. 
. cd /Users/robertyaffee/Documents/data/research/chwk/phase3/data/panel
/Users/robertyaffee/Documents/data/research/chwk/phase3/data/panel
{\smallskip}
. 
. use ch3wMaster27mar2012, clear
{\smallskip}
. 
. 
. 
. cap gen _mi_miss=0
{\smallskip}
. replace _mi_miss=0
(0 real changes made)
{\smallskip}
. 
. mi unset
(regular variables edu1 edu2 edu3 edu4 edu5 edu6 edu7 edu8 mar0w1 mar1w1 mar2w1
mar3w1 mar4w1 mar5w1 mar6w1 mar0w2 mar1w2 mar2w2 mar3w2 mar4w2 mar5w2 mar6w2
mar1w3 mar2w3 mar3w3 mar4w3 mar5w3 mar6w3 marrw1 marrw2 marrw3 childw1 childw2
childw3 emplw1 emplw2 emplw11 emplw12 emplw13 emplw14 emplw15 emplw16 emplw21
emplw22 emplw23 emplw24 emplw25 emplw26 emplw31 emplw32 emplw33 emplw34 emplw3
occ1w1 occ2w1 occ3w1 occ4w1 occ5w1 occ6w1 occ7w1 occ8w1 occ1w2 occ2w2 occ3w2
occ4w2 occ5w2 occ6w2 occ7w2 occ8w2 occ1w3 occ2w3 occ3w3 occ4w3 occ5w3 occ6w3
occ7w3 occ8w3 inc1w1 inc2w1 inc3w1 inc4w1 inc1w2 inc2w2 inc3w2 inc4w2 inc1w3
inc2w3 inc3w3 inc4w3 jsw1 jsw2 jsw3 deaw1 deaw2 deaw3 dvcew1 dvcew2 dvcew3
sepaw1 sepaw2 sepaw3 accdw1 accdw2 accdw3 cataw1 cataw2 cataw3 illw1 illw2
illw3 movew1 movew2 movew3 unregistered because not in {\sltt{m}}=0)
(imputed variables smokw1 beerw1 beerw2 beerw3 liqw1 medcow1 medcow3 hospw1
vishphw1 vishphw2 vishphw3 vishpw1 vishpw2 vishpw3 trgovw1 trgovw2 trgovw3
trrepw1 trrepw2 trrepw3 whp23er emplw35 defnw1 ecprw1 airw1 radw1 radw2 radw3
shfamw1 shfamw2 shfincw1 shhousw1 shrelaw2 suprtw1 sufamw1 sufamw3 suchrw1
unregistered because not in {\sltt{m}}=0)
(21 {\sltt{m}}=0 obs. now marked as incomplete)
{\smallskip}
            variables
    original          new                meaning
    \HLI{71}
    _mi_miss          mi_miss1           0=orig-complete, 1=orig-incomplete
    \HLI{71}
{\smallskip}
. xtset id wave
       panel variable:  id (strongly balanced)
        time variable:  wave, 1 to 3
                delta:  1 unit
{\smallskip}
. 
. title(Risk Perception)
{\smallskip}
{\smallskip}
*******************************************************************************
*******************************************************************************
*****                                                                     *****
*****                                                                     *****
*****                               (Risk                                 *****
*****                            Perception)                              *****
*****                                                                     *****
*****                                                                     *****
*****                                            27 Mar 2012    22:58:10  *****
*******************************************************************************
*******************************************************************************
{\smallskip}
{\smallskip}
{\smallskip}
. subtitle "self-reported Chornobyl health risk"
\HLI{79}
                                       Date and time:  27 Mar 2012    22:58:10
                                       Working directory:  /Users/robertyaffee/
> Documents/data/research/chwk/phase3/data/panel
                                       Stata data file:  ch3wMaster27mar2012.dt
> a
                                       Stata version:  12.1
                                       Operating system:  MacOSX   10.6.8  on  
> Macintosh (Intel 64-bit)  with  4  processors
                                       using  33554432 bytes of memory
  
self-reported Chornobyl health risk
\HLI{79}
{\smallskip}
. 
. lowess radhlw wave if gender==1, xlabel(1 2 3) ytitle(percent)  ///
>   title(Male reported Chornobyl health risk) 
{\smallskip}
. gr save mlrw.gph, replace
(file mlrw.gph saved)
{\smallskip}
. gr export mlrw.eps, replace
(file mlrw.eps written in EPS format)
{\smallskip}
. prais radhlw wave if gender==1
{\smallskip}
Number of gaps in sample:  339   (gap count includes panel changes)
(note: computations for rho restarted at each gap)
{\smallskip}
Iteration 0:  rho = 0.0000
Iteration 1:  rho = 0.8780
Iteration 2:  rho = 0.8780
Iteration 3:  rho = 0.8780
{\smallskip}
Prais-Winsten AR(1) regression -- iterated estimates
{\smallskip}
      Source {\VBAR}       SS       df       MS              Number of obs =    1020
\HLI{13}{\PLUS}\HLI{30}           F(  1,  1018) =  202.03
       Model {\VBAR}   53686.911     1   53686.911           Prob > F      =  0.0000
    Residual {\VBAR}  270514.931  1018   265.73176           R-squared     =  0.1656
\HLI{13}{\PLUS}\HLI{30}           Adj R-squared =  0.1648
       Total {\VBAR}  324201.842  1019  318.156862           Root MSE      =  16.301
{\smallskip}
\HLI{13}{\TOPT}\HLI{64}
      radhlw {\VBAR}      Coef.   Std. Err.      t    P>|t|     [95\% Conf. Interval]
\HLI{13}{\PLUS}\HLI{64}
        wave {\VBAR}   .8382353   .6251256     1.34   0.180    -.3884468    2.064917
       _cons {\VBAR}   44.87161   2.140397    20.96   0.000     40.67152    49.07171
\HLI{13}{\PLUS}\HLI{64}
         rho {\VBAR}   .8779693
\HLI{13}{\BOTT}\HLI{64}
Durbin-Watson statistic (original)    0.132716
Durbin-Watson statistic (transformed) 1.441720
{\smallskip}
. 
. 
. lowess radhlw wave if gender==2, xlabel(1 2 3) ytitle(percent)  ///
>   title(Female reported Chornobyl health risk) 
{\smallskip}
. gr save flrw.gph, replace
(file flrw.gph saved)
{\smallskip}
. gr export flrw.eps, replace  
(file flrw.eps written in EPS format)
{\smallskip}
. prais radhlw wave if gender==2
{\smallskip}
Number of gaps in sample:  362   (gap count includes panel changes)
(note: computations for rho restarted at each gap)
{\smallskip}
Iteration 0:  rho = 0.0000
Iteration 1:  rho = 0.8056
Iteration 2:  rho = 0.8056
Iteration 3:  rho = 0.8056
{\smallskip}
Prais-Winsten AR(1) regression -- iterated estimates
{\smallskip}
      Source {\VBAR}       SS       df       MS              Number of obs =    1088
\HLI{13}{\PLUS}\HLI{30}           F(  1,  1086) =  241.06
       Model {\VBAR}  95888.5564     1  95888.5564           Prob > F      =  0.0000
    Residual {\VBAR}  431980.989  1086   397.77255           R-squared     =  0.1817
\HLI{13}{\PLUS}\HLI{30}           Adj R-squared =  0.1809
       Total {\VBAR}  527869.546  1087  485.620557           Root MSE      =  19.944
{\smallskip}
\HLI{13}{\TOPT}\HLI{64}
      radhlw {\VBAR}      Coef.   Std. Err.      t    P>|t|     [95\% Conf. Interval]
\HLI{13}{\PLUS}\HLI{64}
        wave {\VBAR}   2.210414   .7407105     2.98   0.003     .7570282    3.663799
       _cons {\VBAR}   54.48048   2.183304    24.95   0.000     50.19651    58.76446
\HLI{13}{\PLUS}\HLI{64}
         rho {\VBAR}   .8056074
\HLI{13}{\BOTT}\HLI{64}
Durbin-Watson statistic (original)    0.213923
Durbin-Watson statistic (transformed) 1.400460
{\smallskip}
. gr combine mlrw.gph flrw.gph, cols(2)
{\smallskip}
. gr export mlrw.eps, replace
(file mlrw.eps written in EPS format)
{\smallskip}
. 
. subtitle "Familial Chornobyl related health risk"  
\HLI{79}
                                       Date and time:  27 Mar 2012    22:58:27
                                       Working directory:  /Users/robertyaffee/
> Documents/data/research/chwk/phase3/data/panel
                                       Stata data file:  ch3wMaster27mar2012.dt
> a
                                       Stata version:  12.1
                                       Operating system:  MacOSX   10.6.8  on  
> Macintosh (Intel 64-bit)  with  4  processors
                                       using  33554432 bytes of memory
  
Familial Chornobyl related health risk
\HLI{79}
{\smallskip}
. lowess radfmw wave if gender==1, xlabel(1 2 3) ytitle(percent)  ///
>   title(Male reported Familial) subti(Chornobyl-related health risk)
{\smallskip}
. gr save mfrw.gph, replace
(file mfrw.gph saved)
{\smallskip}
. gr export mfrw.eps, replace
(file mfrw.eps written in EPS format)
{\smallskip}
. prais radfmw wave if gender==1
{\smallskip}
Number of gaps in sample:  339   (gap count includes panel changes)
(note: computations for rho restarted at each gap)
{\smallskip}
Iteration 0:  rho = 0.0000
Iteration 1:  rho = 0.8178
Iteration 2:  rho = 0.8179
Iteration 3:  rho = 0.8179
{\smallskip}
Prais-Winsten AR(1) regression -- iterated estimates
{\smallskip}
      Source {\VBAR}       SS       df       MS              Number of obs =    1020
\HLI{13}{\PLUS}\HLI{30}           F(  1,  1018) =  155.32
       Model {\VBAR}  61891.4823     1  61891.4823           Prob > F      =  0.0000
    Residual {\VBAR}  405644.004  1018  398.471517           R-squared     =  0.1324
\HLI{13}{\PLUS}\HLI{30}           Adj R-squared =  0.1315
       Total {\VBAR}  467535.486  1019  458.817945           Root MSE      =  19.962
{\smallskip}
\HLI{13}{\TOPT}\HLI{64}
      radfmw {\VBAR}      Coef.   Std. Err.      t    P>|t|     [95\% Conf. Interval]
\HLI{13}{\PLUS}\HLI{64}
        wave {\VBAR}      2.925   .7654982     3.82   0.000     1.422865    4.427135
       _cons {\VBAR}   48.14155    2.30075    20.92   0.000      43.6268    52.65631
\HLI{13}{\PLUS}\HLI{64}
         rho {\VBAR}   .8179058
\HLI{13}{\BOTT}\HLI{64}
Durbin-Watson statistic (original)    0.235131
Durbin-Watson statistic (transformed) 1.482256
{\smallskip}
.   
. lowess radfmw wave if gender==2, xlabel(1 2 3) ytitle(percent)  ///
>   title(Female reported Familial) subti(Chornobyl-related health risk)
{\smallskip}
. gr save ffrw.gph, replace
(file ffrw.gph saved)
{\smallskip}
. gr export ffrw.eps, replace  
(file ffrw.eps written in EPS format)
{\smallskip}
.   
.  gr combine mfrw.gph ffrw.gph, cols(2)
{\smallskip}
.   
. prais radfmw wave if gender==2
{\smallskip}
Number of gaps in sample:  362   (gap count includes panel changes)
(note: computations for rho restarted at each gap)
{\smallskip}
Iteration 0:  rho = 0.0000
Iteration 1:  rho = 0.6893
Iteration 2:  rho = 0.6896
Iteration 3:  rho = 0.6896
{\smallskip}
Prais-Winsten AR(1) regression -- iterated estimates
{\smallskip}
      Source {\VBAR}       SS       df       MS              Number of obs =    1089
\HLI{13}{\PLUS}\HLI{30}           F(  1,  1087) =  150.86
       Model {\VBAR}  88114.8736     1  88114.8736           Prob > F      =  0.0000
    Residual {\VBAR}  634909.342  1087  584.093231           R-squared     =  0.1219
\HLI{13}{\PLUS}\HLI{30}           Adj R-squared =  0.1211
       Total {\VBAR}  723024.216  1088  664.544316           Root MSE      =  24.168
{\smallskip}
\HLI{13}{\TOPT}\HLI{64}
      radfmw {\VBAR}      Coef.   Std. Err.      t    P>|t|     [95\% Conf. Interval]
\HLI{13}{\PLUS}\HLI{64}
        wave {\VBAR}   4.256198   .8969594     4.75   0.000     2.496231    6.016166
       _cons {\VBAR}   56.28039   2.337086    24.08   0.000     51.69468     60.8661
\HLI{13}{\PLUS}\HLI{64}
         rho {\VBAR}   .6896143
\HLI{13}{\BOTT}\HLI{64}
Durbin-Watson statistic (original)    0.363073
Durbin-Watson statistic (transformed) 1.441575
{\smallskip}
. 
. 
. subtitle "Life time exposure to radiation"
\HLI{79}
                                       Date and time:  27 Mar 2012    22:58:43
                                       Working directory:  /Users/robertyaffee/
> Documents/data/research/chwk/phase3/data/panel
                                       Stata data file:  ch3wMaster27mar2012.dt
> a
                                       Stata version:  12.1
                                       Operating system:  MacOSX   10.6.8  on  
> Macintosh (Intel 64-bit)  with  4  processors
                                       using  33554432 bytes of memory
  
Life time exposure to radiation
\HLI{79}
{\smallskip}
.   
. lowess radltw wave if gender==1, xlabel(1 2 3) title(Male reported lifetime) 
> ///
>   subti(Chornobyl related health risk)  ///
>   ytitle(percent)
{\smallskip}
. gr save mlthr.gph, replace
(file mlthr.gph saved)
{\smallskip}
. prais radltw wave if gender==1
{\smallskip}
Number of gaps in sample:  339   (gap count includes panel changes)
(note: computations for rho restarted at each gap)
{\smallskip}
Iteration 0:  rho = 0.0000
Iteration 1:  rho = 0.8440
Iteration 2:  rho = 0.8440
Iteration 3:  rho = 0.8440
{\smallskip}
Prais-Winsten AR(1) regression -- iterated estimates
{\smallskip}
      Source {\VBAR}       SS       df       MS              Number of obs =    1019
\HLI{13}{\PLUS}\HLI{30}           F(  1,  1017) =  309.47
       Model {\VBAR}  105216.634     1  105216.634           Prob > F      =  0.0000
    Residual {\VBAR}  345773.858  1017  339.993961           R-squared     =  0.2333
\HLI{13}{\PLUS}\HLI{30}           Adj R-squared =  0.2325
       Total {\VBAR}  450990.492  1018  443.016201           Root MSE      =  18.439
{\smallskip}
\HLI{13}{\TOPT}\HLI{64}
      radltw {\VBAR}      Coef.   Std. Err.      t    P>|t|     [95\% Conf. Interval]
\HLI{13}{\PLUS}\HLI{64}
        wave {\VBAR}  -1.098569   .7076211    -1.55   0.121    -2.487133    .2899956
       _cons {\VBAR}   54.56074   2.231642    24.45   0.000     50.18159    58.93989
\HLI{13}{\PLUS}\HLI{64}
         rho {\VBAR}   .8440384
\HLI{13}{\BOTT}\HLI{64}
Durbin-Watson statistic (original)    0.186113
Durbin-Watson statistic (transformed) 1.522518
{\smallskip}
. 
. 
. lowess radltw wave if gender==2, xlabel(1 2 3) title(Female reported lifetime
> ) ///
>   subti(Chornobyl-related health risk) ytitle(percent)  ///
>   xtitle(wave)
{\smallskip}
. prais radltw wave if gender==2
{\smallskip}
Number of gaps in sample:  362   (gap count includes panel changes)
(note: computations for rho restarted at each gap)
{\smallskip}
Iteration 0:  rho = 0.0000
Iteration 1:  rho = 0.8185
Iteration 2:  rho = 0.8185
Iteration 3:  rho = 0.8185
{\smallskip}
Prais-Winsten AR(1) regression -- iterated estimates
{\smallskip}
      Source {\VBAR}       SS       df       MS              Number of obs =    1089
\HLI{13}{\PLUS}\HLI{30}           F(  1,  1087) =  331.02
       Model {\VBAR}  123371.676     1  123371.676           Prob > F      =  0.0000
    Residual {\VBAR}  405130.971  1087  372.705585           R-squared     =  0.2334
\HLI{13}{\PLUS}\HLI{30}           Adj R-squared =  0.2327
       Total {\VBAR}  528502.647  1088  485.756109           Root MSE      =  19.306
{\smallskip}
\HLI{13}{\TOPT}\HLI{64}
      radltw {\VBAR}      Coef.   Std. Err.      t    P>|t|     [95\% Conf. Interval]
\HLI{13}{\PLUS}\HLI{64}
        wave {\VBAR}   1.590909   .7164974     2.22   0.027     .1850345    2.996784
       _cons {\VBAR}   60.47501   2.155678    28.05   0.000     56.24525    64.70477
\HLI{13}{\PLUS}\HLI{64}
         rho {\VBAR}   .8185211
\HLI{13}{\BOTT}\HLI{64}
Durbin-Watson statistic (original)    0.185242
Durbin-Watson statistic (transformed) 1.399694
{\smallskip}
. gr save fltchr.gph, replace
(file fltchr.gph saved)
{\smallskip}
. 
. gr combine mlthr.gph fltchr.gph, cols(2)
{\smallskip}
. gr save cltchr.gph, replace
(file cltchr.gph saved)
{\smallskip}
. gr export cltchr.eps, replace
(file cltchr.eps written in EPS format)
{\smallskip}
. 
. subtitle "\% of pollution related to Chornobyl"
\HLI{79}
                                       Date and time:  27 Mar 2012    22:58:59
                                       Working directory:  /Users/robertyaffee/
> Documents/data/research/chwk/phase3/data/panel
                                       Stata data file:  ch3wMaster27mar2012.dt
> a
                                       Stata version:  12.1
                                       Operating system:  MacOSX   10.6.8  on  
> Macintosh (Intel 64-bit)  with  4  processors
                                       using  33554432 bytes of memory
  
\% of pollution related to Chornobyl
\HLI{79}
{\smallskip}
. 
. lowess radchw wave if gender==1, xlabel(1 2 3) title(Male reported ) ///
>   subti(declining pollution related to Chornobyl)  ///
>   ytitle(percent)
{\smallskip}
. gr save mcrp.gph, replace
(file mcrp.gph saved)
{\smallskip}
. prais radchw wave if gender==1
{\smallskip}
Number of gaps in sample:  339   (gap count includes panel changes)
(note: computations for rho restarted at each gap)
{\smallskip}
Iteration 0:  rho = 0.0000
Iteration 1:  rho = 0.7719
Iteration 2:  rho = 0.7719
Iteration 3:  rho = 0.7719
{\smallskip}
Prais-Winsten AR(1) regression -- iterated estimates
{\smallskip}
      Source {\VBAR}       SS       df       MS              Number of obs =    1020
\HLI{13}{\PLUS}\HLI{30}           F(  1,  1018) =  331.60
       Model {\VBAR}   149540.24     1   149540.24           Prob > F      =  0.0000
    Residual {\VBAR}  459088.055  1018  450.970584           R-squared     =  0.2457
\HLI{13}{\PLUS}\HLI{30}           Adj R-squared =  0.2450
       Total {\VBAR}  608628.295  1019  597.279975           Root MSE      =  21.236
{\smallskip}
\HLI{13}{\TOPT}\HLI{64}
      radchw {\VBAR}      Coef.   Std. Err.      t    P>|t|     [95\% Conf. Interval]
\HLI{13}{\PLUS}\HLI{64}
        wave {\VBAR}  -3.566176    .814366    -4.38   0.000    -5.164205   -1.968148
       _cons {\VBAR}   56.57108    2.29398    24.66   0.000     52.06961    61.07255
\HLI{13}{\PLUS}\HLI{64}
         rho {\VBAR}   .7718814
\HLI{13}{\BOTT}\HLI{64}
Durbin-Watson statistic (original)    0.269773
Durbin-Watson statistic (transformed) 1.510390
{\smallskip}
. 
. 
. lowess radchw wave if gender==2, xlabel(1 2 3) title(Female reported) ///
>   subti(stable pollution related to Chornobyl) ytitle(percent)  ///
>   xtitle(wave)
{\smallskip}
. prais radchw wave if gender==2
{\smallskip}
Number of gaps in sample:  362   (gap count includes panel changes)
(note: computations for rho restarted at each gap)
{\smallskip}
Iteration 0:  rho = 0.0000
Iteration 1:  rho = 0.7779
Iteration 2:  rho = 0.7779
Iteration 3:  rho = 0.7779
{\smallskip}
Prais-Winsten AR(1) regression -- iterated estimates
{\smallskip}
      Source {\VBAR}       SS       df       MS              Number of obs =    1089
\HLI{13}{\PLUS}\HLI{30}           F(  1,  1087) =  326.92
       Model {\VBAR}  148550.509     1  148550.509           Prob > F      =  0.0000
    Residual {\VBAR}  493927.245  1087   454.39489           R-squared     =  0.2312
\HLI{13}{\PLUS}\HLI{30}           Adj R-squared =  0.2305
       Total {\VBAR}  642477.754  1088  590.512642           Root MSE      =  21.317
{\smallskip}
\HLI{13}{\TOPT}\HLI{64}
      radchw {\VBAR}      Coef.   Std. Err.      t    P>|t|     [95\% Conf. Interval]
\HLI{13}{\PLUS}\HLI{64}
        wave {\VBAR}   .0413223    .791131     0.05   0.958    -1.510994    1.593639
       _cons {\VBAR}   61.46439   2.245088    27.38   0.000     57.05919    65.86959
\HLI{13}{\PLUS}\HLI{64}
         rho {\VBAR}   .7779387
\HLI{13}{\BOTT}\HLI{64}
Durbin-Watson statistic (original)    0.251975
Durbin-Watson statistic (transformed) 1.469003
{\smallskip}
. gr save fcrp.gph, replace
(file fcrp.gph saved)
{\smallskip}
. 
. gr combine mcrp.gph fcrp.gph, cols(2)
{\smallskip}
. gr save cchrlp.gph, replace
(file cchrlp.gph saved)
{\smallskip}
. gr export cchrlp.eps, replace
(file cchrlp.eps written in EPS format)
{\smallskip}
. 
. 
. 
. lowess radchw wave if gender==1, xlabel(1 2 3) title(Male reported ) ///
>   subti(declining pollution related to Chornobyl)  ///
>   ytitle(percent)
{\smallskip}
. gr save mcrp.gph, replace
(file mcrp.gph saved)
{\smallskip}
. prais radw wave if gender==1
{\smallskip}
Number of gaps in sample:  332   (gap count includes panel changes)
(note: computations for rho restarted at each gap)
{\smallskip}
Iteration 0:  rho = 0.0000
Iteration 1:  rho = 0.6981
Iteration 2:  rho = 0.6982
Iteration 3:  rho = 0.6982
{\smallskip}
Prais-Winsten AR(1) regression -- iterated estimates
{\smallskip}
      Source {\VBAR}       SS       df       MS              Number of obs =     998
\HLI{13}{\PLUS}\HLI{30}           F(  1,   996) =  330.23
       Model {\VBAR}  175064.816     1  175064.816           Prob > F      =  0.0000
    Residual {\VBAR}  528004.161   996  530.124659           R-squared     =  0.2490
\HLI{13}{\PLUS}\HLI{30}           Adj R-squared =  0.2482
       Total {\VBAR}  703068.976   997   705.18453           Root MSE      =  23.024
{\smallskip}
\HLI{13}{\TOPT}\HLI{64}
        radw {\VBAR}      Coef.   Std. Err.      t    P>|t|     [95\% Conf. Interval]
\HLI{13}{\PLUS}\HLI{64}
        wave {\VBAR}   -6.40094   .8928496    -7.17   0.000    -8.153022   -4.648858
       _cons {\VBAR}   55.75641   2.342174    23.81   0.000     51.16025    60.35257
\HLI{13}{\PLUS}\HLI{64}
         rho {\VBAR}   .6982407
\HLI{13}{\BOTT}\HLI{64}
Durbin-Watson statistic (original)    0.314327
Durbin-Watson statistic (transformed) 1.454914
{\smallskip}
. 
. 
. lowess radchw wave if gender==2, xlabel(1 2 3) title(Female reported) ///
>   subti(stable pollution related to Chornobyl) ytitle(percent)  ///
>   xtitle(wave)
{\smallskip}
. prais radw wave if gender==2
{\smallskip}
Number of gaps in sample:  362   (gap count includes panel changes)
(note: computations for rho restarted at each gap)
{\smallskip}
Iteration 0:  rho = 0.0000
Iteration 1:  rho = 0.6809
Iteration 2:  rho = 0.6809
Iteration 3:  rho = 0.6809
{\smallskip}
Prais-Winsten AR(1) regression -- iterated estimates
{\smallskip}
      Source {\VBAR}       SS       df       MS              Number of obs =    1089
\HLI{13}{\PLUS}\HLI{30}           F(  1,  1087) =  162.02
       Model {\VBAR}  89659.3966     1  89659.3966           Prob > F      =  0.0000
    Residual {\VBAR}  601545.857  1087  553.400053           R-squared     =  0.1297
\HLI{13}{\PLUS}\HLI{30}           Adj R-squared =  0.1289
       Total {\VBAR}  691205.254  1088  635.298946           Root MSE      =  23.524
{\smallskip}
\HLI{13}{\TOPT}\HLI{64}
        radw {\VBAR}      Coef.   Std. Err.      t    P>|t|     [95\% Conf. Interval]
\HLI{13}{\PLUS}\HLI{64}
        wave {\VBAR}  -2.640496   .8730745    -3.02   0.003    -4.353598   -.9273939
       _cons {\VBAR}   41.49492    2.26032    18.36   0.000     37.05983       45.93
\HLI{13}{\PLUS}\HLI{64}
         rho {\VBAR}    .680889
\HLI{13}{\BOTT}\HLI{64}
Durbin-Watson statistic (original)    0.336603
Durbin-Watson statistic (transformed) 1.437620
{\smallskip}
. gr save fcrp.gph, replace
(file fcrp.gph saved)
{\smallskip}
. 
. gr combine mcrp.gph fcrp.gph, cols(2)
{\smallskip}
. gr save cchrlp.gph, replace
(file cchrlp.gph saved)
{\smallskip}
. gr export cchrlp.eps, replace
(file cchrlp.eps written in EPS format)
{\smallskip}
. 
. 
