1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 
   0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0 
1982 1983 1984 1985 1986 1987 1988 1989 
   0    0    0    0    0    0    0    1 
      1960       1961       1962       1963       1964       1965       1966       1967       1968       1969 
0.04528452 0.00000000 0.00000000 0.02889036 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 
      1970       1971       1972       1973       1974       1975       1976       1977       1978       1979 
0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.01171989 0.01098925 
      1980       1981       1982       1983       1984       1985       1986       1987       1988       1989 
0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.90311598 
S-DiD results         att.log.GDP_pc att.GDP_pc
Estimate          0.249    101.582
se                0.282   1519.637

X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 19418.84 

solution.v:
 1 

solution.w:
 0.01989113 0.03914084 0.02935709 0.03429215 0.03358098 0.01142862 0.03046008 0.007218427 0.03322441 0.03723252 0.02607304 0.03816533 0.01465038 0.03036024 0.4579087 0.03265775 0.03349448 0.03324383 0.02988855 0.02773149 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 0.01213195 

solution.v:
 1 

solution.w:
 0.03454307 0.0676537 0.04833107 0.0594878 0.05720203 0.02283187 0.05012005 0.01580507 0.05618156 0.06682985 0.04294628 0.06728489 0.02747972 0.04969176 0.071231 0.05454509 0.0574046 0.05622331 0.04888156 0.045333 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 19418.84 

solution.v:
 1 

solution.w:
 0.01989113 0.03914084 0.02935709 0.03429215 0.03358098 0.01142862 0.03046008 0.007218427 0.03322441 0.03723252 0.02607304 0.03816533 0.01465038 0.03036024 0.4579087 0.03265775 0.03349448 0.03324383 0.02988855 0.02773149 

ATT_omega_T_SCM = -43.968  ; pre-MSPE = 19418.84 

X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 348490.8 

solution.v:
 1 

solution.w:
 0.04624457 0.04749318 0.04656144 0.04669916 0.0576921 0.04727536 0.1377472 0.04676531 0.04627083 0.04823856 0.04625545 0.05374092 0.04729458 0.04614786 0.04686871 0.04671533 0.04676174 0.04738665 0.04784105 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 13931.07 

solution.v:
 1 

solution.w:
 0.005765772 0.01014065 0.01510915 0.01378177 0.002984278 0.0108515 0.001766249 0.01329769 0.0278881 0.008369744 0.03142978 0.003973318 0.01078356 0.7845367 0.01265608 0.01365677 0.01332213 0.01047288 0.00921389 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 83769.07 

solution.v:
 1 

solution.w:
 0.03415024 0.06048061 0.04997876 0.04871289 0.02291934 0.04509281 0.01608309 0.04820139 0.05764985 0.04075501 0.05913318 0.02756403 0.04499201 0.2130837 0.04747556 0.04858362 0.04822793 0.04451969 0.04239628 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 3492.765 

solution.v:
 1 

solution.w:
 0.01107312 0.0421525 0.01803152 0.02295412 0.006022096 0.0190555 0.003687929 0.02234785 0.0365377 0.01535443 0.0393909 0.007870056 0.01895889 0.6346981 0.0215206 0.02279905 0.02237883 0.01851371 0.01665311 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 24559.42 

solution.v:
 1 

solution.w:
 0.01406538 0.04539881 0.02213329 0.02911059 0.007843352 0.02327164 0.004883149 0.02683646 0.04041914 0.01909797 0.04296411 0.01015299 0.02316479 0.5672694 0.02595583 0.02731195 0.02686922 0.02267094 0.020581 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 3171487 

solution.v:
 1 

solution.w:
 0.03585005 0.02244386 0.0259844 0.02329953 0.02368043 0.02533386 0.5230686 0.02386532 0.02251369 0.02831871 0.02247279 0.05113458 0.02539069 0.02218843 0.02415687 0.0237255 0.0238553 0.02566448 0.02705287 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 12786.71 

solution.v:
 1 

solution.w:
 0.02961244 0.05604106 0.04000083 0.04617131 0.04495622 0.01880762 0.01272033 0.04444643 0.05320204 0.03651 0.05467042 0.02313936 0.04107817 0.2867911 0.0437065 0.04482837 0.04447314 0.04056933 0.03827532 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 40146070 

solution.v:
 1 

solution.w:
 0.0001635778 5.4492e-05 7.5602e-05 5.90755e-05 6.12211e-05 0.9984068 7.12968e-05 6.22861e-05 5.48539e-05 9.26263e-05 5.46417e-05 0.0003744887 7.16652e-05 5.31863e-05 6.3997e-05 6.14793e-05 6.2228e-05 7.34607e-05 8.30901e-05 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 50407.95 

solution.v:
 1 

solution.w:
 0.0199563 0.04389125 0.03007502 0.03610448 0.03508657 0.01136573 0.03131945 0.007152096 0.04122187 0.02647543 0.04255772 0.01460454 0.03120577 0.4665143 0.03390597 0.0349712 0.03464352 0.03067164 0.02827717 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 11375.66 

solution.v:
 1 

solution.w:
 0.006116533 0.0354007 0.01068326 0.01576136 0.01441767 0.003178135 0.01141774 0.00188607 0.01392536 0.008843799 0.03192646 0.004225351 0.01134764 0.7686091 0.01327082 0.01429067 0.01395025 0.01102683 0.009722269 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 101310.1 

solution.v:
 1 

solution.w:
 0.04782752 0.05943699 0.05251879 0.05533336 0.05468456 0.04007507 0.05300042 0.03317169 0.05443129 0.05864391 0.05908071 0.04372209 0.05295606 0.06740207 0.05408201 0.05462 0.05444428 0.05274887 0.05182031 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 13858.34 

solution.v:
 1 

solution.w:
 0.005915679 0.03516613 0.01037339 0.0153888 0.01405451 0.003066872 0.01109444 0.001817176 0.01356695 0.02813314 0.008572846 0.004080828 0.01102557 0.7771612 0.01291984 0.01392867 0.01359158 0.01071052 0.009431835 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 2579844 

solution.v:
 1 

solution.w:
 0.04464098 0.03390392 0.03695844 0.03466132 0.03499428 0.06900205 0.03641206 0.3172483 0.03515501 0.03396624 0.03887175 0.03392975 0.03646004 0.03367518 0.03540731 0.03503352 0.03514631 0.03669051 0.03784302 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 13029.43 

solution.v:
 1 

solution.w:
 0.03000899 0.05648367 0.04036774 0.04653175 0.04530984 0.01914856 0.04154765 0.01299099 0.04479904 0.05363817 0.03689358 0.05511169 0.02351403 0.2800035 0.04405918 0.04518164 0.04482577 0.04093339 0.03865089 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 35216.97 

solution.v:
 1 

solution.w:
 0.003587845 0.5776449 0.006336842 0.008985437 0.008337081 0.001826619 0.006759708 0.001066737 0.008095637 0.07148412 0.005242269 0.2550094 0.002449563 0.006719844 0.00776505 0.008275277 0.008107974 0.006536014 0.005769683 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 27725.25 

solution.v:
 1 

solution.w:
 0.02173606 0.04616777 0.03204587 0.03812295 0.03707344 0.01262675 0.03329061 0.008051246 0.03659801 0.04350507 0.02842386 0.04484558 0.01609974 0.03317698 0.4317721 0.03695594 0.03662335 0.03264292 0.03024181 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 71385.54 

solution.v:
 1 

solution.w:
 0.0144375 0.04577435 0.02262693 0.0296461 0.02800719 0.008075722 0.02377674 0.005037932 0.02736665 0.04086549 0.01955406 0.04337577 0.01044147 0.02366887 0.5592373 0.02648152 0.02739955 0.02317018 0.02105668 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 18239.86 

solution.v:
 1 

solution.w:
 0.01989675 0.04381638 0.03000795 0.03603584 0.03501886 0.01132431 0.03125229 0.007122863 0.034551 0.04114605 0.02640945 0.04248213 0.01455507 0.03113862 0.4676853 0.03383866 0.03490355 0.03060452 0.02821047 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 73001.32 

solution.v:
 1 

solution.w:
 0.03192308 0.05848634 0.04209109 0.04819993 0.04695068 0.02084147 0.04323845 0.01435645 0.04643706 0.05562621 0.03871167 0.05711569 0.02535362 0.04313342 0.2481265 0.04570037 0.04682134 0.04646383 0.04042283 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 30768.69 

solution.v:
 1 

solution.w:
 0.04118436 0.06337241 0.04917135 0.05417225 0.05302637 0.03048677 0.05003606 0.0229066 0.05258077 0.06114493 0.04662928 0.06233502 0.03516506 0.04995644 0.1207668 0.05196462 0.05291281 0.05260365 0.04958447 

Placebos kept for inference: 15 of 20 
Randomization p-value (two-sided): 0.8 

X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 0.01213195 

solution.v:
 1 

solution.w:
 0.03454307 0.0676537 0.04833107 0.0594878 0.05720203 0.02283187 0.05012005 0.01580507 0.05618156 0.06682985 0.04294628 0.06728489 0.02747972 0.04969176 0.071231 0.05454509 0.0574046 0.05622331 0.04888156 0.045333 

ATT_omega_T_SCM = 0.09  ; pre-MSPE = 0.012 

X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 0.04887949 

solution.v:
 1 

solution.w:
 0.02793463 0.03512863 0.03081831 0.03166478 0.04798388 0.03440606 0.3926594 0.03204853 0.02821605 0.0373835 0.02806036 0.04480954 0.03457789 0.0267361 0.03267167 0.03158904 0.03203276 0.03490493 0.03636874 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 0.08507849 

solution.v:
 1 

solution.w:
 0.0113817 0.02217781 0.03343549 0.03089843 0.004217809 0.02381102 0.0005542321 0.02981029 0.04455004 0.01760345 0.04596047 0.006880908 0.02341463 0.5739626 0.02811538 0.03111747 0.02985432 0.02267409 0.01956977 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 0.0560271 

solution.v:
 1 

solution.w:
 0.04205707 0.05418748 0.05186317 0.05114425 0.03541074 0.04870802 0.1225195 0.05081302 0.05396937 0.04588679 0.05409027 0.03828587 0.04855001 0.0550946 0.05026825 0.05120924 0.0508267 0.04824759 0.04686773 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 0.002102622 

solution.v:
 1 

solution.w:
 0.0227053 0.05998418 0.03791439 0.04833943 0.0108996 0.0399862 0.004279843 0.04712688 0.05919386 0.03180797 0.05963127 0.01546518 0.03948841 0.3091961 0.0451854 0.04858013 0.04717647 0.03854978 0.03448937 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 0.03652537 

solution.v:
 1 

solution.w:
 0.02842706 0.06616601 0.04272455 0.05499244 0.01685528 0.04463993 0.01014004 0.05126105 0.06454723 0.03704744 0.06539523 0.02138898 0.04417996 0.2159882 0.04945055 0.0526282 0.0513075 0.04331228 0.03954808 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 0.07034908 

solution.v:
 1 

solution.w:
 0.02357322 0.008982909 0.01547679 0.01130521 0.01205168 0.01470777 0.7415601 0.01240081 0.009195709 0.0181009 0.009077635 0.03110955 0.0148878 0.00810717 0.0129827 0.01198358 0.01238633 0.01523532 0.01687473 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 0.01855944 

solution.v:
 1 

solution.w:
 0.04183553 0.05863504 0.04960647 0.05506756 0.05400588 0.03451977 0.08320232 0.05352261 0.05829052 0.04670958 0.05848122 0.03743259 0.05031094 0.06009278 0.05273547 0.05410112 0.0535425 0.04989279 0.04801524 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 0.4731605 

solution.v:
 1 

solution.w:
 0.006371619 0.00150348 0.003303176 0.002102358 0.002305256 0.9382646 0.003069066 0.00240189 0.001556292 0.004154168 0.001526936 0.01480251 0.003123318 0.001290656 0.002565426 0.002286535 0.002397859 0.003228993 0.003745617 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 0.03905042 

solution.v:
 1 

solution.w:
 0.03108492 0.06925318 0.04493656 0.05689325 0.05432478 0.01969658 0.04678496 0.01299382 0.06726032 0.03945559 0.06829759 0.0241819 0.04634095 0.1718776 0.05144193 0.05454846 0.05325262 0.04550363 0.0418714 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 0.07127887 

solution.v:
 1 

solution.w:
 0.01207436 0.04873488 0.02333942 0.03491737 0.0323224 0.004500435 0.02502906 0.0006014384 0.03120671 0.01858756 0.04738613 0.007324852 0.02461929 0.5515953 0.02946591 0.03254681 0.03125188 0.02385322 0.02063381 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 0.03163052 

solution.v:
 1 

solution.w:
 0.0422481 0.04223735 0.04301817 0.04275823 0.04285888 0.03946822 0.04301895 0.236269 0.04289661 0.0423002 0.04226575 0.04101025 0.04302041 0.04194085 0.04294731 0.04285085 0.04289515 0.04302036 0.04297391 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 0.07928754 

solution.v:
 1 

solution.w:
 0.0116969 0.04802524 0.02271202 0.03412628 0.03155993 0.004345397 0.02437216 0.0005750267 0.0304581 0.0452536 0.01805395 0.007082019 0.02396937 0.5634606 0.0287406 0.03178166 0.03050269 0.02321664 0.0200578 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 0.08338422 

solution.v:
 1 

solution.w:
 0.0301756 0.01434756 0.02180867 0.01711279 0.01797683 0.04671944 0.02096596 0.6242355 0.01837716 0.01460617 0.02461599 0.01446282 0.0211641 0.01327117 0.01903918 0.01789846 0.0183606 0.02154509 0.02331685 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 0.00272843 

solution.v:
 1 

solution.w:
 0.04189602 0.05755043 0.04923837 0.05429508 0.05331872 0.03471629 0.05009981 0.09263903 0.0528732 0.05723783 0.04652207 0.05741091 0.03763452 0.05886871 0.05214609 0.05340645 0.05289155 0.04950558 0.04774923 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 0.1306868 

solution.v:
 1 

solution.w:
 0.001732323 0.697202 0.003527127 0.00567556 0.005139308 0.0006252692 0.003814474 7.77915e-05 0.004924001 0.04041145 0.002746025 0.2079421 0.001030157 0.003744277 0.004599509 0.005183484 0.004932592 0.003613927 0.003077782 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 0.01675436 

solution.v:
 1 

solution.w:
 0.03792512 0.06984983 0.05140576 0.06212012 0.05993941 0.02628113 0.05313568 0.01921761 0.05896343 0.06907429 0.0461718 0.06950276 0.03092237 0.05272194 0.0732062 0.06013297 0.05900338 0.05193855 0.04849663 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 0.107033 

solution.v:
 1 

solution.w:
 0.02790812 0.06554431 0.04229054 0.05462173 0.05202485 0.01630554 0.04421915 0.009591623 0.05088042 0.06400836 0.03657532 0.06481485 0.02084645 0.04375601 0.2246503 0.04906062 0.05092708 0.04288234 0.03909233 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 0.01550576 

solution.v:
 1 

solution.w:
 0.03097458 0.0691335 0.04484519 0.05681502 0.05424546 0.01957782 0.04669638 0.01287396 0.05312692 0.06715319 0.03935596 0.06818403 0.0240655 0.04625171 0.1736832 0.05135977 0.0544693 0.04541312 0.04177536 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 0.03588111 

solution.v:
 1 

solution.w:
 0.04199706 0.05553252 0.04852943 0.05284249 0.05202191 0.03511321 0.04927497 0.1104621 0.05164547 0.05527743 0.0461506 0.05541876 0.03801923 0.04909845 0.05660026 0.05102846 0.05209589 0.05166099 0.04723056 


X1, X0, Z1, Z0 all come directly from dataprep object.


**************** 
 optimization over w weights: computing synthtic control unit 
 


**************** 
**************** 
**************** 

MSPE (LOSS V): 0.01069126 

solution.v:
 1 

solution.w:
 0.04225646 0.04725663 0.04528126 0.04667298 0.04644866 0.03744902 0.04555789 0.1869419 0.04633906 0.04721201 0.04430467 0.04723703 0.03979839 0.04549369 0.04741673 0.04615063 0.04646971 0.04634367 0.04536877 

Placebos kept for inference: 20 of 20 
Randomization p-value (two-sided): 0.7 
SC results         att.log.GDP_pc att.GDP_pc
Estimate           0.09    -43.968
p_value            0.70      0.800

Call:
single_augsynth(form = form, unit = !!enquo(unit), time = !!enquo(time), 
    t_int = t_int, data = data, progfunc = "None", scm = TRUE)

Average ATT Estimate (p Value for Joint Null):  224   ( 0.99 )
L2 Imbalance: 110.290
Percent improvement from uniform weights: 98.6%

Avg Estimated Bias: NA

Inference type: Conformal inference

 Time Estimate 95% CI Lower Bound 95% CI Upper Bound p Value
 1993  119.315           -225.393            259.061   0.056
 1994  126.181           -106.729            303.193   0.066
 1995  161.546            -71.365            264.026   0.062
 1996  164.915            -12.097            286.028   0.055
 1997  185.149           -196.824            324.896   0.054
 1998  185.362           -196.611            325.108   0.060
 1999  205.409           -176.565            345.155   0.070
 2000  230.047           -226.458            351.160   0.087
 2001  244.247           -174.992            402.626   0.060
 2002  254.568           -146.039            375.681   0.059
 2003  274.384            -70.324            339.599   0.067
 2004  277.098            -86.243            342.313   0.104
 2005  263.277           -193.228            328.491   0.189
 2006  260.629           -195.876            325.844   0.198
 2007  280.025           -176.479            345.240   0.264
 2008  301.676           -154.829            385.524   0.366
 2009  279.229           -177.275            363.077   0.359
 2010  240.106           -216.399            342.587   0.361
 2011  211.591           -244.914            332.705   0.399
 2012  192.858           -263.646            351.238   0.400
 2013  211.878           -244.626            407.523   0.445
 2014  236.295           -220.210            431.940   0.422
 2015  219.030           -237.475            396.042   0.597
 2016  211.101           -245.404            388.113   0.698
 2017  226.740           -229.764            403.752   0.669
 2018  248.827           -207.678            444.472   0.694
ASC results         att.log.GDP_pc att.GDP_pc
Estimate          0.405    254.327
p_value           0.417      0.316
 3.1 & 9.8 &-4.2 &24.4 \\ 
                       Row TDiD_log SDiD_log SC_log ASC_log TDiD_level SDiD_level SC_level ASC_level
               ATT_omega_T    0.042    0.249  0.090   0.405     32.493    101.582  -43.968   254.327
                        SE  (0.011)  (0.282)                  (10.223) (1519.637)                   
                     p-val    0.000           0.700   0.417      0.001               0.800     0.316
                  2015 BMK                                      3.100%     9.800%  -4.200%   24.400%
 Identification test p-val    0.882                              0.938                              
                         S-DiD Log GDP per capita SC Log GDP per capita ASC Log GDP per capita
Algeria                                     0.056                 0.035                  0.039
Burundi                                     0.068                 0.068                  0.222
Cameroon                                    0.115                 0.048                  0.180
Central African Republic                    0.060                 0.059                  0.032
Chad                                        0.057                 0.057                 -0.009
Gabon                                       0.000                 0.023                 -0.033
Kenya                                       0.044                 0.050                 -0.021
Libya                                       0.000                 0.016                 -0.016
Madagascar                                  0.054                 0.056                  0.006
Malawi                                      0.020                 0.067                 -0.022
Nigeria                                     0.000                 0.043                 -0.010
Rwanda                                      0.075                 0.067                  0.051
Seychelles                                  0.034                 0.027                 -0.039
Sierra Leone                                0.079                 0.050                  0.270
Somalia                                     0.020                 0.071                 -0.041
Sudan                                       0.012                 0.055                 -0.101
Tanzania                                    0.108                 0.057                  0.179
Togo                                        0.060                 0.056                  0.048
Zambia                                      0.067                 0.049                  0.082
Zimbabwe                                    0.071                 0.045                  0.183
# Controls                                 17.000                20.000                 11.000
                         S-DiD GDP per capita SC GDP per capita ASC GDP per capita
Algeria                                 0.038             0.020              0.014
Burundi                                 0.060             0.039              0.304
Cameroon                                0.057             0.029              0.127
Central African Republic                0.061             0.034             -0.001
Chad                                    0.064             0.034             -0.005
Gabon                                   0.000             0.011             -0.005
Kenya                                   0.054             0.030              0.000
Libya                                   0.000             0.007              0.001
Madagascar                              0.063             0.033              0.030
Malawi                                  0.059             0.037             -0.002
Nigeria                                 0.048             0.026             -0.001
Rwanda                                  0.060             0.038              0.129
Seychelles                              0.013             0.015             -0.005
Sierra Leone                            0.058             0.030              0.065
Somalia                                 0.061             0.458             -0.003
Sudan                                   0.060             0.033             -0.010
Tanzania                                0.068             0.033              0.148
Togo                                    0.058             0.033              0.026
Zambia                                  0.063             0.030              0.083
Zimbabwe                                0.055             0.028              0.106
# Controls                             18.000            20.000             11.000
