TY - JOUR
AU - Manski, Charles F
TI - Communicating Uncertainty in Official Economic Statistics
JF - National Bureau of Economic Research Working Paper Series
VL - No. 20098
PY - 2014
Y2 - May 2014
DO - 10.3386/w20098
UR - http://www.nber.org/papers/w20098
L1 - http://www.nber.org/papers/w20098.pdf
N1 - Author contact info:
Charles F. Manski
Department of Economics
Northwestern University
2211 Campus Drive
Evanston, IL 60208-2600
Tel: 847/491-8223
Fax: 847/491-7001
E-Mail: cfmanski@northwestern.edu
AB - Federal statistical agencies in the United States and analogous agencies elsewhere commonly report official economic statistics as point estimates, without accompanying measures of error. Users of the statistics may incorrectly view them as error-free or may incorrectly conjecture error magnitudes. This paper discusses strategies to mitigate misinterpretation of official statistics by communicating uncertainty to the public. Sampling error can be measured using established statistical principles. The challenge is to satisfactorily measure the various forms of non-sampling error. I find it useful to distinguish transitory statistical uncertainty, permanent statistical uncertainty, and conceptual uncertainty. I illustrate how each arises as the Bureau of Economic Analysis periodically revises GDP estimates, the Census Bureau generates household income statistics from surveys with non-response, and the Bureau of Labor Statistics seasonally adjusts employment statistics.
ER -