{"title":"Why Do Bls Hours Series Tell Different Stories About Trends in Hours Worked?","authors":"Harley Frazis, Jay Stewart","doi":"10.7208/chicago/9780226001463.003.0010","DOIUrl":null,"url":null,"abstract":"Hours worked is an important economic indicator. In addition to being a measure of labor utilization, average weekly hours are inputs into measures of productivity and hourly wages, which are two key economic indicators. However, the Bureau of Labor Statistics' two hours series tell very different stories. Between 1973 and 2007 average weekly hours estimated from the BLS's household survey (the Current Population Survey or CPS) indicate that average weekly hours of nonagricultural wage and salary workers decreased slightly from 39.5 to 39.3. In contrast, average hours estimated from the establishment survey (the Current Employment Statistics survey or CES) indicate that hours fell from 36.9 to 33.8 hours per week. Thus the discrepancy between the two surveys increased from about two-and-a-half hours per week to about five-and-a-half hours. Our goal in the current study is to reconcile the differences between the CPS and CES estimates of hours worked and to better understand what these surveys are measuring. We examine a number of possible explanations for the divergence of the two series: differences in workers covered, multiple jobholding, differences in the hours concept (hours worked vs. hours paid), possible overreporting of hours in CPS, and changes in the length of CES pay periods. We can explain most of the difference in levels, but cannot explain the divergent trends.","PeriodicalId":331900,"journal":{"name":"IZA Institute of Labor Economics Discussion Paper Series","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IZA Institute of Labor Economics Discussion Paper Series","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7208/chicago/9780226001463.003.0010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 22
Abstract
Hours worked is an important economic indicator. In addition to being a measure of labor utilization, average weekly hours are inputs into measures of productivity and hourly wages, which are two key economic indicators. However, the Bureau of Labor Statistics' two hours series tell very different stories. Between 1973 and 2007 average weekly hours estimated from the BLS's household survey (the Current Population Survey or CPS) indicate that average weekly hours of nonagricultural wage and salary workers decreased slightly from 39.5 to 39.3. In contrast, average hours estimated from the establishment survey (the Current Employment Statistics survey or CES) indicate that hours fell from 36.9 to 33.8 hours per week. Thus the discrepancy between the two surveys increased from about two-and-a-half hours per week to about five-and-a-half hours. Our goal in the current study is to reconcile the differences between the CPS and CES estimates of hours worked and to better understand what these surveys are measuring. We examine a number of possible explanations for the divergence of the two series: differences in workers covered, multiple jobholding, differences in the hours concept (hours worked vs. hours paid), possible overreporting of hours in CPS, and changes in the length of CES pay periods. We can explain most of the difference in levels, but cannot explain the divergent trends.
工作时间是一个重要的经济指标。除了衡量劳动力利用率之外,平均每周工作时间还被用于衡量生产率和小时工资,这是两个关键的经济指标。然而,美国劳工统计局(Bureau of Labor Statistics)长达两小时的系列报道却讲述了截然不同的故事。从1973年到2007年,美国劳工统计局家庭调查(当前人口调查或CPS)估计的平均每周工作时间表明,非农业工资和薪金工人的平均每周工作时间从39.5小时略微下降到39.3小时。相比之下,企业调查(当前就业统计调查或CES)估计的平均工作时间表明,每周工作时间从36.9小时下降到33.8小时。因此,两项调查之间的差异从每周大约两个半小时增加到大约五个半小时。我们当前研究的目标是调和CPS和CES对工作时间的估计之间的差异,并更好地理解这些调查所测量的是什么。我们研究了两个系列差异的一些可能的解释:工人覆盖的差异,多个工作岗位,时间概念的差异(工作时间与支付时间),CPS中可能的多报时间,以及CES工资期长度的变化。我们可以解释水平上的大部分差异,但无法解释不同的趋势。