Challenges and Emerging Issues in Official Statistics and Survey Methodology

官方统计和调查方法中的挑战和新出现的问题

• 批准号: RGPIN-2020-04345
• 负责人: Wu, Changbao
• 金额: $ 3.13万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=739906
• 关键词: Challenges; Emerging; Issues; Official; Statistics

The fields of official statistics and survey methodology have seen drastic evolutions during the past decade. Official statistical agencies such as Statistics Canada have been moving beyond the traditional survey-first approach to new methods integrating data from a variety of existing sources. While some of the old issues remain, the evolutions bring new challenges to all major phases in official statistics and survey methodology research, including data collection, production, access, and statistical analysis. The proposed research addresses three critical components of new challenges and emerging issues: (1) the creation of public-use data files to facilitate valid scientific investigations without compromising privacy and confidentiality; (2) the development of statistical methods for analyzing excessively large and/or real-time data files; and (3) the advancement of methodologies for dealing with biased and non-probability survey samples and data from unconventional sources. The proposal is built based partially on the applicant's recent successfully completed research projects on related topics and answers the call from official statistical agencies, data users, decision makers and survey practitioners to tackle important emerging problems in the new data era.

在过去十年中，官方统计和调查方法领域发生了巨大变化。加拿大统计局等官方统计机构已经超越了传统的先调查后统计的做法，转而采用新的方法，将各种现有来源的数据综合起来。虽然一些老问题仍然存在，但这些演变给官方统计和调查方法研究的所有主要阶段带来了新的挑战，包括数据收集、制作、获取和统计分析。拟议的研究涉及新挑战和新问题的三个关键组成部分：（1）创建公共使用的数据文件，以促进有效的科学调查，同时不损害隐私和保密性;（2）开发统计方法，用于分析过大和/或实时数据文件;以及（3）处理非常规来源的有偏差和非概率调查样本和数据的方法的进步。该提案部分基于申请人最近成功完成的相关主题研究项目，并响应了官方统计机构、数据用户、决策者和调查从业者解决新数据时代新出现的重要问题的呼吁。