What Protects the Autonomy of the Federal Statistical Agencies? An Assessment of the Procedures in Place to Protect the Independence and Objectivity of Official U.S. Statistics
C. Citro, Jonathan Auerbach, Katherine Smith Evans, E. Groshen, J. Landefeld, J. Mulrow, Tom Petska, Steve Pierson, N. Potok, C. Rothwell, John Thompson, James L. Woodworth, Edward Wu
{"title":"What Protects the Autonomy of the Federal Statistical Agencies? An Assessment of the Procedures in Place to Protect the Independence and Objectivity of Official U.S. Statistics","authors":"C. Citro, Jonathan Auerbach, Katherine Smith Evans, E. Groshen, J. Landefeld, J. Mulrow, Tom Petska, Steve Pierson, N. Potok, C. Rothwell, John Thompson, James L. Woodworth, Edward Wu","doi":"10.1080/2330443x.2023.2188062","DOIUrl":null,"url":null,"abstract":"The Abstract We assess the professional autonomy of the 13 principal U.S. federal statistical agencies. We define six components or measures of such autonomy and evaluate each of the 13 principal statistical agencies according to each measure. Our assessment yields three main findings: 1. Challenges to the objectivity, credibility, and utility of federal statistics arise largely as a consequence of insufficient autonomy. 2. There is remarkable variation in autonomy protections and a surprising lack of statutory protections for many agencies for many of the proposed measures. 3. Many existing autonomy rules and guidelines are weakened by unclear or unactionable","PeriodicalId":43397,"journal":{"name":"Statistics and Public Policy","volume":" ","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2023-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistics and Public Policy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/2330443x.2023.2188062","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SOCIAL SCIENCES, MATHEMATICAL METHODS","Score":null,"Total":0}
引用次数: 2
Abstract
The Abstract We assess the professional autonomy of the 13 principal U.S. federal statistical agencies. We define six components or measures of such autonomy and evaluate each of the 13 principal statistical agencies according to each measure. Our assessment yields three main findings: 1. Challenges to the objectivity, credibility, and utility of federal statistics arise largely as a consequence of insufficient autonomy. 2. There is remarkable variation in autonomy protections and a surprising lack of statutory protections for many agencies for many of the proposed measures. 3. Many existing autonomy rules and guidelines are weakened by unclear or unactionable
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
