/*****************************************************************************/ /* 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="H36U17.DAT" /LRECL=45. DATA LIST FILE=INFILE / DUID 1-5 PID 6-8 DUPERSID 9-16 (A) PANEL 17-18 INH12 19-19 INH20 20-20 INH28 21-21 INH38 22-22 INH50 23-23 INH60 24-24 INH70 25-25 INH79 26-26 INH89 27-27 INH97 28-28 INH105 29-29 INH113 30-30 INH121 31-31 INH129 32-32 INH138 33-33 INH147 34-34 INH155 35-35 INH163 36-36 INH171 37-37 INH181 38-38 INH192 39-39 INH201 40-40 STRA9617 41-44 PSU9617 45-45 . VARIABLE LABEL DUID 'DWELLING UNIT ID' PID 'PERSON NUMBER' DUPERSID 'PERSON ID (DUID + PID)' PANEL 'PANEL NUMBER' INH12 'IN H12 POPULATION (1996 FY)' INH20 'IN H20 POPULATION (1997 FY)' INH28 'IN H28 POPULATION (1998 FY)' INH38 'IN H38 POPULATION (1999 FY)' INH50 'IN H50 POPULATION (2000 FY)' INH60 'IN H60 POPULATION (2001 FY)' INH70 'IN H70 POPULATION (2002 FY)' INH79 'IN H79 POPULATION (2003 FY)' INH89 'IN H89 POPULATION (2004 FY)' INH97 'IN H97 POPULATION (2005 FY)' INH105 'IN H105 POPULATION (2006 FY)' INH113 'IN H113 POPULATION (2007 FY)' INH121 'IN H121 POPULATION (2008 FY)' INH129 'IN H129 POPULATION (2009 FY)' INH138 'IN H138 POPULATION (2010 FY)' INH147 'IN H147 POPULATION (2011 FY)' INH155 'IN H155 POPULATION (2012 FY)' INH163 'IN H163 POPULATION (2013 FY)' INH171 'IN H171 POPULATION (2014 FY)' INH181 'IN H181 POPULATION (2015 FY)' INH192 'IN H192 POPULATION (2016 FY)' INH201 'IN H201 POPULATION (2017 FY)' STRA9617 'COMBINED VARIANCE STRATUM: 1996-2017' PSU9617 'COMBINED VARIANCE PSU: 1996-2017' . VALUE LABELS INH105 1 '1 YES' 2 '2 NO' / INH113 1 '1 YES' 2 '2 NO' / INH12 1 '1 YES' 2 '2 NO' / INH121 1 '1 YES' 2 '2 NO' / INH129 1 '1 YES' 2 '2 NO' / INH138 1 '1 YES' 2 '2 NO' / INH147 1 '1 YES' 2 '2 NO' / INH155 1 '1 YES' 2 '2 NO' / INH163 1 '1 YES' 2 '2 NO' / INH171 1 '1 YES' 2 '2 NO' / INH181 1 '1 YES' 2 '2 NO' / INH192 1 '1 YES' 2 '2 NO' / INH20 1 '1 YES' 2 '2 NO' / INH201 1 '1 YES' 2 '2 NO' / INH28 1 '1 YES' 2 '2 NO' / INH38 1 '1 YES' 2 '2 NO' / INH50 1 '1 YES' 2 '2 NO' / INH60 1 '1 YES' 2 '2 NO' / INH70 1 '1 YES' 2 '2 NO' / INH79 1 '1 YES' 2 '2 NO' / INH89 1 '1 YES' 2 '2 NO' / INH97 1 '1 YES' 2 '2 NO' / PANEL 1 '1 PANEL 1' 10 '10 PANEL 10' 11 '11 PANEL 11' 12 '12 PANEL 12' 13 '13 PANEL 13' 14 '14 PANEL 14' 15 '15 PANEL 15' 16 '16 PANEL 16' 17 '17 PANEL 17' 18 '18 PANEL 18' 19 '19 PANEL 19' 2 '2 PANEL 2' 20 '20 PANEL 20' 21 '21 PANEL 21' 22 '22 PANEL 22' 3 '3 PANEL 3' 4 '4 PANEL 4' 5 '5 PANEL 5' 6 '6 PANEL 6' 7 '7 PANEL 7' 8 '8 PANEL 8' 9 '9 PANEL 9' . EXECUTE.