scholarly journals Consumer Expenditure Survey Methods Symposium and Microdata Users’ Workshop, July 21–24, 2020

2021 ◽  
Author(s):  
Geoffrey Paulin ◽  
Parvati Krishnamurty

The Consumer Expenditure Surveys (CE) program collects expenditure, demographic, and income data from families and households. The CE program held its annual Survey Methods Symposium and Microdata Users’ Workshop from July 21 to 24, 2020, to address CE-related topics in survey methods research, to provide free training in the structure and uses of the CE microdata, and to explore possibilities for collaboration. Economists from the CE program, staff from other U.S. Bureau of Labor Statistics offices, and research experts in a variety of fields—including academia, government, and private industry—gathered virtually to explore better ways to collect CE data and to learn how to use the microdata once they are produced. The experience was unique for presenters and attendees alike in that this was the first time either event was held online, in whole or in part.

2018 ◽  
Vol 27 (2) ◽  
pp. 107-125
Author(s):  
Finnie B. Cook ◽  
John Oryema ◽  
Cynthia Stephens

Abstract A review of the existing academic literature as well as available government publications reveals a lack of information regarding expenditure behavior of high income households. In this paper, we combine multiple years of Consumer Expenditure Survey Public Use Microdata provided by the Bureau of Labor Statistics (BLS) and compute average expenditures and standard errors. We apply the same methodology used by the BLS to estimate the average expenditures by household income and household size for households with income of $70,000 and higher. The resultant tables provide details on consumption and saving patterns for higher income groups that are unavailable in the tables published by the BLS. Our tables can be utilized by forensic economists in practice for the determination of consumption and savings values in wrongful death matters in high income households.


1915 ◽  
Author(s):  
Laura Erhard ◽  
Brett McBride ◽  
Adam safir

As part of the implementation of its strategic plan, the U.S. Bureau of Labor Statistics (BLS) has increasingly studied the issue of using alternative data to improve both the quality of its data and the process by which those data are collected. The plan includes the goal of integrating alternative data into BLS programs. This article describes the framework used by the BLS Consumer Expenditure Surveys (CE) program and the potential these data hold for complementing data collected in traditional formats. It also addresses some of the challenges BLS faces when using alternative data and the complementary role that alternative data play in improving the quality of data currently collected. Alternative data can substitute for what is presently being collected from respondents and provide additional information to supplement the variables the CE program produces or to adjust the CE program’s processing and weighting procedures.


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