/*****************************************************************************/ /* SPSS User Files are being provided for the convenience of analysts who */ /* may wish to use SPSS to analyze the MEPS data. However, users are */ /* cautioned that SPSS does not currently have the capability to produce */ /* appropriate standard errors for estimates from a survey with a complex */ /* sample design like the Medical Expenditure Panel Survey (MEPS). The */ /* annual national probability sample of households selected for the MEPS */ /* is a subsample of those participating in the National Health Interview */ /* Survey (NHIS) for the previous calendar year. The NHIS, an ongoing */ /* general health survey of the civilian noninstitutionalized population, */ /* is conducted by the National Center for Health Statistics, Centers for */ /* Disease Control and Prevention. The NHIS sample design, and thus that */ /* of the MEPS, uses complex sampling techniques including */ /* stratification, clustering, and differential sampling rates for the */ /* oversampling of selected subgroups of the population. Because of this */ /* sampling structure, software that accounts for this complex sample */ /* design must be used. Without the use of appropriate software that */ /* accounts for the complex sample design of the MEPS in conjunction with */ /* the survey's sampling weights (reflecting the survey's sample */ /* selection probabilities and nonresponse and other adjustments), the */ /* estimated standard errors of survey point estimates will generally be */ /* underestimated, and, thus, the inferential conclusions in an analysis */ /* (descriptive or analytical) may be misleading. It is recommended that */ /* sample survey software be used to analyze the MEPS data. Software for */ /* analysis of complex survey data include, for example, SUDAAN (Research */ /* Triangle Institute), STATA (Stata Corporation), VPLX (U.S. Bureau of */ /* the Census), and WESVAR (Westat, Inc.). A more comprehensive summary */ /* of software for the analysis of data from surveys with complex sample */ /* designs can be accessed through the website for the American */ /* Statistical Association's Survey Research Methods Section. Users may */ /* also reference the Agency for Healthcare Research and Quality (AHRQ) */ /* web document "Computing Standard Errors for Medical Expenditure Panel */ /* Survey (MEPS) Estimates." */ /*****************************************************************************/ FILE HANDLE INFILE NAME="H140.DAT" /LRECL=158. DATA LIST FILE=INFILE / DUPERSID 1-8 (A) PANEL 9-10 YEARONE 11-11 INSCAT1 12-13 AGESEXPV 14-15 AGESEXMC 16-17 AGESEXMD 18-19 RRSHCCPV 20-28 (6) RRSASPV 29-37 (6) RRSHCCMC 38-46 (6) RRSASMC 47-55 (6) RRSHCCMD 56-64 (6) RRSASMD 65-73 (6) RRSHCCUN 74-82 (6) RRSASUN 83-91 (6) HCCPV 92-100 (6) ASPV 101-109 (6) HCCMC 110-118 (6) ASMC 119-127 (6) HCCMD 128-136 (6) ASMD 137-145 (6) LONGWT 146-158 (6) . VARIABLE LABEL DUPERSID 'PERSON ID (DUID + PID)' PANEL 'PANEL FLAG' YEARONE 'INDICATOR IF RECORD HAS YEAR ONE DATA' INSCAT1 'YR 1: TYPE OF INSURANCE COVERAGE' AGESEXPV 'DXCG AGESEX COMBINED GROUP, PRIVATE' AGESEXMC 'DXCG AGESEX COMBINED GROUP, MCARE' AGESEXMD 'DXCG AGESEX COMBINED GROUP, MCAID, 0-64' RRSHCCPV 'RELATIVE RISK SCORES, HCC, PRIVATE' RRSASPV 'RELATIVE RISK SCORES, AGESEX, PRIVATE' RRSHCCMC 'RELATIVE RISK SCORES, HCC, MCARE' RRSASMC 'RELATIVE RISK SCORES, AGESEX, MCARE' RRSHCCMD 'RELATIVE RISK SCORES, HCC, MCAID, 0-64' RRSASMD 'RELATIVE RISK SCORES, AGESEX, MCAID,0-64' RRSHCCUN 'RELATIVE RISK SCORES,HCC,PRIV,NORM UNINS' RRSASUN 'RELT RISK SCORES, AGESEX,PRIV,NORM UNINS' HCCPV 'NOT NRMLZD RISK SCORES, HCC, PRIV&UNINS' ASPV 'NOT NRMLZD RISK SCORES,AGESEX,PRIV&UNINS' HCCMC 'NOT NRMLZD RISK SCORES, HCC, MCARE' ASMC 'NOT NRMLZD RISK SCORES, AGESEX, MCARE' HCCMD 'NOT NRMLZD RISK SCORES, HCC, MCAID, 0-64' ASMD 'NOT NRMLZD RISK SCORES,AGESEX,MCAID,0-64' LONGWT 'LONGITUDINAL WEIGHT' . VALUE LABELS AGESEXMC -9 '-9 RECORD DOES NOT HAVE YEAR ONE DATA' 1 '1 FEMALE AGE 0-1' 10 '10 FEMALE AGE 60-64' 11 '11 FEMALE AGE 65-69' 12 '12 FEMALE AGE 70-74' 13 '13 FEMALE AGE 75-79' 14 '14 FEMALE AGE 80-84' 15 '15 FEMALE AGE 85+' 18 '18 MALE AGE 0-1' 19 '19 MALE AGE 2-5' 2 '2 FEMALE AGE 2-5' 20 '20 MALE AGE 6-12' 21 '21 MALE AGE 13-17' 22 '22 MALE AGE 18-24' 23 '23 MALE AGE 25-34' 24 '24 MALE AGE 35-44' 25 '25 MALE AGE 45-54' 26 '26 MALE AGE 55-59' 27 '27 MALE AGE 60-64' 28 '28 MALE AGE 65-69' 29 '29 MALE AGE 70-74' 3 '3 FEMALE AGE 6-12' 30 '30 MALE AGE 75-79' 31 '31 MALE AGE 80-84' 32 '32 MALE AGE 85+' 4 '4 FEMALE AGE 13-17' 5 '5 FEMALE AGE 18-24' 6 '6 FEMALE AGE 25-34' 7 '7 FEMALE AGE 35-44' 8 '8 FEMALE AGE 45-54' 9 '9 FEMALE AGE 55-59' / AGESEXMD -1 '-1 PERSONS AGE 65+' -9 '-9 RECORD DOES NOT HAVE YEAR ONE DATA' 1 '1 FEMALE AGE 0-5' 17 '17 MALE AGE 0-5' 18 '18 MALE AGE 6-12' 19 '19 MALE AGE 13-17' 2 '2 FEMALE AGE 6-12' 20 '20 MALE AGE 18-24' 21 '21 MALE AGE 25-34' 22 '22 MALE AGE 35-44' 23 '23 MALE AGE 45-54' 24 '24 MALE AGE 55-59' 25 '25 MALE AGE 60-64' 3 '3 FEMALE AGE 13-17' 4 '4 FEMALE AGE 18-24' 5 '5 FEMALE AGE 25-34' 6 '6 FEMALE AGE 35-44' 7 '7 FEMALE AGE 45-54' 8 '8 FEMALE AGE 55-59' 9 '9 FEMALE AGE 60-64' / AGESEXPV -9 '-9 RECORD DOES NOT HAVE YEAR ONE DATA' 1 '1 FEMALE AGE 0-1' 10 '10 FEMALE AGE 60-64' 11 '11 FEMALE AGE 65-69' 12 '12 FEMALE AGE 70-74' 13 '13 FEMALE AGE 75-79' 14 '14 FEMALE AGE 80-84' 15 '15 FEMALE AGE 85+' 18 '18 MALE AGE 0-1' 19 '19 MALE AGE 2-5' 2 '2 FEMALE AGE 2-5' 20 '20 MALE AGE 6-12' 21 '21 MALE AGE 13-17' 22 '22 MALE AGE 18-24' 23 '23 MALE AGE 25-34' 24 '24 MALE AGE 35-44' 25 '25 MALE AGE 45-54' 26 '26 MALE AGE 55-59' 27 '27 MALE AGE 60-64' 28 '28 MALE AGE 65-69' 29 '29 MALE AGE 70-74' 3 '3 FEMALE AGE 6-12' 30 '30 MALE AGE 75-79' 31 '31 MALE AGE 80-84' 32 '32 MALE AGE 85+' 4 '4 FEMALE AGE 13-17' 5 '5 FEMALE AGE 18-24' 6 '6 FEMALE AGE 25-34' 7 '7 FEMALE AGE 35-44' 8 '8 FEMALE AGE 45-54' 9 '9 FEMALE AGE 55-59' / ASMC -9 '-9 RECORD DOES NOT HAVE YEAR ONE DATA' 0.692 '0.692' 0.717 '0.717' 0.756 '0.756' 0.827 '0.827' 0.897 '0.897' 0.916 '0.916' 0.917 '0.917' 0.975 '0.975' 0.991 '0.991' 1.005 '1.005' 1.075 '1.075' 1.106 '1.106' 1.108 '1.108' 1.159 '1.159' 1.207 '1.207' 1.228 '1.228' 1.288 '1.288' 1.29 '1.290' 1.318 '1.318' 1.456 '1.456' / ASMD -1 '-1 PERSONS AGE 65+' -9 '-9 RECORD DOES NOT HAVE YEAR ONE DATA' 0.105 '0.105' 0.113 '0.113' 0.14 '0.140' 0.15 '0.150' 0.175 '0.175' 0.204 '0.204' 0.408 '0.408' 0.485 '0.485' 0.762 '0.762' 0.869 '0.869' 0.914 '0.914' 1.127 '1.127' 1.137 '1.137' 1.215 '1.215' 1.224 '1.224' 1.354 '1.354' 1.401 '1.401' 1.407 '1.407' / ASPV -9 '-9 RECORD DOES NOT HAVE YEAR ONE DATA' 0.285 '0.285' 0.326 '0.326' 0.337 '0.337' 0.398 '0.398' 0.399 '0.399' 0.46 '0.460' 0.472 '0.472' 0.49 '0.490' 0.627 '0.627' 0.665 '0.665' 0.712 '0.712' 0.747 '0.747' 1.064 '1.064' 1.117 '1.117' 1.184 '1.184' 1.441 '1.441' 1.77 '1.770' 1.813 '1.813' 2.161 '2.161' 2.209 '2.209' 2.225 '2.225' 2.656 '2.656' 2.759 '2.759' 3.338 '3.338' / HCCMC -1 '-1 PERSONS AGE 65+' -9 '-9 RECORD DOES NOT HAVE YEAR ONE DATA' / HCCMD -1 '-1 PERSONS AGE 65+' -9 '-9 RECORD DOES NOT HAVE YEAR ONE DATA' / HCCPV -1 '-1 PERSONS AGE 65+' -9 '-9 RECORD DOES NOT HAVE YEAR ONE DATA' / INSCAT1 -9 '-9 RECORD DOES NOT HAVE YEAR ONE DATA' 1 '1 MEDICARE' 2 '2 PRIVATE' 3 '3 MEDICAID' 4 '4 UNINSURED' / PANEL 10 'PANEL 10 (2005-2006)' 11 'PANEL 11 (2006-2007)' 12 'PANEL 12 (2007-2008)' 13 'PANEL 13 (2008-2009)' 14 'PANEL 14 (2009-2010)' 7 'PANEL 7 (2002-2003)' 8 'PANEL 8 (2003-2004)' 9 'PANEL 9 (2004-2005)' / RRSASMC -1 '-1 PERSONS AGE 65+' -9 '-9 RECORD DOES NOT HAVE YEAR ONE DATA' / RRSASMD -1 '-1 PERSONS AGE 65+' -9 '-9 RECORD DOES NOT HAVE YEAR ONE DATA' / RRSASPV -1 '-1 PERSONS AGE 65+' -9 '-9 RECORD DOES NOT HAVE YEAR ONE DATA' / RRSASUN -1 '-1 PERSONS AGE 65+' -9 '-9 RECORD DOES NOT HAVE YEAR ONE DATA' / RRSHCCMC -1 '-1 PERSONS AGE 65+' -9 '-9 RECORD DOES NOT HAVE YEAR ONE DATA' / RRSHCCMD -1 '-1 PERSONS AGE 65+' -9 '-9 RECORD DOES NOT HAVE YEAR ONE DATA' / RRSHCCPV -1 '-1 PERSONS AGE 65+' -9 '-9 RECORD DOES NOT HAVE YEAR ONE DATA' / RRSHCCUN -1 '-1 PERSONS AGE 65+' -9 '-9 RECORD DOES NOT HAVE YEAR ONE DATA' / YEARONE 1 '1 RECORD HAS YEAR ONE DATA' 2 '2 RECORD DOES NOT HAVE YEAR ONE DATA' . EXECUTE.