scholarly journals By the Numbers: Economic Data Revisions: What They Are and Where to Find Them

2017 ◽  
Vol 45 (2) ◽  
pp. 4
Author(s):  
Katrina Stierholz

Economic data is being revised often. On the first Friday of every month,the Bureau of Labor Statistics (BLS) publishes its Employment Situation Summary. This report describes the state of employment in the United States and two highly anticipated (and media-watched) employment numbers: The Unemployment Rate and Total Nonfarm Payroll Employment. The Unemployment Rate is based on a survey of persons who report they are seeking work but are not employed. The Payroll Employment Data are based on firms’ reports of the number of people employed. Economists and others carefully watch the rise (or fall) of the total nonfarm payroll employment data. These data are a fundamental reflection of current economic conditions and a significant rise or fall will, in turn, influences economic decision-making by businesses and government.

2014 ◽  
Vol 11 (1) ◽  
pp. 53
Author(s):  
Orlando Rivero

The United States unemployment rate continues to be a focal point of discussion. Although in July 2012, the United States Bureau of Labor Statistics reported an 8.3% unemployment rate in America, this figure only reflects workers between the ages of 16 and older. With this being said, there is a segment of the population unrepresented within the totality of the United States unemployment rate reported. Younger workers between the ages of 16 to 24 years of age have sustained a much higher unemployment rate as compared to older workers. Unfortunately, 93% of these younger workers do not have a high school diploma and the majority of these workers were supporting families. The purpose of this article is to examine several components of the unemployment rate as it relates to younger workers between the ages of 16 to 24 years of age. Recommendations will be offered in an effort to improve employment sustainability among younger workers, which has been an issue that has been ignored for several years until recently.


2011 ◽  
Vol 4 (1) ◽  
pp. 87
Author(s):  
Jeff Kennedy

The transportation industry is one of the largest employers in the United States. In fact, employment in the transportation industry is expected to increase from 4,205,000 jobs in 2002 to 5,120,000 jobs in 2012, an increase of 914,000 jobs, with truck drivers, including heavy and tractor-trailer drivers adding 337,000 new jobs (U.S. Bureau of Labor Statistics, 2006 and NAICS Industry Data, 2004). Truck drivers are a valuable and unique resource in today's economy because companies rely on trucks to pick up and deliver merchandise. No other mode of transportation delivers door-to-door. While some goods may travel most of the way by ship, train, or airplane, almost every good is carried by truck at some point en route to its destination. (West, 1-46)


2020 ◽  
Vol 3 (1) ◽  
pp. 1-27
Author(s):  
John Pencavel

PurposeThe purpose is to evaluate the performance of consumers' cooperatives in the United States over the last 100 years. This evaluation is based on an overlooked series of surveys undertaken by the U.S. Bureau of Labor Statistics between 1920 and 1950. Where possible, the series are brought up to date.Design/methodology/approachThe surveys did not follow a single consistent organization. Therefore, the observations require rearrangement so that a single meaningful design is achieved.FindingsIn a number of instances, consumers' cooperatives have not merely survived but thrived. Indeed, some of their original and continuing methods of operation have been copied and adopted by firms that are not cooperatives.Originality/valueThe series constructed are original and singular. The author knows of no such comparable data.


Author(s):  
Jochen Hartwig ◽  
Bernd Schips

ZusammenfassungDer Aufsatz gibt einen Überblick über die Quellen von Verzerrungen des US-amerikanischen Konsumentenpreisindexes (CPI) nach oben sowie nach unten und diskutiert die Maßnahmen, die das Bureau of Labor Statistics ergriffen hat, um sie zu beseitigen. Die verbliebenen Verzerrungen werden quantifiziert. Weiterhin wird die Frage aufgeworfen, um wie viel die Veränderungen in der Berechnungsweise des CPI die Wachstumsraten des „realen“ US-Bruttoinlandsprodukts angehoben haben. Es erweist sich, dass die Divergenz in den Wachstumsraten der USA und der EU seit 1997 fast zur Gänze auf unterschiedliche Berechnungsweisen zurückgeführt werden kann.


Forecasting ◽  
2018 ◽  
Vol 1 (1) ◽  
pp. 121-134 ◽  
Author(s):  
Jason W. Miller

The trucking sector in the United States is a $700 billion plus a year industry and represents a large percentage of many firms’ logistics spend. Consequently, there is interest in accurately forecasting prices for truck transportation. This manuscript utilizes the autoregressive integrated moving average (ARIMA) methodology to develop forecasts for three time series of monthly archival trucking prices obtained from two public sources—the Bureau of Labor Statistics (BLS) and Truckstop.com. BLS data cover January 2005 through August 2018; Truckstop.com data cover January 2015 through August 2018. Different ARIMA models closely approximate the observed data, with coefficients of variation of the root mean-square deviations being 0.007, 0.040, and 0.048. Furthermore, the estimated parameters map well onto dynamics known to operate in the industry, especially for data collected by the BLS. Theoretical and practical implications of these findings are discussed.


2020 ◽  
pp. c2-64
Author(s):  
The Editors

buy this issue According to the U.S. Bureau of Labor Statistics, the U.S. economy is experiencing an unemployment rate that is at a fifty-year low. Yet, wage growth continues to be weak, with continuing wage stagnation even at the peak of the business cycle. A major and largely undertheorized reason for the sluggish wages in a period of seeming full employment is to be found in the fact that the new jobs being created by the economy do not measure up to those of the past in terms of weekly wages and hours, or in the degree to which they support households or even individuals.


2010 ◽  
Vol 23 (2) ◽  
pp. 187-220 ◽  
Author(s):  
Thomas A. Stapleford

ArgumentCreated in 1884, the U.S. Bureau of Labor Statistics (BLS) has been the major federal source for data in the United States on labor-related topics such as prices, unemployment, compensation, productivity, and family expenditures. This essay traces the development and transformation of formal and informal consulting relationships between the BLS and external groups (including academic social scientists, unions, businesses, and other government entities) over the twentieth century. Though such a history cannot, of course, provide a comprehensive analysis of how political values have shaped the construction of labor statistics during this period, I argue that it can nevertheless provide important insights into the political context for the construction of knowledge about American workers and their living and working conditions.


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