Given the number and complexity of the exhibits we provide the following index containing the specific filename as produced by the code for each figure/table. 

Additionally, in the ADMIN_DATA_CODES folder we included a .tex file named "Compiler_admin_data_exhibits" which can be executed in the server to create a PDF containing all exhibits 
from the admin data in the same order and numbering as in the paper. Please copy the compiler file into the output folder "D:\Uruguay\output\replication_AEJ and execute it once the code is done running. 


Figures and Tables Index:

Main Paper: 
Figure 1. 
AI.  trend_log_countn_t_n02016
AII. trend_log_tot_sales_t_n02016
AIII.trend_log_count_pos_n02016
AIV. trend_log_count_firms_n02016
BI.  trend_d_countn_t_d1_n02016.
BII. trend_d_tot_sales_t_d1_n02016
BIII.trend_d_count_pos_d1_n02016.
BIV. trend_d_count_firms_d1_n02016

Figure 2. 
AI.  RDrobust_log_count_trans_80_deseason_bc2_2015_main
AII. RDrobust_log_tot_sales_80_deseason_bc2_2015_main
AIII.RDrobust_log_count_pos_total_80_deseason_bc2_2015_main
AIV. RDrobust_log_count_firms_total_80_deseason_bc2_2015_main
BI.  hist_1dtdif_countn_all_random_main
BII. hist_1dtdif_tot_sales_all_random_main
BIII.hist_1dtdif_count_pos_all_random_main
BIV. hist_1dtdif_count_firms_all_random_main

Figure 3. (panel CI requires manual edit described in the readme)
AI.  did_2lines_s_ta_ab_10_11_log_modif_99_r7_as1_esp10_wholesale
AII. did_es_s_ta_ab_10_11_log_modif_99_r7_as1_esp10_wholesale
BI.  did_2lines_nout_ab_10_11_log_modif_99_r7_as1_esp10_wholesale
BII. did_es_nout_ab_10_11_log_modif_99_r7_as1_esp10_wholesale
CI.  did_2lines_nliab_ab_10_11_log_modif_99_r7_as1_esp10_wholesale_edit
CII. event_sdid_wholesale_log_modif_nliab_10_ab_r100_99_r7_10

Figure 4. 
A. subsidy_firms_share
B. event_raw_b_c_2
C. scardsales_density_ms_3_line

Table 1. 
did_robust_table_logmodif_mixed

Appendix A. 

Table A1. Non-data generated

Table A2. Non-data generated

Table A3
sumstat_uruguay_f3_ub_r8

Figure A1 (public data code)
AI.  account_2011_replication_4
AII. findex_3_4
B.   log_informal_2011

Figure A2 Non-data generated

Figure A3. 
A. ui_density_full_2014 (left) and ui_density_2014 (right)
B. ui_density_full_2015 (left) and ui_density_2015 (right)

Figure A4. Non-data generated

Figure A5. Non-data generated

Figure A6. Non-data generated

Figure A7. 
A. did_vat_rebate_2014
B. did_count1_th_2014
C. did_tot_venta1_2014
D. did_rebate_sale_2_2014

Figure A8. Non-data generated

Figure A9. (public data code) 
A. findex_1_4_q
B. findex_3_4_q

Figure A10 
vat_filers_month

Appendix B. 

Figure B1. 
AI. trend_log_countn_n02016
AII.trend_log_tot_sales_n02016.
BI. trend_log_countn_t_n02016
BII. trend_log_tot_sales_t_n02016

Figure B2.
A. RDrobust_firm_log_count_trans_80_1_all
B. RDrobust_firm_log_tot_sales_80_1_all

Figure B3. (his produce all outcomes)
AI.  RDrobust_log_count_pos_total_80_deseason_bc1_2015_low
AII. RDrobust_log_count_firms_total_80_deseason_bc1_2015_low
BI.  hist_1dtdif_count_pos_all_random_main_low
BII. hist_1dtdif_count_firms_all_random_main_low

Figure B4. 
AI.   robust_log_count_trans_1_d_w_0815
AII.  robust_log_count_trans_2_d_w_0815
AIII. robust_log_count_trans_3_d_w_0815
BI.   robust_log_tot_sales_1_d_w_0815
BII.  robust_log_tot_sales_2_d_w_0815
BIII. robust_log_tot_sales_3_d_w_0815
CI.   robust_log_count_pos_total_1_d_w_0815
CII.  robust_log_count_pos_total_1_d_w_0815
CIII. robust_log_count_pos_total_1_d_w_0815

Figure B5. 
AI.   robust_log_count_trans_1_d_w
AII.  robust_log_count_trans_2_d_w
AIII. robust_log_count_trans_3_d_w
BI.   robust_log_tot_sales_1_d_w
BII.  robust_log_tot_sales_2_d_w
BIII. robust_log_tot_sales_3_d_w
CI.   robust_log_count_pos_total_1_d_w
CII.  robust_log_count_pos_total_1_d_w
CIII. robust_log_count_pos_total_1_d_w 

Figure B6. 
AI.  RDrobust_log_count_trans_80_deseason_bc2_2015_jan13
AII. RDrobust_log_tot_sales_80_deseason_bc2_2015_jan13
AIII.RDrobust_log_count_pos_total_80_deseason_bc2_2015_jan13
AIV. RDrobust_log_count_firms_total_80_deseason_bc2_2015_jan13
BI.  hist_1dtdif_countn_all_random_jan13
BII. hist_1dtdif_tot_sales_all_random_jan13
BIII.hist_1dtdif_count_pos_all_random_jan13
BIV. hist_1dtdif_count_firms_all_random_jan13

Figure B7.  
AI.  placebo_rdd_lntrans_1
AII. placebo_rdd_lnsales_1
AIII.placebo_rdd_lnpos_1
AIV. placebo_rdd_lnfirms_1
BI.  placebo_rdd_lntrans_2
BII. placebo_rdd_lnsales_2
BIII.placebo_rdd_lnpos_2
BIV.placebo_rdd_lnfirms_2

Figure B8. (Public Data Code) Missing
A. argentina_logtrans
B. argentina_trans_d

Figure B9. 
A. hist_1dtdif_log_count_transd_70
B. hist_1dtdif_log_tot_salesd_70
C. hist_1dtdif_log_count_pos_totald_70
D. hist_1dtdif_log_count_firms_totald_70

Figure B10. 
AI.  trend_log_rtaxsale_n02016
AII. trend_log_rnetliab_n02016
BI.  trend_d_rtaxsale_d1_n02016
BII. trend_d_rnetliab_d1_n02016
CI.  RDrobust_m_log_rtaxsale_16_deseason_bc2
CII. RDrobust_m_log_rnetliab_16_deseason_bc2

Table B1. 
rd_running_aggregation

Table B2.
RD_cutweeks_d_short

Table B3.
RD_steps_comparisson

Table B4.
rdd_autoregression_lag1 

Table B5. 
rdd_autoregression_lag2

Table B6. 
rdd_autoregression_prais

Figure B11.
A. hist_rebate_fraction_month9_122
B. bar_rebates_9
C. hist_rebate_fraction_9

Figure B12.
A1. RDrobust_log_tot_venta_c_70_deseason_bc1_mean_n
A2. RDrobust_log_tot_venta_t_70_deseason_bc1_mean_n
A3. RDrobust_log_tot_venta_c_70_deseason_bc1_median_n
A4. RDrobust_log_tot_venta_t_70_deseason_bc1_median_n
B1. RDrobust_log_count_c_70_deseason_bc1_mean_n
B2. RDrobust_log_count_t_70_deseason_bc1_mean_n
B3. RDrobust_log_count_c_70_deseason_bc1_median_n
B4. RDrobust_log_count_t_70_deseason_bc1_median_n

Figure B13.
AI.  did_2lines_rebate_share_2_log_modif_s_ta_p25_0_ab_09_10
AII. did_2lines_rebate_share_2_log_modif_s_ta_p50_0_ab_09_10
AIII.did_2lines_rebate_share_2_log_modif_s_ta_p75_0_ab_09_10
BI.  did_period_rebate_share_2_log_modif_s_ta_p25_0_ab_09_10
BII. did_period_rebate_share_2_log_modif_s_ta_p50_0_ab_09_10
BIII. did_period_rebate_share_2_log_modif_s_ta_p75_0_ab_09_10
CI.  event_sdid_log_modif_s_ta_09_ab_10_r100_p25_0
CII. event_sdid_log_modif_s_ta_09_ab_10_r100_p50_0
CIII. event_sdid_log_modif_s_ta_09_ab_10_r100_p75_0

Figure B14.
AI.  did_2lines_rebate_share_2_log_modif_nout_p25_0_ab_09_10
AII. did_2lines_rebate_share_2_log_modif_nout_p50_0_ab_09_10
AIII.did_2lines_rebate_share_2_log_modif_nout_p75_0_ab_09_10
BI.  did_period_rebate_share_2_log_modif_nout_p25_0_ab_09_10
BII. did_period_rebate_share_2_log_modif_nout_p50_0_ab_09_10
BIII. did_period_rebate_share_2_log_modif_nout_p75_0_ab_09_10
CI.   event_sdid_log_modif_nout_09_ab_10_r100_p25_0
CII.  event_sdid_log_modif_nout_09_ab_10_r100_p50_0
CIII. event_sdid_log_modif_nout_09_ab_10_r100_p75_0

Appendix C. 

Table C1. 
did_robust_table_epsilon

Table C2. 
did_robust_table_nz_mixed

Table C3. 
did_robust_table_logx_mixed

Figure C1. 
AI.  did_es_s_ta_ab_10_11_log_modif_95_r7_as1_esp10_wholesale
AII. did_es_s_ta_ub_10_11_log_modif_95_r7_as1_esp10_wholesale
AIII.did_es_s_ta_ub_16_11_log_modif_99_r7_as1_esp10_wholesale
BI.  did_es_nout_ab_10_11_log_modif_95_r7_as1_esp10_wholesale
BII. did_es_nout_ub_10_11_log_modif_95_r7_as1_esp10_wholesale
BIII. did_es_nout_ub_16_11_log_modif_99_r7_as1_esp10_wholesale
CI.   event_sdid_wholesale_log_modif_nliab_10_ab_r100_95_r7_10
CII.  (empty)
CIII. 

Table C4.
a. did_robust_table_fixedeffects_ab
b. did_robust_table_fixedeffects_qb
c.  did_robust_table_fixedeffects_ub

Table C5. 
a. did_robust_table_month_did_ab
b. did_robust_table_month_did_qb
c. did_robust_table_month_did_ub

Table C6. 
did_robust_table_lengthvary

Figure C2. (panel CI requires manual edit described in the readme)
AI. did_2lines_s_ta_ab_10_11_log_modif_99_r99_as1_esp10_wholesale
AII. did_es_s_ta_ab_10_11_log_modif_99_r99_as1_esp10_wholesale
BI. did_2lines_nout_ab_10_11_log_modif_99_r99_as1_esp10_wholesale
BII. did_es_nout_ab_10_11_log_modif_99_r99_as1_esp10_wholesale
CI. did_2lines_nliab_ab_10_11_log_modif_99_r99_as1_esp10_wholesale_edit
CII. event_sdid_wholesale_log_modif_nliab_10_ab_r100_99_r99_10

Table C7. 
did_robust_table_logmodif_mixed_r99

Figure C3. 
AI. did_2lines_s_ta_qb_10_11_log_modif_99_r7_as1_esp10_serv_101
AII. did_es_s_ta_qb_10_11_log_modif_99_r7_as1_esp10_serv_101
BI. did_2lines_nout_qb_10_11_log_modif_99_r7_as1_esp10_serv_101
BII. did_es_nout_qb_10_11_log_modif_99_r7_as1_esp10_serv_101
CI. did_2lines_nliab_qb_10_11_log_modif_99_r7_as1_esp10_serv_101
CII. did_es_nliab_qb_10_11_log_modif_99_r7_as1_esp10_serv_101

Figure C4. 
AI. bar_size_rd_sector_sales
AII. bar_size_rd_sector_number
AIII. subsector_firmcount
BI. bar_size_rd_region_sales
BII. bar_size_rd_region_number
BIII. n_firms_departamento

Figure C5. 
IA. did_es_nout_ab_10_11_log_modif_99_as1_esp10_region_rd_treat2
IB. did_es_nout_ab_10_11_log_modif_99_as1_esp10_region_rd_treat1
IC. did_es_nout_ab_10_11_log_modif_99_as1_esp10_region_rd_treat4
ID. did_es_nout_ab_10_11_log_modif_99_as1_esp10_region_rd_treat3
IE. did_es_nout_ab_10_11_log_modif_99_as1_esp10_region_rd_treat5
IIA. did_es_nout_ab_10_11_log_modif_99_as1_esp10_sector_rd_treat2
IIB. did_es_nout_ab_10_11_log_modif_99_as1_esp10_sector_rd_treat3
IIC. did_es_nout_ab_10_11_log_modif_99_as1_esp10_sector_rd_treat4
IID. did_es_nout_ab_10_11_log_modif_99_as1_esp10_sector_rd_treat5
IIE. did_es_nout_ab_10_11_log_modif_99_as1_esp10_sector_rd_treat1

Figure C6. 
IA. event_sdid_log_modif_nout_10_ab_r100_99__10_1_3_treat2
IB. event_sdid_log_modif_nout_10_ab_r100_99__10_1_3_treat1
IC. event_sdid_log_modif_nout_10_ab_r100_99__10_1_3_treat4
ID. event_sdid_log_modif_nout_10_ab_r100_99__10_1_3_treat3
IE. event_sdid_log_modif_nout_10_ab_r100_99__10_1_3_treat5
IIA. event_sdid_log_modif_nout_10_ab_r100_99__10_1_4_treat2
IIB. event_sdid_log_modif_nout_10_ab_r100_99__10_1_4_treat3
IIC. event_sdid_log_modif_nout_10_ab_r100_99__10_1_4_treat4
IID. event_sdid_log_modif_nout_10_ab_r100_99__10_1_4_treat5
IIE. event_sdid_log_modif_nout_10_ab_r100_99__10_1_4_treat1


Table C8. 
triple_did_stata_n_ab_rd_final

Appendix D.

Figure D1. 
A. count_transactions_2013
B. tot_venta_2013
C. count_pos_2013

Figure D2.
AI. hascard_2012_share_T_2009_b
AII. hascard_2012_share_T_2009_ub
BI. hascard_2012_share_rw_2009_b
BII. hascard_2012_share_rw_2009_ub
 
Figure D3
A. did_month_count_trans_b_log_modif_jan2012
B. did_month_tot_sales_b_log_modif_jan2012
C. did_month_hascard_b_log_modif_jan2012

Figure D4.
costarica_cardsales_congraph_replication 

Figure D5. (Public Data Code)
A. conditional_simple
B. formality_share
C. debit_card_exp_share

Figure D6. 
AI. cost_rebates_nominal
AII. cost_rebates_total
AIII. cost_rebates_firms
BI. cost_subsidy_nominal
BII. cost_subsidy_total
BIII. cost_subsidy_firms

Appendix E. 
Table E1. 
differences_hascard

Table E2. 
differences_hascard_retail

Table E3. 
hazard_hascard

Table E4. 
a. FirmFE_hascard
b. FirmFE_hascard2


As mentioned in the readme, the simplified version of the code does not reproduced exactly the SE synthetic difference-in-difference estimation (SDID).
The following exhibits are impacted by the simplification.  
--> Fig 3, Panel CII. 
--> Table 1, Panel C
--> Figure B13, panel C
--> Figure B14, panel C
--> Table C1, columns 9,10,11,12 
--> Table C2, columns 9,10,11
--> Table C3, columns 9,10,11
--> Figure C1, panel CI and CII
--> Table C6, columns 7,8,9
--> Figure C2, panel CII, 
--> Table C7, columns 9,10,11
--> Figure C6, all panels. 

Additionally, the compiler file for the server does not consider the manual step required for two figures (as described in the readme). So, panels C1 from Figure 3 and Figure 3 would be different from the ones in the paper. 




