How the U.S. Census Bureau e-commerce figures overestimate output and online sales
Roger Betancourt ()
Economics Letters, 2018, vol. 172, issue C, 157-159
Abstract:
I identify biases in the definition of e-commerce employed by the Census Bureau. They arise from using a concept based on the role of ICT in a transaction that is measured empirically on the basis of sales/revenues. I quantify this bias as a measure of output growth in the retail sector for the most important e-commerce retail sector at the NAICS 4-digit level (4541). In addition, a range of estimates for the bias as a measure of the growth of actual online sales in this sector is derived. Potential solutions are provided in a concluding section.
Keywords: E-commerce definition; Bias as output measure; Bias as online sales measure; Purchase process; Omni behavior; Channel customer/user distinction (search for similar items in EconPapers)
JEL-codes: L8 L81 M3 (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0165176518303823
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ecolet:v:172:y:2018:i:c:p:157-159
DOI: 10.1016/j.econlet.2018.09.004
Access Statistics for this article
Economics Letters is currently edited by Economics Letters Editorial Office
More articles in Economics Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().