LEADER 01526nam 2200433 450 001 9910713365203321 005 20200331084010.0 035 $a(CKB)5470000002499990 035 $a(OCoLC)1147705519 035 $a(EXLCZ)995470000002499990 100 $a20200330d2010 ua 0 101 0 $aeng 135 $aurbn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHow to think about time-use data $ewhat inferences can we make about long- and short-run time use from time diaries? /$fHarley Frazis, Jay Stewart 210 1$aWashington, D.C. :$cU.S. Bureau of Labor Statistics,$d2010. 215 $a1 online resource (22 pages) 225 1 $aBLS working papers ;$vworking paper 442 300 $a"October 2010." 300 $a"November 2010"--Cover. 320 $aIncludes bibliographical references (pages 20-22). 517 $aHow to think about time-use data 606 $aTime management$xData processing 606 $aTime management$xMathematical models 606 $aTime management surveys 615 0$aTime management$xData processing. 615 0$aTime management$xMathematical models. 615 0$aTime management surveys. 700 $aFrazis$b Harley$01388496 702 $aStewart$b Jay$c(Economist), 712 02$aUnited States.$bBureau of Labor Statistics, 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910713365203321 996 $aHow to think about time-use data$93507312 997 $aUNINA