidt

引用次数: 1

Perks and pitfalls of city directories as a micro-geographic data source 城市目录作为微地理数据源的好处和缺陷

IF 2.3 1区历史学

Explorations in Economic History Pub Date : 2023-01-01 DOI: 10.1016/j.eeh.2022.101476

Thilo N.H. Albers, Kalle Kappner

引用次数: 0

HANA: A handwritten name database for offline handwritten text recognition HANA:用于离线手写文本识别的手写名称数据库

IF 2.3 1区历史学

Explorations in Economic History Pub Date : 2023-01-01 DOI: 10.1016/j.eeh.2022.101473

Christian M. Dahl , Torben S.D. Johansen , Emil N. Sørensen , Simon Wittrock

{"title":"HANA: A handwritten name database for offline handwritten text recognition","authors":"Christian M. Dahl , Torben S.D. Johansen , Emil N. Sørensen , Simon Wittrock","doi":"10.1016/j.eeh.2022.101473","DOIUrl":"https://doi.org/10.1016/j.eeh.2022.101473","url":null,"abstract":"<div><p>Methods for linking individuals across historical data sets, typically in combination with AI based transcription models, are developing rapidly. Perhaps the single most important identifier for linking is personal names. However, personal names are prone to enumeration and transcription errors and although modern linking methods are designed to handle such challenges, these sources of errors are critical and should be minimized. For this purpose, improved transcription methods and large-scale databases are crucial components. This paper describes and provides documentation for HANA, a newly constructed large-scale database which consists of more than 3.3 million names. The database contains more than 105 thousand unique names with a total of more than 1.1 million images of personal names, which proves useful for transfer learning to other settings. We provide three examples hereof, obtaining significantly improved transcription accuracy on both Danish and US census data. In addition, we present benchmark results for deep learning models automatically transcribing the personal names from the scanned documents. Through making more challenging large-scale databases publicly available we hope to foster more sophisticated, accurate, and robust models for handwritten text recognition.</p></div>","PeriodicalId":47413,"journal":{"name":"Explorations in Economic History","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49857304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"历史学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The census place project: A method for geolocating unstructured place names 普查地点项目:一种对非结构化地名进行地理定位的方法

IF 2.3 1区历史学

Explorations in Economic History Pub Date : 2023-01-01 DOI: 10.1016/j.eeh.2022.101477

Enrico Berkes , Ezra Karger , Peter Nencka

{"title":"The census place project: A method for geolocating unstructured place names","authors":"Enrico Berkes , Ezra Karger , Peter Nencka","doi":"10.1016/j.eeh.2022.101477","DOIUrl":"https://doi.org/10.1016/j.eeh.2022.101477","url":null,"abstract":"<div><p>Researchers use microdata to study the economic development of the United States and the causal effects of historical policies. Much of this research focuses on county- and state-level patterns and policies because comprehensive sub-county data is not consistently available. We describe a new method that geocodes and standardizes the towns and cities of residence for individuals and households in decennial census microdata from 1790–1940. We release public crosswalks linking individuals and households to consistently-defined place names, longitude-latitude pairs, counties, and states. Our method dramatically increases the number of individuals and households assigned to a sub-county location relative to standard publicly available data: we geocode an average of 83% of the individuals and households in 1790–1940 census microdata, compared to 23% in widely-used crosswalks. In years with individual-level microdata (1850–1940), our average match rate is 94% relative to 33% in widely-used crosswalks. To illustrate the value of our crosswalks, we measure place-level population growth across the United States between 1870 and 1940 at a sub-county level, confirming predictions of Zipf’s Law and Gibrat’s Law for large cities but rejecting similar predictions for small towns. We describe how our approach can be used to accurately geocode other historical datasets.</p></div>","PeriodicalId":47413,"journal":{"name":"Explorations in Economic History","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49899235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"历史学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Reading the ransom: Methodological advancements in extracting the Swedish Wealth Tax of 1571 解读赎金:1571年瑞典财产税征收方法的进步

IF 2.3 1区历史学

Explorations in Economic History Pub Date : 2023-01-01 DOI: 10.1016/j.eeh.2022.101470

Christopher Blomqvist , Kerstin Enflo , Andreas Jakobsson , Kalle Åström

引用次数: 0

Record linkage for character-based surnames: Evidence from chinese exclusion 汉字姓氏的记录联动:来自排华的证据

IF 2.3 1区历史学

Explorations in Economic History Pub Date : 2023-01-01 DOI: 10.1016/j.eeh.2022.101493

Hannah M. Postel

引用次数: 1

Breathing new life into death certificates: Extracting handwritten cause of death in the LIFE-M project 为死亡证明注入新的活力:在life - m项目中提取手写的死亡原因

IF 2.3 1区历史学

Explorations in Economic History Pub Date : 2023-01-01 DOI: 10.1016/j.eeh.2022.101474

Martha J. Bailey , Susan H. Leonard , Joseph Price , Evan Roberts , Logan Spector , Mengying Zhang

引用次数: 1

Digitizing historical balance sheet data: A practitioner’s guide 数字化历史资产负债表数据:从业者指南

IF 2.3 1区历史学

Explorations in Economic History Pub Date : 2023-01-01 DOI: 10.1016/j.eeh.2022.101475

Sergio Correia , Stephan Luck

引用次数: 4