LEADER 01611nam 2200421 450 001 9910717070703321 005 20211214142932.0 035 $a(CKB)5470000002527497 035 $a(OCoLC)1288449427 035 $a(EXLCZ)995470000002527497 100 $a20211214d2017 ua 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 13$aAn evaluation of using linked survey and administrative data to impute nonfilers to the population of tax return filers /$fShannon Mok 210 1$aWashington, D.C. :$cCongressional Budget Office,$d2017. 215 $a1 online resource (57 pages, 2 unnumbered pages) $ccolor illustration 225 1 $aWorking paper ;$v2017-06 300 $a"September 2017." 320 $aIncludes bibliographical references. 606 $aTax administration and procedure$zUnited States 606 $aDemographic surveys$zUnited States 606 $aTax returns$zUnited States$xSimulation methods 606 $aIncome tax$zUnited States$xSimulation methods 615 0$aTax administration and procedure 615 0$aDemographic surveys 615 0$aTax returns$xSimulation methods. 615 0$aIncome tax$xSimulation methods. 700 $aMok$b Shannon$01389405 712 02$aUnited States.$bCongressional Budget Office, 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910717070703321 996 $aAn evaluation of using linked survey and administrative data to impute nonfilers to the population of tax return filers$93499927 997 $aUNINA