**********************************************. * Final production run of program to merge . * various datasets existing in in SPSS format . * to create analysis dataset for SPPQ paper . * Leonard Ray October 2004 . **********************************************. * This section of code merges three datasets on state attorneys general. * ags.sav Historical data on AG's and NAAG training. * naagbudgt.sav NAAG budget numbers already adjusted for inflation. * naagstaff.sav NAAG staff and salary data and state level CPI numbers. * linear interpolation is used to fill in missing data on staff and salary. MATCH FILES /FILE "C:\My Documents\research\COA_AG\ags.sav" /FILE "C:\My Documents\research\COA_AG\naagbudgt.sav" /FILE "C:\My Documents\research\COA_AG\naagstaffandcpi.sav" /BY STATE YEAR. * Counting each part time attorney as half a full time attorney. recode ptattny (sysmis=0). compute attnys=(fullattn+.5*ptattny). * interpolation to fill in missing staff, salary, and budget data. MISSING VALUES naagbud staff realsal(0). RMV salary_i = LINT(realsal). RMV staff_i = LINT(staff). RMV attny_i = LINT(attnys). RMV other_i = LINT(other). RMV budgeti = LINT(naagbud). RMV entry_i = LINT(entry_rl). RMV entsal_i = LINT(entrysal). compute entsal_x = entsal_i *(100/statecpi). compute bgtpcap = budgeti/statepop. VARIABLE LABELS attnys 'total attorneys incl part time attorneys as 1/2'. VARIABLE LABELS bgtpcap 'NAAG budget in 1999 dollars per capita'. VARIABLE LABELS entsal_x 'entry level salary adjusted for inflation and state cost of living'. execute. COMPUTE service = (year-firstyr) +1 . VARIABLE LABELS service 'Years of service' . EXECUTE . COMPUTE logsrvc = ln(service) . VARIABLE LABELS logsrvc 'log of years of service' . EXECUTE . *measure for first term AG. compute term1=0. if (service le 4) term1=1. SAVE OUTFILE='C:\My Documents\research\COA_AG\TEMP\fullags.sav'. ********************************************************************. * THIS SECTION MERGES JUDICIAL CHARACTERISTIC DATA FROM AUBURN WITH CASE DATA FROM SONGER. ** MERGING IN PANEL CHARACTERISTICS. MATCH FILES FILE='C:\My Documents\research\COA_Ag\CoAdata.sav' /FILE='C:\My Documents\research\COA_AG\TEMP\PANELS.sav' /BY CASENUM. EXECUTE. ** MERGING IN CIRCUIT CHARACTERISTICS. SORT CASES BY year circuit. MATCH FILES FILE=* /TABLE='C:\My Documents\research\COA_AG\TEMP\circuits.sav' /BY year circuit. EXECUTE. SAVE OUTFILE='C:\My Documents\research\COA_AG\TEMP\temp.sav'. EXECUTE. ********************************************************************. * THIS SECTION MERGES EXTRACTed CASES WITH AG INVOLVEMENT. * AND DUPLICATES RECORDS FOR STATE VS STATE CASES. * writing out cases with AG's as appelant counsel. * reading in smaller version of SONGER data. GET FILE='C:\My Documents\research\COA_AG\TEMP\TEMP.sav'. *Selecting cases with AG as counsel for appellant. SELECT IF (counsel1 eq 6). SELECT IF (ap_stid le 50). COMPUTE agstate=ap_stid. COMPUTE PETITION=1. SAVE OUTFILE='C:\My Documents\research\COA_AG\TEMP\AGappel.sav'. *writing out cases with AG's as respondent counsel. * reading in smaller version of SONGER data. GET FILE='C:\My Documents\research\COA_AG\TEMP\TEMP.sav'. *Selecting cases with AG as counsel for repondent. SELECT IF (counsel2 eq 6). SELECT IF (r_stid le 50). COMPUTE agstate=r_stid. COMPUTE PETITION=0. SAVE OUTFILE='C:\My Documents\research\COA_AG\TEMP\AGresp.sav'. * Merging appelant and respondent cases. * to create double entries for AG vs AG cases. ADD FILES FILE='C:\My Documents\research\COA_AG\TEMP\AGappel.sav' /FILE='C:\My Documents\research\COA_AG\TEMP\AGresp.sav' /DROP=state. *creating dummy for petitioner or respondent victory. * "P" petitioner victory "R" respondent victory. string winner (A1). compute winner=' '. if (treat eq 1 or treat eq 8) winner = 'R'. if (treat eq 0 or treat eq 2 or treat eq 3 or treat eq 4 or treat eq 7) winner = 'P'. *creating dummy for AG victory or loss. * 1 equals win, 0 equals loss. numeric agwin. compute agwin = 0. if (counsel1 eq 6 and winner eq 'P') agwin = 1. if (counsel2 eq 6 and winner eq 'R') agwin = 1. *creating dummy for Criminal cases. compute criminal=0. if (typeiss eq 1) criminal=1. *creating circuit dummies. compute circdc =0. compute circ1 =0. compute circ2 =0. compute circ3 =0. compute circ4 =0. compute circ5 =0. compute circ6 =0. compute circ7 =0. compute circ8 =0. compute circ9 =0. compute circ10 =0. compute circ11 =0. if (circuit eq 0) circdc=1. if (circuit eq 1) circ1 =1. if (circuit eq 2) circ2 =1. if (circuit eq 3) circ3 =1. if (circuit eq 4) circ4 =1. if (circuit eq 5) circ5 =1. if (circuit eq 6) circ6 =1. if (circuit eq 7) circ7 =1. if (circuit eq 8) circ8 =1. if (circuit eq 9) circ9 =1. if (circuit eq 10) circ10=1. if (circuit eq 11) circ11=1. STRING state (A2). IF (agstate EQ 1) state = 'AL'. IF (agstate EQ 2) state = 'AK'. IF (agstate EQ 3) state = 'AZ'. IF (agstate EQ 4) state = 'AR'. IF (agstate EQ 5) state = 'CA'. IF (agstate EQ 6) state = 'CO'. IF (agstate EQ 7) state = 'CT'. IF (agstate EQ 8) state = 'DE'. IF (agstate EQ 9) state = 'FL'. IF (agstate EQ 10) state = 'GA'. IF (agstate EQ 11) state = 'HI'. IF (agstate EQ 12) state = 'ID'. IF (agstate EQ 13) state = 'IL'. IF (agstate EQ 14) state = 'IN'. IF (agstate EQ 15) state = 'IA'. IF (agstate EQ 16) state = 'KS'. IF (agstate EQ 17) state = 'KY'. IF (agstate EQ 18) state = 'LA'. IF (agstate EQ 19) state = 'ME'. IF (agstate EQ 20) state = 'MD'. IF (agstate EQ 21) state = 'MA'. IF (agstate EQ 22) state = 'MI'. IF (agstate EQ 23) state = 'MN'. IF (agstate EQ 24) state = 'MS'. IF (agstate EQ 25) state = 'MO'. IF (agstate EQ 26) state = 'MT'. IF (agstate EQ 27) state = 'NE'. IF (agstate EQ 28) state = 'NV'. IF (agstate EQ 29) state = 'NH'. IF (agstate EQ 30) state = 'NJ'. IF (agstate EQ 31) state = 'NM'. IF (agstate EQ 32) state = 'NY'. IF (agstate EQ 33) state = 'NC'. IF (agstate EQ 34) state = 'ND'. IF (agstate EQ 35) state = 'OH'. IF (agstate EQ 36) state = 'OK'. IF (agstate EQ 37) state = 'OR'. IF (agstate EQ 38) state = 'PA'. IF (agstate EQ 39) state = 'RI'. IF (agstate EQ 40) state = 'SC'. IF (agstate EQ 41) state = 'SD'. IF (agstate EQ 42) state = 'TN'. IF (agstate EQ 43) state = 'TX'. IF (agstate EQ 44) state = 'UT'. IF (agstate EQ 45) state = 'VT'. IF (agstate EQ 46) state = 'VA'. IF (agstate EQ 47) state = 'WA'. IF (agstate EQ 48) state = 'WV'. IF (agstate EQ 49) state = 'WI'. IF (agstate EQ 50) state = 'WY'. *recoding state for cases with missing state id. DO IF (agstate EQ 0). IF (casenum EQ 3043.00) state = 'IL'. IF (casenum EQ 3059.00) state = 'IL'. IF (casenum EQ 3140.00) state = 'KS'. IF (casenum EQ 2553.00) state = 'NY'. IF (casenum EQ 2715.00) state = 'IL'. IF (casenum EQ 2757.00) state = 'IL'. IF (casenum EQ 2334.00) state = 'OH'. IF (casenum EQ 2355.00) state = 'IL'. IF (casenum EQ 2475.00) state = 'AL'. IF (casenum EQ 1891.00) state = 'MD'. IF (casenum EQ 1978.00) state = 'KY'. IF (casenum EQ 1832.00) state = 'NY'. IF (casenum EQ 2078.00) state = 'UT'. IF (casenum EQ 1576.00) state = 'TX'. IF (casenum EQ 1766.00) state = 'FL'. IF (casenum EQ 1659.00) state = 'MO'. IF (casenum EQ 1750.00) state = 'FL'. IF (casenum EQ 1128.00) state = 'NY'. IF (casenum EQ 1119.00) state = 'NY'. IF (casenum EQ 1386.00) state = 'FL'. IF (casenum EQ 950.00) state = 'SD'. IF (casenum EQ 771.00) state = 'CT'. IF (casenum EQ 1008.00) state = 'OK'. IF (casenum EQ 1039.00) state = 'AL'. IF (casenum EQ 551.00) state = 'IL'. IF (casenum EQ 548.00) state = 'IL'. IF (casenum EQ 576.00) state = 'MO'. IF (casenum EQ 689.00) state = 'GA'. IF (casenum EQ 216.00) state = 'NE'. IF (casenum EQ 124.00) state = 'TX'. IF (casenum EQ 139.00) state = 'LA'. END IF. SELECT IF (state NE ""). * marker for largest state per circuit. compute biggest=0. if state eq "MA" biggest=1. if state eq "NY" biggest=1. if state eq "PA" biggest=1. if state eq "NC" biggest=1. if state eq "TX" biggest=1. if state eq "OH" biggest=1. if state eq "IL" biggest=1. if state eq "MO" biggest=1. if state eq "CA" biggest=1. if state eq "CO" biggest=1. if state eq "FL" biggest=1. execute. ********************************************************************************. * CREATING YET MORE VARIABLES USED IN ANALYSIS OF AG SUCCESS IN APPELATE COURTS . *********************************************************************************. *STRONG OPPONENT VARIABLE. compute strgopp = 0 . VARIABLE LABELS strgopp 'strong opposition' . EXECUTE . DO IF (((petition=0) & ((genapel1=1) or (genapel1=3))) ) . RECODE strgopp (0=1) . END IF . EXECUTE . DO IF (((petition=1) & ((genresp1=1) or (genresp1=3))) ). RECODE strgopp (0=1) . END IF. EXECUTE . *CASE COMPLEXITY VARIABLE. COMPUTE opinlgth = (endpage-beginpg). VARIABLE LABELS opinlgth 'Length of the opinion for complexity'. COMPUTE complex=0. IF (opinlgth GT 6.6) complex = 1. VARIABLE LABELS complex 'decisions over 6 pages are complex'. EXECUTE. ** Computing two measures of USSC pro state orientation. **proscdum is a dummy coded 1 after thomas completes the pro state bloc. COMPUTE proscdum = 0. VARIABLE LABEL proscdum 'Dummy for Pro-state Supreme bloc'. DO IF year>1991 . RECODE proscdum (0=1) . END IF . EXECUTE . **proussc is a count of pro state justices on the USSC. COMPUTE proussc = 0. VARIABLE LABEL proussc 'Count for Pro-state Supreme bloc'. *Rehnquist appointment equals 1 lagged one year for effect. DO IF ((year>1971) & (year < 1982)). RECODE proussc (0=1). END IF. EXECUTE. *O'Connor equals 2. DO IF ((year>1981) & (year < 1987)). RECODE proussc (0=2). END IF. EXECUTE. *Scalia equals 3. DO IF ((year>1986) & (year < 1989)). RECODE proussc (0=3). END IF. EXECUTE. *Kennedy equals 4. DO IF ((year>1988) & (year < 1991)). RECODE proussc (0=4). END IF. EXECUTE. DO IF year>1991 . RECODE proussc (0=5) . END IF . EXECUTE. ** dummy variable for economic cases. COMPUTE economic=0. VARIABLE LABEL economic 'economic case'. DO IF ((geniss = 6) | (geniss = 7)). RECODE economic (0=1). END IF. execute. *Creating criminal petitioner variable. *To create the interaction term, I need to reverse the coding on the petition variable, so that the interaction codes criminal petitioners as 1. COMPUTE pet2=0. execute. DO IF petition=1. RECODE pet2 (0=1). END IF. DO IF petition=0. RECODE pet2 (1=0). END IF. EXECUTE. compute crimpet=criminal*pet2. VARIABLE LABEL crimpet 'criminal petitions interaction'. execute. **creating prisoner appelant cases term. * identify appeals by individuals. IF (genapel1 = 7) indiv=1. IF (genapel1 ~= 7) indiv=0. EXECUTE. *identify civil prisoner cases. IF ((casetyp1 = 201) | (casetyp1 = 202) | (casetyp1 = 203) | (casetyp1 =204) | (casetyp1 =205) | (casetyp1 =206) | (casetyp1 =207) | (casetyp1 = 208) | (casetyp1 =209)) civpris =1. IF ((casetyp1<201) | (casetyp1 >209)) civpris=0. EXECUTE. *Dummy for prisoner appellants. COMPUTE defpris=0. DO IF ((indiv = 1) & ((geniss = 1)| (civpris=1))). RECODE defpris (0=1). END IF. VARIABLE LABEL defpris 'prisoner appellant'. EXECUTE. *dummy for private party economic appeals. COMPUTE private=0. IF (indiv eq 1) private =1. compute pveconap=economic*(1-petition)*private. VARIABLE LABEL pveconap 'private economi apellant'. EXECUTE. *. COMPUTE demmaj=0. VARIABLE LABEL demmaj 'panel of judges has a democratic majority'. DO IF (dempanel GT .5). RECODE demmaj (0=1). END IF. EXECUTE. *******. **Creating indicator for policy cases. *identify reversals. IF ((treat=2)| (treat=3)| (treat=4)) reverse = 1 . IF ((treat<2)| (treat>4)) reverse = 0. VARIABLE LABELS reverse 'did the circuit reverse in any form or fashion?' . *identify dissents. IF ((reverse=1) | (dissent>0)) policy = 1. IF ((reverse=0) & (dissent=0)) policy = 0. VARIABLE LABELS policy 'case that either reversed the lower court or had a dissent'. EXECUTE. **creating a variable to determine directionality of lower court decision. **when we do this, we lose the cases that are reversed and affirmed in part. **this totals about 130 cases. **this variable can also be used to label the directionality of the petitioner and respondent in each case. IF (((treat=2) | (treat=3)|(treat=4)|(treat=7)) & direct1=1) lwrctdir = 3 . VARIABLE LABELS lwrctdir 'directionality of lower court decision' . IF (((treat=2) | (treat=3)|(treat=4)|(treat=7)) & direct1=3) lwrctdir = 1 . IF (((treat=1) | (treat=8)) & direct1=3) lwrctdir=3. IF (((treat=1) | (treat=8)) & direct1=1) lwrctdir=1. EXECUTE . **Now creating a variable indicating the directionality of the state's position based upon whether the state is petitioning or responding and the direction of the lower court decision. IF (petition=1) & (lwrctdir=3) statideo=1. IF (petition=0) & (lwrctdir=3) statideo=-1. IF (petition=1) & (lwrctdir=1) statideo=-1. IF (petition=0) & (lwrctdir=1) statideo=1. VARIABLE LABELS statideo 'directionality of state side'. EXECUTE. * variable for ideological agreement of state brief and panel. compute agree_p=statideo*nompanel. VARIABLE LABELS agree_p 'ideological agreement of state brief and panel'. * variable for ideological agreement of state brief and circuit. compute agree_c=statideo*nominate. sort cases by state year circuit. SAVE OUTFILE='C:\My Documents\research\COA_AG\TEMP\AGCASES.sav'. execute. MATCH FILES FILE='C:\My Documents\research\COA_AG\TEMP\AGCASES.sav' /TABLE='C:\My Documents\research\COA_AG\TEMP\fullags.sav' /BY state year. **** AG / Panel party agreement . RECODE party (1=-1) (0=1) INTO agptyrev . VARIABLE LABELS agptyrev 'ag party with dems as 1'. execute. RECODE demmaj (1=1) (0=-1) INTO dempmajr . VARIABLE LABELS agptyrev 'ag party with dems as 1 and reps as -1'. VARIABLE LABELS dempmajr 'panel party with reps as -1'. compute agpanel2=agptyrev*dempmajr. VARIABLE LABELS agpanel2 'ag and panel of judges are same party' . execute. ******************************************************************. Writing out data used for LOGIT and Clarify analyses of AG success. ******************************************************************. SAVE OUTFILE='C:\My Documents\research\COA_AG\analysis.sav'. EXECUTE. ********************** END OF SYNTAX **************************.