Christopher L. Foote, Tyler Hounshell, W. Nordhaus, D. Rivers, Pamela Torola
{"title":"用在线小组来衡量美国的就业形势:耶鲁劳工调查","authors":"Christopher L. Foote, Tyler Hounshell, W. Nordhaus, D. Rivers, Pamela Torola","doi":"10.3233/jem-230486","DOIUrl":null,"url":null,"abstract":"This study presents the results of a rapid, low-cost survey that collected labor market data for individuals in the United States during the COVID-19 pandemic. The Yale Labor Survey (YLS) used an online panel from YouGov to replicate statistics from the Current Population Survey, the government’s main source of household labor market statistics. The YLS’s advantages include its timeliness, its low cost, and its ability to develop new questions quickly to study labor market patterns during the pandemic. The results of the YLS show that online surveys can be used to gather economic and demographic data with reasonable accuracy and at low cost. Such surveys can therefore be useful complements to less-frequent government surveys, particularly when the labor market is stressed and real-time data are especially valuable.","PeriodicalId":53705,"journal":{"name":"Journal of Economic and Social Measurement","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Measuring the US employment situation using online panels: The Yale Labor Survey\",\"authors\":\"Christopher L. Foote, Tyler Hounshell, W. Nordhaus, D. Rivers, Pamela Torola\",\"doi\":\"10.3233/jem-230486\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study presents the results of a rapid, low-cost survey that collected labor market data for individuals in the United States during the COVID-19 pandemic. The Yale Labor Survey (YLS) used an online panel from YouGov to replicate statistics from the Current Population Survey, the government’s main source of household labor market statistics. The YLS’s advantages include its timeliness, its low cost, and its ability to develop new questions quickly to study labor market patterns during the pandemic. The results of the YLS show that online surveys can be used to gather economic and demographic data with reasonable accuracy and at low cost. Such surveys can therefore be useful complements to less-frequent government surveys, particularly when the labor market is stressed and real-time data are especially valuable.\",\"PeriodicalId\":53705,\"journal\":{\"name\":\"Journal of Economic and Social Measurement\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Economic and Social Measurement\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3233/jem-230486\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Economic and Social Measurement","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/jem-230486","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Social Sciences","Score":null,"Total":0}
Measuring the US employment situation using online panels: The Yale Labor Survey
This study presents the results of a rapid, low-cost survey that collected labor market data for individuals in the United States during the COVID-19 pandemic. The Yale Labor Survey (YLS) used an online panel from YouGov to replicate statistics from the Current Population Survey, the government’s main source of household labor market statistics. The YLS’s advantages include its timeliness, its low cost, and its ability to develop new questions quickly to study labor market patterns during the pandemic. The results of the YLS show that online surveys can be used to gather economic and demographic data with reasonable accuracy and at low cost. Such surveys can therefore be useful complements to less-frequent government surveys, particularly when the labor market is stressed and real-time data are especially valuable.
期刊介绍:
The Journal of Economic and Social Measurement (JESM) is a quarterly journal that is concerned with the investigation of all aspects of production, distribution and use of economic and other societal statistical data, and with the use of computers in that context. JESM publishes articles that consider the statistical methodology of economic and social science measurements. It is concerned with the methods and problems of data distribution, including the design and implementation of data base systems and, more generally, computer software and hardware for distributing and accessing statistical data files. Its focus on computer software also includes the valuation of algorithms and their implementation, assessing the degree to which particular algorithms may yield more or less accurate computed results. It addresses the technical and even legal problems of the collection and use of data, legislation and administrative actions affecting government produced or distributed data files, and similar topics. The journal serves as a forum for the exchange of information and views between data producers and users. In addition, it considers the various uses to which statistical data may be put, particularly to the degree that these uses illustrate or affect the properties of the data. The data considered in JESM are usually economic or social, as mentioned, but this is not a requirement; the editorial policies of JESM do not place a priori restrictions upon the data that might be considered within individual articles. Furthermore, there are no limitations concerning the source of the data.