/*****************************************************************************/ /* 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." */ /*****************************************************************************/ DATA LIST FILE="H92.DAT" / DUPERSID 1-8 (A) PANEL 9-9 INSCAT1 10-11 AGESEX 12-13 LONGWT 14-26 (6) RRSHCCPV 27-35 (6) RRSASPV 36-44 (6) RRSHCCMC 45-53 (6) RRSASMC 54-62 (6) RRSHCCMD 63-71 (6) RRSASMD 72-80 (6) RRSHCCUN 81-89 (6) RRSASUN 90-98 (6) HCCPV 99-107 (6) ASPV 108-116 (6) HCCMC 117-125 (6) ASMC 126-134 (6) HCCMD 135-143 (6) ASMD 144-152 (6) YEARONE 153-153 . VARIABLE LABEL DUPERSID 'PERSON ID (DUID + PID)' PANEL 'PANEL FLAG' INSCAT1 'YR 1:TYPE OF INSURANCE COVERAGE' AGESEX 'DXCG AGESEX COMBINED GROUPING' LONGWT 'LONGITUDINAL WEIGHT' 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, UNINSURED' RRSASUN 'RELATIVE RISK SCORES, AGESEX,UNINSURED' HCCPV 'NOT NRMLZD RISK SCORES,HCC,PRIV&UNINS' ASPV 'NOT NRMLZD RISK SCORES,AGESX,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,AGESX,MCAID,0-64' YEARONE 'INDICATOR IF RECORD HAS YEAR ONE DATA' . VALUE LABELS AGESEX 1 '1 FEMALE AGE= 0-5' 10 '10 FEMALE AGE=65-69' 11 '11 FEMALE AGE=70-74' 12 '12 FEMALE AGE=75-79' 13 '13 FEMALE AGE=80-84' 14 '14 FEMALE AGE=85-89' 15 '15 FEMALE AGE=90-94' 16 '16 FEMALE AGE=95+' 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' 26 '26 MALE AGE=65-69' 27 '27 MALE AGE=70-74' 28 '28 MALE AGE=75-79' 29 '29 MALE AGE=80-84' 3 '3 FEMALE AGE=13-17' 30 '30 MALE AGE=85-89' 31 '31 MALE AGE=90-94' 32 '32 MALE AGE=95+' 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' / INSCAT1 -1 '-1 N/A' 1 '1 MEDICARE' 2 '2 PRIVATE' 3 '3 MEDICAID' 4 '4 UNINSURED' / PANEL 1 '1 PANEL 1 (1996-1997)' 2 '2 PANEL 2 (1997-1998)' 3 '3 PANEL 3 (1998-1999)' 4 '4 PANEL 4 (1999-2000)' 5 '5 PANEL 5 (2000-2001)' 6 '6 PANEL 6 (2001-2002)' 7 '7 PANEL 7 (2002-2003)' 8 '8 PANEL 8 (2003-2004)' 9 '9 PANEL 9 (2004-2005)' / YEARONE 1 '1 RECORD HAS YEAR ONE DATA' 2 '2 RECORD DOES NOT HAVE YEAR ONE DATA' . EXECUTE.