000019628 001__ 19628
000019628 005__ 20180122201540.0
000019628 037__ $$a375-2016-20194
000019628 041__ $$aen
000019628 245__ $$aESTIMATING SAMPLING VARIANCE FROM THE CURRENT POPULATION SURVEY: A SYNTHETIC DESIGN APPROACH TO CORRECTING STANDARD ERRORS
000019628 260__ $$c2002
000019628 269__ $$a2002
000019628 270__ $$mjolliffe@ers.usda.gov$$pJolliffe,   Dean
000019628 300__ $$a28
000019628 336__ $$aConference Paper/ Presentation
000019628 446__ $$aEnglish
000019628 490__ $$aSelected Paper
000019628 520__ $$aEssentially all empirical questions that are addressed with sample data require estimates of sampling variance. The econometrics and statistics literatures show that these estimates depend critically on the design of the sample. The sample for the U.S. Current Population Survey (CPS), which serves as the basis for official poverty, unemployment, and earnings estimates, results from a stratified and clustered design. Unfortunately, analysts are frequently unable to estimate sampling variance for many CPS statistics because the variables marking the strata and clusters are censored from the public-use data files. To compensate for this, the Bureau of Census provides a method to approximate the sampling variance for several, specific point estimates, but no general method exists for estimates that differ from these cases.  Similarly there are no corrections at all for regression estimates. This paper proposes a general approximation method that creates synthetic design variables for the estimation of sampling variance. The results from this method compare well with officially reported standard errors. This methodology allows the analyst to estimate sampling variance for a significantly wider class of estimates than previously possible, and therefore increases the usefulness of research resulting from the CPS data files.
000019628 650__ $$aResearch Methods/ Statistical Methods
000019628 700__ $$aJolliffe, Dean
000019628 8564_ $$s130861$$uhttp://ageconsearch.umn.edu/record/19628/files/sp02jo03.pdf
000019628 887__ $$ahttp://purl.umn.edu/19628
000019628 909CO $$ooai:ageconsearch.umn.edu:19628$$pGLOBAL_SET
000019628 912__ $$nMade available in DSpace on 2007-03-07T22:50:16Z (GMT). No. of bitstreams: 1
sp02jo03.pdf: 130861 bytes, checksum: d694b74e6e6b33ac4b639803cee50e74 (MD5)
  Previous issue date: 2002
000019628 982__ $$gAmerican Agricultural Economics Association>2002 Annual meeting, July 28-31, Long Beach, CA
000019628 980__ $$a375