Overview of the use of big data for official statistics in Latin America and the Caribbean

Q3 Decision Sciences

Statistical Journal of the IAOS Pub Date : 2022-12-26 DOI:10.3233/sji-220092

Andrea Diniz da Silva, Beatriz Menezes Marques de Oliveira, Ísis Gonçalves Peixoto, Lidiane Braga Sales de Souza

{"title":"Overview of the use of big data for official statistics in Latin America and the Caribbean","authors":"Andrea Diniz da Silva, Beatriz Menezes Marques de Oliveira, Ísis Gonçalves Peixoto, Lidiane Braga Sales de Souza","doi":"10.3233/sji-220092","DOIUrl":null,"url":null,"abstract":"In 2020 and 2021, the challenges related to the decline in the financing of statistical production and the cooperation of respondents was exacerbated by the COVID-19 pandemic. This scenario led national statistical offices (NSOs) to accelerate consideration of alternative data sources to complement or even replace traditional survey data. In this context, the use of big data to produce statistics has become promising. The use of big data for statistics is already in practice in many parts of the Global North and has also been spreading rapidly in the South. Part of the success of this trend is due to the support of the United Nations Committee of Experts on Big Data and Data Science for Official Statistics (UNCEBD), in particular its four Regional Hubs for Big Data. To learn the extent of the use of big data for official statistics in Latin America and the Caribbean, the United Nations Regional Hub for Big Data in Brazil conducted a study of the practices of NSOs in the region. A very promising scenario was found regarding the use of big data from satellite imagery, web scraping and other big data sources, for applications such as the production of price statistics, land use and cover patterns and migration.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistical Journal of the IAOS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/sji-220092","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Decision Sciences","Score":null,"Total":0}

引用次数: 0

Abstract

In 2020 and 2021, the challenges related to the decline in the financing of statistical production and the cooperation of respondents was exacerbated by the COVID-19 pandemic. This scenario led national statistical offices (NSOs) to accelerate consideration of alternative data sources to complement or even replace traditional survey data. In this context, the use of big data to produce statistics has become promising. The use of big data for statistics is already in practice in many parts of the Global North and has also been spreading rapidly in the South. Part of the success of this trend is due to the support of the United Nations Committee of Experts on Big Data and Data Science for Official Statistics (UNCEBD), in particular its four Regional Hubs for Big Data. To learn the extent of the use of big data for official statistics in Latin America and the Caribbean, the United Nations Regional Hub for Big Data in Brazil conducted a study of the practices of NSOs in the region. A very promising scenario was found regarding the use of big data from satellite imagery, web scraping and other big data sources, for applications such as the production of price statistics, land use and cover patterns and migration.

查看原文本刊更多论文

拉丁美洲和加勒比利用大数据进行官方统计概览

2020年和2021年，新冠肺炎疫情加剧了与统计生产融资下降和受访者合作有关的挑战。这种情况导致国家统计局加快考虑替代数据来源，以补充甚至取代传统的调查数据。在这种情况下，利用大数据编制统计数据变得很有希望。使用大数据进行统计的做法已经在全球北方的许多地区实施，而且在南方也在迅速蔓延。这一趋势的成功部分归功于联合国官方统计大数据和数据科学专家委员会（UNCEBD）的支持，特别是其四个大数据区域中心的支持。为了了解拉丁美洲和加勒比官方统计使用大数据的程度，联合国巴西大数据区域中心对国家统计局在该区域的做法进行了研究。在使用卫星图像、网络抓取和其他大数据源的大数据，用于价格统计、土地使用和覆盖模式以及移民等应用方面，发现了一个非常有前景的场景。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Statistical Journal of the IAOS Economics, Econometrics and Finance-Economics and Econometrics

CiteScore

1.30

自引率

0.00%

发文量

116

期刊介绍： This is the flagship journal of the International Association for Official Statistics and is expected to be widely circulated and subscribed to by individuals and institutions in all parts of the world. The main aim of the Journal is to support the IAOS mission by publishing articles to promote the understanding and advancement of official statistics and to foster the development of effective and efficient official statistical services on a global basis. Papers are expected to be of wide interest to readers. Such papers may or may not contain strictly original material. All papers are refereed.