# Libraries
library(texreg)
source("functions/extract_ols_custom.R")
source("./functions/custom_texreg.R")
Table D.1: Individual Effects of Power-Sharing and Foreign Aid on Post-Conflict
Rule of Law (V-Dem Results)
# Libraries
library(texreg)
# source("functions/extract_ols_custom.R")
# source("./functions/custom_texreg.R")
library(rms)
# load Data
load("./data/diss_df.rda")
# Models
model_ps_v2x_jucon_cabcount <- rms::ols(v2x_jucon_t2 ~
cabinetCOUNT +
aiddata_AidGDP_ln +
ln_gdp_pc +
ln_pop +
conf_intens +
nonstate +
WBnatres +
fh
,
data = diss_df,
x = T, y = T)
model_ps_v2x_jucon_cabcount <- rms::robcov(model_ps_v2x_jucon_cabcount, diss_df$GWNo)
model_ps_v2x_jucon_seniorcount <- rms::ols(v2x_jucon_t2 ~
seniorCOUNT +
aiddata_AidGDP_ln +
ln_gdp_pc +
ln_pop +
conf_intens +
nonstate +
WBnatres +
fh
,
data = diss_df,
x = T, y = T)
model_ps_v2x_jucon_seniorcount <- rms::robcov(model_ps_v2x_jucon_seniorcount, diss_df$GWNo)
model_ps_v2x_jucon_nonseniorcount <- rms::ols(v2x_jucon_t2 ~
nonseniorCOUNT +
aiddata_AidGDP_ln +
ln_gdp_pc +
ln_pop +
conf_intens +
nonstate +
WBnatres +
fh
,
data = diss_df,
x = T, y = T)
model_ps_v2x_jucon_nonseniorcount <- rms::robcov(model_ps_v2x_jucon_nonseniorcount, diss_df$GWNo)
# Aid
model_dga_v2x_jucon_cabcount <- rms::ols(v2x_jucon_t2 ~
cabinetCOUNT +
log(dga_gdp_zero + 1) +
aiddata_AidGDP_ln +
ln_gdp_pc +
ln_pop +
conf_intens +
nonstate +
WBnatres +
fh
,
data = diss_df,
x = T, y = T)
model_dga_v2x_jucon_cabcount <- rms::robcov(model_dga_v2x_jucon_cabcount, diss_df$GWNo)
model_pga_v2x_jucon_cabcount <- rms::ols(v2x_jucon_t2 ~
cabinetCOUNT +
log(program_aid_gdp_zero + 1) +
aiddata_AidGDP_ln +
ln_gdp_pc +
ln_pop +
conf_intens +
nonstate +
WBnatres +
fh
,
data = diss_df,
x = T, y = T)
model_pga_v2x_jucon_cabcount <- rms::robcov(model_pga_v2x_jucon_cabcount, diss_df$GWNo)
model_bga_v2x_jucon_cabcount <- rms::ols(v2x_jucon_t2 ~
cabinetCOUNT +
log(commodity_aid_gdp_zero + 1) +
aiddata_AidGDP_ln +
ln_gdp_pc +
ln_pop +
conf_intens +
nonstate +
WBnatres +
fh
,
data = diss_df,
x = T, y = T)
model_bga_v2x_jucon_cabcount <- rms::robcov(model_bga_v2x_jucon_cabcount, diss_df$GWNo)
# Output
model_list <- list(model_ps_v2x_jucon_cabcount,
model_ps_v2x_jucon_seniorcount,
model_ps_v2x_jucon_nonseniorcount,
model_dga_v2x_jucon_cabcount,
model_pga_v2x_jucon_cabcount,
model_bga_v2x_jucon_cabcount)
coef_name_map <- list(cabinetCOUNT = "Power-Sharing (cabinet)",
seniorCOUNT = "Power-Sharing (senior)",
nonseniorCOUNT = "Power-Sharing (nonsenior)",
"cabinetCOUNT * aiddata_AidGDP_ln" = "PS (cabinet) * Aid",
"cabinetCOUNT:aiddata_AidGDP_ln" = "PS (cabinet) * Aid",
ps_share = "PS (cabinet share)",
"ps_share * aiddata_AidGDP_ln" = "PS (cabinet share) * Aid",
dga_gdp_zero = "DGA/GDP (log)",
program_aid_gdp_zero = "Program Aid/GDP (log)",
commodity_aid_gdp_zero = "Budget Aid/GDP (log)",
aiddata_AidGDP_ln = "Aid / GDP (log)",
ln_gdp_pc = "GDP p/c",
ln_pop = "Population",
conf_intens = "Conflict Intensity",
nonstate = "Non-State Violence",
WBnatres = "Nat. Res. Rents",
polity2 = "Polity",
fh = "Regime Type (FH)",
Ethnic = "Ethnic Frac.",
DS_ordinal = "UN PKO")
# custom functions to write tex output
source("./functions/custom_texreg.R")
environment(custom_texreg) <- asNamespace('texreg')
# # Output Manuscript
# custom_texreg(model_list,
# file = "../output/aid_ps_indeff_judind_vdem.tex",
# stars = c(0.001, 0.01, 0.05, 0.1),
# custom.coef.map = coef_name_map,
# symbol = "+",
# table = F,
# booktabs = T,
# use.packages = F,
# dcolumn = T,
# include.rsquared = F,
# include.cluster = T,
# star.symbol = "\\*",
# caption = "",
# include.lr = F,
# custom.multicol = T,
# custom.model.names = c(" \\multicolumn{3}{c}{ \\textbf{Power-Sharing}} & \\multicolumn{3}{c}{ \\textbf{Foreign Aid}} \\\\ \\cmidrule(r){2-4} \\cmidrule(l){5-7} & \\multicolumn{1}{c}{(1) }",
# "\\multicolumn{1}{c}{(2) }",
# "\\multicolumn{1}{c}{(3) }",
# "\\multicolumn{1}{c}{(4) }",
# "\\multicolumn{1}{c}{(5) }",
# "\\multicolumn{1}{c}{(6) }"))
# Output Replication Archive
htmlreg(model_list,
stars = c(0.001, 0.01, 0.05, 0.1),
custom.coef.map = coef_name_map,
symbol = "+",
table = F,
booktabs = T,
use.packages = F,
include.cluster = T,
dcolumn = T,
star.symbol = "\\*",
caption = "",
include.lr = F)
|
|
Model 1
|
Model 2
|
Model 3
|
Model 4
|
Model 5
|
Model 6
|
|
Power-Sharing (cabinet)
|
0.02*
|
|
|
0.02*
|
0.02*
|
0.02*
|
|
|
(0.01)
|
|
|
(0.01)
|
(0.01)
|
(0.01)
|
|
Power-Sharing (senior)
|
|
0.05*
|
|
|
|
|
|
|
|
(0.02)
|
|
|
|
|
|
Power-Sharing (nonsenior)
|
|
|
0.03*
|
|
|
|
|
|
|
|
(0.01)
|
|
|
|
|
DGA/GDP (log)
|
|
|
|
0.06
|
|
|
|
|
|
|
|
(0.04)
|
|
|
|
Program Aid/GDP (log)
|
|
|
|
|
-0.00
|
|
|
|
|
|
|
|
(0.04)
|
|
|
Budget Aid/GDP (log)
|
|
|
|
|
|
0.02
|
|
|
|
|
|
|
|
(0.02)
|
|
Aid / GDP (log)
|
-0.02**
|
-0.02**
|
-0.02**
|
-0.03***
|
-0.02+
|
-0.03**
|
|
|
(0.01)
|
(0.01)
|
(0.01)
|
(0.01)
|
(0.01)
|
(0.01)
|
|
GDP p/c
|
-0.05+
|
-0.05+
|
-0.05+
|
-0.04
|
-0.05
|
-0.05
|
|
|
(0.03)
|
(0.03)
|
(0.03)
|
(0.03)
|
(0.03)
|
(0.03)
|
|
Population
|
-0.00
|
-0.00
|
-0.00
|
-0.00
|
-0.00
|
-0.00
|
|
|
(0.02)
|
(0.02)
|
(0.02)
|
(0.01)
|
(0.02)
|
(0.02)
|
|
Conflict Intensity
|
-0.02
|
-0.02
|
-0.02
|
-0.04
|
-0.02
|
-0.03
|
|
|
(0.04)
|
(0.05)
|
(0.04)
|
(0.04)
|
(0.05)
|
(0.04)
|
|
Non-State Violence
|
-0.00
|
-0.00
|
-0.00
|
0.01
|
-0.00
|
0.00
|
|
|
(0.05)
|
(0.05)
|
(0.05)
|
(0.06)
|
(0.05)
|
(0.05)
|
|
Nat. Res. Rents
|
-0.00
|
-0.00
|
-0.00
|
-0.00
|
-0.00
|
-0.00
|
|
|
(0.00)
|
(0.00)
|
(0.00)
|
(0.00)
|
(0.00)
|
(0.00)
|
|
Regime Type (FH)
|
0.13***
|
0.13***
|
0.13***
|
0.13***
|
0.13***
|
0.13***
|
|
|
(0.01)
|
(0.01)
|
(0.01)
|
(0.01)
|
(0.01)
|
(0.01)
|
|
Num. obs.
|
273
|
273
|
273
|
273
|
273
|
273
|
|
R2
|
0.55
|
0.54
|
0.55
|
0.56
|
0.55
|
0.55
|
|
Adj. R2
|
0.53
|
0.53
|
0.53
|
0.54
|
0.53
|
0.53
|
|
***p < 0.001, **p < 0.01, *p < 0.05, +p < 0.1
|
Table D.2: Technical Robustness Checks: Outliers, Time, and Power-Sharing Codings
# Libraries
library(texreg)
source("./functions/extract_ols_custom.R")
source("./functions/extract_plm_custom.R")
library(tidyverse)
library(rms)
# load Data
load("./data/diss_df.rda")
# Outliers
# Load outlier function
source("./functions/outlier_analysis.R")
# Estimate baseline model
model_judind_cabcount <- rms::ols(LJI_t2 ~
cabinetCOUNT *
aiddata_AidGDP_ln +
log(GDP_per_capita) +
log(population) +
conf_intens +
nonstate +
WBnatres +
fh ,
data=diss_df, x=T, y=T)
model_judind_cabcount <- rms::robcov(model_judind_cabcount, diss_df$GWNo)
# selector variables
selectvars = c("Location", "year", "identifiers")
diss_df$identifiers <- paste(diss_df$GWNo, diss_df$year, sep = "-")
# Estimate outliers
judind_outliers <- check_outlier(model_judind_cabcount,
data = diss_df,
selectvars = selectvars,
clustervar = "GWNo")
# Time
model_judind_time <- rms::ols(LJI_t2 ~
cabinetCOUNT *
aiddata_AidGDP_ln +
log(GDP_per_capita) +
log(population) +
conf_intens +
nonstate +
WBnatres +
fh +
pcy + pcy2 + pcy3,
data=diss_df, x=T, y=T)
model_judind_time <- rms::robcov(model_judind_time, diss_df$GWNo)
# year FE
diss_df$yearFE <- as.factor(diss_df$year)
model_judind_yearfe <- rms::ols(LJI_t2 ~
cabinetCOUNT *
aiddata_AidGDP_ln +
log(GDP_per_capita) +
log(population) +
conf_intens +
nonstate +
WBnatres +
fh +
yearFE,
data=diss_df, x=T, y=T)
model_judind_yearfe <- rms::robcov(model_judind_yearfe, diss_df$GWNo)
# different cabinet aggregation types
model_judind_cabmax <- rms::ols(LJI_t2 ~
cabinetCOUNT_max *
aiddata_AidGDP_ln +
log(GDP_per_capita) +
log(population) +
conf_intens +
nonstate +
WBnatres +
fh ,
data=diss_df, x=T, y=T)
model_judind_cabmax <- rms::robcov(model_judind_cabmax, diss_df$GWNo)
model_judind_cabmin <- rms::ols(LJI_t2 ~
cabinetCOUNT_min *
aiddata_AidGDP_ln +
log(GDP_per_capita) +
log(population) +
conf_intens +
nonstate +
WBnatres +
fh ,
data=diss_df, x=T, y=T)
model_judind_cabmin <- rms::robcov(model_judind_cabmin, diss_df$GWNo)
model_judind_cabsix <- rms::ols(LJI_t2 ~
cabinetCOUNT_six *
aiddata_AidGDP_ln +
log(GDP_per_capita) +
log(population) +
conf_intens +
nonstate +
WBnatres +
fh ,
data=diss_df, x=T, y=T)
model_judind_cabsix <- rms::robcov(model_judind_cabsix, diss_df$GWNo)
model_list <- list(judind_outliers[[2]],
judind_outliers[[4]],
judind_outliers[[6]],
model_judind_time,
model_judind_yearfe,
model_judind_cabmax,
model_judind_cabmin,
model_judind_cabsix)
coef_map <- list(cabinetCOUNT = "Power-Sharing (cabinet)",
cabinetCOUNT_max = "Power-Sharing (cabinet)",
cabinetCOUNT_min = "Power-Sharing (cabinet)",
cabinetCOUNT_six = "Power-Sharing (cabinet)",
"cabinetCOUNT * aiddata_AidGDP_ln" = "Power-Sharing (cabinet) * Aid",
"cabinetCOUNT_max * aiddata_AidGDP_ln" = "Power-Sharing (cabinet) * Aid",
"cabinetCOUNT_min * aiddata_AidGDP_ln" = "Power-Sharing (cabinet) * Aid",
"cabinetCOUNT_six * aiddata_AidGDP_ln" = "Power-Sharing (cabinet) * Aid",
aiddata_AidGDP_ln = "Aid / GDP (log)",
GDP_per_capita = "GDP p/c",
population = "Population",
conf_intens = "Conflict Intensity",
nonstate = "Non-State Violence",
WBnatres = "Nat. Res. Rents",
polity2 = "Polity",
fh = "Regime Type",
pcy = "Time",
pcy2 = "Time$^2$",
pcy3 = "Time$^3$")
#
texreg::texreg(model_list,
stars = c(0.001, 0.01, 0.05, 0.1),
custom.coef.map = coef_map,
file = "../output/aidps_judind_tech_rob.tex",
symbol = "+",
table = F,
booktabs = T,
use.packages = F,
dcolumn = T,
include.lr = F,
custom.model.names = c("(1) Hat Values",
"(2) Cook's Distance",
"(3) DFBETA",
"(4) Cubic Time Trend",
"(5) Year FE",
"(6) PS: Max",
"(7) PS: Min",
"(8) PS: Six Months"),
include.adjrs = T,
caption = "",
star.symbol = "\\*",
include.rsquared = F,
include.cluster = T,
include.variance = F)
# Output Replication Archive
htmlreg(model_list,
stars = c(0.001, 0.01, 0.05, 0.1),
custom.coef.map = coef_map,
symbol = "+",
table = F,
booktabs = T,
use.packages = F,
dcolumn = T,
custom.model.names = c("(1) Hat Values",
"(2) Cook's Distance",
"(3) DFBETA",
"(2) Cubic Time Trend",
"(3) Year FE",
"(4) PS: Max",
"(5) PS: Min",
"(6) PS: Six Months"),
include.lr = F,
include.adjrs = T,
caption = "",
star.symbol = "\\*",
include.rsquared = F,
include.cluster = T,
include.variance = F)
|
|
(1) Hat Values
|
(2) Cook’s Distance
|
(3) DFBETA
|
(2) Cubic Time Trend
|
(3) Year FE
|
(4) PS: Max
|
(5) PS: Min
|
(6) PS: Six Months
|
|
Power-Sharing (cabinet)
|
0.08***
|
0.02***
|
0.04***
|
0.02**
|
0.03***
|
0.02**
|
0.02**
|
0.02**
|
|
|
(0.02)
|
(0.01)
|
(0.01)
|
(0.01)
|
(0.01)
|
(0.01)
|
(0.01)
|
(0.01)
|
|
Power-Sharing (cabinet) * Aid
|
-0.04***
|
-0.01***
|
-0.01***
|
-0.01**
|
-0.01**
|
-0.01**
|
-0.01**
|
-0.01**
|
|
|
(0.01)
|
(0.00)
|
(0.00)
|
(0.00)
|
(0.00)
|
(0.00)
|
(0.00)
|
(0.00)
|
|
Aid / GDP (log)
|
-0.02+
|
-0.01+
|
-0.01*
|
-0.02*
|
-0.02+
|
-0.02*
|
-0.02*
|
-0.02*
|
|
|
(0.01)
|
(0.01)
|
(0.01)
|
(0.01)
|
(0.01)
|
(0.01)
|
(0.01)
|
(0.01)
|
|
GDP p/c
|
-0.02
|
-0.00
|
-0.01
|
-0.02
|
-0.02
|
-0.02
|
-0.02
|
-0.02
|
|
|
(0.03)
|
(0.02)
|
(0.01)
|
(0.02)
|
(0.02)
|
(0.02)
|
(0.02)
|
(0.02)
|
|
Population
|
-0.02
|
-0.01
|
-0.01*
|
-0.02+
|
-0.02+
|
-0.02+
|
-0.02+
|
-0.02+
|
|
|
(0.01)
|
(0.01)
|
(0.01)
|
(0.01)
|
(0.01)
|
(0.01)
|
(0.01)
|
(0.01)
|
|
Conflict Intensity
|
0.02
|
0.04
|
0.03
|
0.02
|
0.02
|
0.02
|
0.02
|
0.02
|
|
|
(0.04)
|
(0.03)
|
(0.02)
|
(0.04)
|
(0.03)
|
(0.04)
|
(0.04)
|
(0.04)
|
|
Non-State Violence
|
-0.01
|
-0.01
|
0.00
|
0.01
|
0.02
|
0.01
|
0.01
|
0.01
|
|
|
(0.04)
|
(0.02)
|
(0.03)
|
(0.04)
|
(0.03)
|
(0.04)
|
(0.04)
|
(0.04)
|
|
Nat. Res. Rents
|
-0.00*
|
-0.00*
|
-0.00***
|
-0.00*
|
-0.00**
|
-0.00*
|
-0.00*
|
-0.00**
|
|
|
(0.00)
|
(0.00)
|
(0.00)
|
(0.00)
|
(0.00)
|
(0.00)
|
(0.00)
|
(0.00)
|
|
Regime Type
|
0.10***
|
0.10***
|
0.10***
|
0.10***
|
0.10***
|
0.10***
|
0.10***
|
0.10***
|
|
|
(0.01)
|
(0.01)
|
(0.01)
|
(0.01)
|
(0.01)
|
(0.01)
|
(0.01)
|
(0.01)
|
|
Time
|
|
|
|
-0.11*
|
|
|
|
|
|
|
|
|
|
(0.04)
|
|
|
|
|
|
Time\(^2\)
|
|
|
|
0.04*
|
|
|
|
|
|
|
|
|
|
(0.02)
|
|
|
|
|
|
Time\(^3\)
|
|
|
|
-0.00*
|
|
|
|
|
|
|
|
|
|
(0.00)
|
|
|
|
|
|
Num. obs.
|
250
|
257
|
204
|
272
|
272
|
272
|
272
|
272
|
|
Countries
|
45
|
45
|
42
|
46
|
46
|
46
|
46
|
46
|
|
Adj. R2
|
0.54
|
0.70
|
0.76
|
0.58
|
0.59
|
0.59
|
0.58
|
0.58
|
|
***p < 0.001, **p < 0.01, *p < 0.05, +p < 0.1
|
Table D.3: Power-Sharing, Foreign Aid and Post-Conflict Rule of Law: Reduced
Form Results
# Libraries
library(texreg)
source("./functions/extract_ols_custom.R")
source("./functions/extract_plm_custom.R")
library(tidyverse)
library(rms)
# load instrument
load(file = "./data/instrumentedAid2.RData")
load("./data/diss_df.rda")
diss_df <- merge(diss_df, instrument_df, by = c("year", "iso2c"), all.x = TRUE)
diss_df$total_sum_except <- as.numeric(diss_df$total_sum_except)
# subset only complete.cases / necessary for cluster.robust.se()
iv_na <- na.omit(diss_df[, c(
"cabinetCOUNT",
"cabinetINC",
"aiddata_Aid",
"aiddata_AidGDP_ln",
"aiddata_AidPC_ln",
"fh",
"GDP_per_capita",
"population",
"conf_intens",
"WBnatres",
"total_sum_except",
"year",
"GWNo",
"GDP",
"nonstate", "LJI_t2", "v2x_jucon_t2")])
##### IV #####
iv_na$aid_instrumented_gdp_ln <- log(iv_na$total_sum_except / iv_na$GDP)
diss_df$aid_instrumented_gdp_ln <- log(diss_df$total_sum_except / diss_df$GDP)
# to proceed with IV estimation I first hard-code the instrument
iv_na$instr_aid_gdp_ln <- log(iv_na$total_sum_except / iv_na$GDP)
# data transformation for Stata
iv_na$ln_gdp_pc <- log(iv_na$GDP_per_capita)
iv_na$ln_pop <- log(iv_na$population)
# stuff for stata
# diss_df$region_num <- as.numeric(as.factor(diss_df$region))
# diss_df$country_year_num <- as.numeric(as.factor(diss_df$country_year))
foreign::write.dta(iv_na, "./data/diss_df_IV.dta")
# hard code interaction variable
iv_na$cabincXaid <- iv_na$aiddata_AidGDP_ln * iv_na$cabinetINC
iv_na$cabincXaid_instr <- iv_na$aid_instrumented_gdp_ln * iv_na$cabinetINC
# Estimate Models
reduced_form_LJI <- ols(LJI_t2 ~
cabinetINC * aid_instrumented_gdp_ln +
log(GDP_per_capita) +
log(population) +
nonstate +
conf_intens +
WBnatres +
fh,
data = iv_na, x = T, y = T)
reduced_form_LJI <- robcov(reduced_form_LJI, iv_na$GWNo)
reduced_form_vdem <- ols(v2x_jucon_t2 ~
cabinetINC * aid_instrumented_gdp_ln +
log(GDP_per_capita) +
log(population) +
nonstate +
conf_intens +
WBnatres +
fh,
data = iv_na, x = T, y = T)
reduced_form_vdem <- robcov(reduced_form_vdem, iv_na$GWNo)
# Output
coef_name_map <- list(
cabinetINC = "Power-Sharing (binary)",
"cabinetINC * aid_instrumented_gdp_ln" = "Power-Sharing (binary) * Aid",
cabinetCOUNT = "Power-Sharing (cabinet)",
"cabinetCOUNT * aiddata_AidGDP_ln" = "Power-Sharing (cabinet) * Aid",
"cabinetCOUNT:aiddata_AidGDP_ln" = "PS (cabinet) * Aid",
aid_instrumented_gdp_ln = "Aid / GDP (log) instrumented",
"GDP_per_capita" = "GDP p/c (log)",
"population" = "Population (log)",
conf_intens = "Conflict Intensity",
nonstate = "Non-State Violence",
WBnatres = "Nat. Res. Rents",
polity2 = "Polity",
fh = "Regime Type (FH)",
Ethnic = "Ethnic Frac.",
DS_ordinal = "UN PKO")
#
# texreg(l = list(reduced_form_LJI,
# reduced_form_vdem),
# stars = c(0.001, 0.01, 0.05, 0.1),
# symbol = "+",
# file = "../output/iv_judind_reducedform.tex",
# table = F,
# booktabs = T,
# use.packages = F,
# dcolumn = T,
# custom.coef.map = coef_name_map,
# custom.model.names = c("(1) LJI",
# "(2) V-Dem"),
#
# star.symbol = "\\*",
# include.lr = F,
# include.cluster = T,
# include.rsquared = F,
# include.variance = F)
htmlreg(l = list(reduced_form_LJI,
reduced_form_vdem),
stars = c(0.001, 0.01, 0.05, 0.1),
symbol = "+",
table = F,
booktabs = T,
use.packages = F,
dcolumn = T,
custom.coef.map = coef_name_map,
custom.model.names = c("(1) LJI",
"(2) V-Dem"),
star.symbol = "\\*",
include.lr = F,
include.cluster = T,
include.rsquared = F,
include.variance = F)
Statistical models
|
|
(1) LJI
|
(2) V-Dem
|
|
Power-Sharing (binary)
|
1.18**
|
1.47+
|
|
|
(0.44)
|
(0.83)
|
|
Power-Sharing (binary) * Aid
|
-0.06**
|
-0.07+
|
|
|
(0.02)
|
(0.04)
|
|
Aid / GDP (log) instrumented
|
-0.00
|
0.01
|
|
|
(0.01)
|
(0.02)
|
|
GDP p/c (log)
|
0.00
|
-0.02
|
|
|
(0.02)
|
(0.03)
|
|
Population (log)
|
-0.02+
|
0.01
|
|
|
(0.01)
|
(0.02)
|
|
Conflict Intensity
|
0.00
|
-0.03
|
|
|
(0.04)
|
(0.05)
|
|
Non-State Violence
|
0.01
|
0.00
|
|
|
(0.04)
|
(0.05)
|
|
Nat. Res. Rents
|
-0.00*
|
-0.00
|
|
|
(0.00)
|
(0.00)
|
|
Regime Type (FH)
|
0.10***
|
0.13***
|
|
|
(0.01)
|
(0.01)
|
|
Num. obs.
|
270
|
270
|
|
Countries
|
46
|
46
|
|
Adj. R2
|
0.58
|
0.53
|
|
***p < 0.001, **p < 0.01, *p < 0.05, +p < 0.1
|
---
title: "Chapter 7: Rule of Law"
output: 
  html_document:
    toc: true
    toc_float: 
      collapsed: false
    code_download: true
    code_folding: "hide"

---


```{r, eval=F, message=F, warning=F, cache = F, comments = F}
# Libraries
library(texreg)
source("functions/extract_ols_custom.R")
source("./functions/custom_texreg.R")

```

# Table D.1:  Individual Effects of Power-Sharing and Foreign Aid on Post-Conflict
Rule of Law (V-Dem Results)

```{r, results="asis", message=F, warning=F, cache = F, comments = F}
# Libraries
library(texreg)
# source("functions/extract_ols_custom.R")
# source("./functions/custom_texreg.R")
library(rms)
# load Data
load("./data/diss_df.rda")


# Models 
model_ps_v2x_jucon_cabcount <- rms::ols(v2x_jucon_t2 ~
                               cabinetCOUNT +
                               aiddata_AidGDP_ln +
                               ln_gdp_pc +
                               ln_pop +
                               conf_intens +
                               nonstate + 
                               WBnatres + 
                               fh
                             ,
                             data = diss_df, 
                             x = T, y = T)
model_ps_v2x_jucon_cabcount <- rms::robcov(model_ps_v2x_jucon_cabcount, diss_df$GWNo)

model_ps_v2x_jucon_seniorcount <- rms::ols(v2x_jucon_t2 ~
                                  seniorCOUNT +
                                  aiddata_AidGDP_ln +
                                  ln_gdp_pc +
                                  ln_pop +
                                  conf_intens +
                                  nonstate + 
                                  WBnatres + 
                                  fh
                                ,
                                data = diss_df, 
                                x = T, y = T)
model_ps_v2x_jucon_seniorcount <- rms::robcov(model_ps_v2x_jucon_seniorcount, diss_df$GWNo)

model_ps_v2x_jucon_nonseniorcount <- rms::ols(v2x_jucon_t2 ~
                                     nonseniorCOUNT +
                                     aiddata_AidGDP_ln +
                                     ln_gdp_pc +
                                     ln_pop +
                                     conf_intens +
                                     nonstate + 
                                     WBnatres + 
                                     fh
                                   ,
                                   data = diss_df, 
                                   x = T, y = T)
model_ps_v2x_jucon_nonseniorcount <- rms::robcov(model_ps_v2x_jucon_nonseniorcount, diss_df$GWNo)

# Aid
model_dga_v2x_jucon_cabcount <- rms::ols(v2x_jucon_t2 ~
                                cabinetCOUNT +
                                log(dga_gdp_zero  + 1) +
                                aiddata_AidGDP_ln +
                                ln_gdp_pc +
                                ln_pop +
                                conf_intens +
                                nonstate + 
                                WBnatres + 
                                fh
                              ,
                              data = diss_df, 
                              x = T, y = T)
model_dga_v2x_jucon_cabcount <- rms::robcov(model_dga_v2x_jucon_cabcount, diss_df$GWNo)


model_pga_v2x_jucon_cabcount <- rms::ols(v2x_jucon_t2 ~
                                cabinetCOUNT +
                                log(program_aid_gdp_zero  + 1) +
                                aiddata_AidGDP_ln +
                                ln_gdp_pc +
                                ln_pop +
                                conf_intens +
                                nonstate + 
                                WBnatres + 
                                fh
                              ,
                              data = diss_df, 
                              x = T, y = T)
model_pga_v2x_jucon_cabcount <- rms::robcov(model_pga_v2x_jucon_cabcount, diss_df$GWNo)

model_bga_v2x_jucon_cabcount <- rms::ols(v2x_jucon_t2 ~
                                cabinetCOUNT +
                                log(commodity_aid_gdp_zero  + 1) +
                                aiddata_AidGDP_ln +
                                ln_gdp_pc +
                                ln_pop +
                                conf_intens +
                                nonstate + 
                                WBnatres + 
                                fh
                              ,
                              data = diss_df, 
                              x = T, y = T)
model_bga_v2x_jucon_cabcount <- rms::robcov(model_bga_v2x_jucon_cabcount, diss_df$GWNo)

# Output
model_list <- list(model_ps_v2x_jucon_cabcount, 
                   model_ps_v2x_jucon_seniorcount, 
                   model_ps_v2x_jucon_nonseniorcount, 
                   model_dga_v2x_jucon_cabcount, 
                   model_pga_v2x_jucon_cabcount, 
                   model_bga_v2x_jucon_cabcount)

coef_name_map <- list(cabinetCOUNT = "Power-Sharing (cabinet)",
                      seniorCOUNT = "Power-Sharing (senior)",
                      nonseniorCOUNT = "Power-Sharing (nonsenior)",
                      "cabinetCOUNT * aiddata_AidGDP_ln" = "PS (cabinet) * Aid", 
                      "cabinetCOUNT:aiddata_AidGDP_ln" = "PS (cabinet) * Aid",
                      ps_share = "PS (cabinet share)",
                      "ps_share * aiddata_AidGDP_ln" = "PS (cabinet share) * Aid",
                      dga_gdp_zero = "DGA/GDP (log)", 
                      program_aid_gdp_zero = "Program Aid/GDP (log)", 
                      commodity_aid_gdp_zero = "Budget Aid/GDP (log)", 
                      aiddata_AidGDP_ln = "Aid / GDP (log)",
                      
                      ln_gdp_pc = "GDP p/c",
                      ln_pop = "Population",
                      conf_intens = "Conflict Intensity",
                      nonstate = "Non-State Violence",
                      WBnatres = "Nat. Res. Rents",
                      polity2 = "Polity",
                      fh = "Regime Type (FH)",
                      Ethnic = "Ethnic Frac.",
                      DS_ordinal = "UN PKO")


# custom functions to write tex output
source("./functions/custom_texreg.R")
environment(custom_texreg) <- asNamespace('texreg')


# # Output Manuscript
# custom_texreg(model_list, 
#               file = "../output/aid_ps_indeff_judind_vdem.tex",
#               stars = c(0.001, 0.01, 0.05, 0.1), 
#               custom.coef.map  = coef_name_map,
#               symbol = "+",
#               table = F,
#               booktabs = T,
#               use.packages = F,
#               dcolumn = T,
#               include.rsquared = F,
#               include.cluster = T, 
#               star.symbol = "\\*", 
#               caption = "",
#               include.lr = F,
#               custom.multicol = T, 
#               custom.model.names = c(" \\multicolumn{3}{c}{ \\textbf{Power-Sharing}} & \\multicolumn{3}{c}{ \\textbf{Foreign Aid}} \\\\ \\cmidrule(r){2-4} \\cmidrule(l){5-7} & \\multicolumn{1}{c}{(1)  }",
#                                      "\\multicolumn{1}{c}{(2)  }",
#                                      "\\multicolumn{1}{c}{(3)  }",
#                                      "\\multicolumn{1}{c}{(4)  }",
#                                      "\\multicolumn{1}{c}{(5)   }",
#                                      "\\multicolumn{1}{c}{(6)   }"))

# Output Replication Archive
htmlreg(model_list, 
        stars = c(0.001, 0.01, 0.05, 0.1), 
        custom.coef.map  = coef_name_map,
        symbol = "+",
        table = F,
        booktabs = T,
        use.packages = F,
        include.cluster = T, 
        dcolumn = T,
        star.symbol = "\\*", 
        caption = "",
        include.lr = F)

```



# Table D.2: Technical Robustness Checks: Outliers, Time, and Power-Sharing Codings

```{r, results="asis", message=F, warning=F, cache = T, comments = F}
# Libraries
library(texreg)
source("./functions/extract_ols_custom.R")
source("./functions/extract_plm_custom.R")
library(tidyverse)
library(rms)

# load Data
load("./data/diss_df.rda")

# Outliers
# Load outlier function
source("./functions/outlier_analysis.R")

# Estimate baseline model
model_judind_cabcount <- rms::ols(LJI_t2 ~  
                        cabinetCOUNT * 
                        aiddata_AidGDP_ln +
                        log(GDP_per_capita) +
                        log(population) +
                        conf_intens +
                        nonstate + 
                        WBnatres +
                        fh ,
                      data=diss_df, x=T, y=T)
model_judind_cabcount <- rms::robcov(model_judind_cabcount, diss_df$GWNo)

# selector variables
selectvars = c("Location", "year", "identifiers")
diss_df$identifiers <- paste(diss_df$GWNo, diss_df$year, sep = "-")

# Estimate outliers
judind_outliers <- check_outlier(model_judind_cabcount, 
                                      data = diss_df,
                                      selectvars = selectvars, 
                                clustervar = "GWNo")




# Time 
model_judind_time <- rms::ols(LJI_t2 ~  
                        cabinetCOUNT * 
                        aiddata_AidGDP_ln +
                        log(GDP_per_capita) +
                        log(population) +
                        conf_intens +
                        nonstate + 
                        WBnatres +
                        fh +
                          pcy + pcy2 + pcy3,
                      data=diss_df, x=T, y=T)
model_judind_time <- rms::robcov(model_judind_time, diss_df$GWNo)

# year FE
diss_df$yearFE <- as.factor(diss_df$year)
model_judind_yearfe <- rms::ols(LJI_t2 ~  
                        cabinetCOUNT * 
                        aiddata_AidGDP_ln +
                        log(GDP_per_capita) +
                        log(population) +
                        conf_intens +
                        nonstate + 
                        WBnatres +
                        fh +
                        yearFE,
                      data=diss_df, x=T, y=T)
model_judind_yearfe <- rms::robcov(model_judind_yearfe, diss_df$GWNo)


# different cabinet aggregation types
model_judind_cabmax <- rms::ols(LJI_t2 ~  
                        cabinetCOUNT_max * 
                        aiddata_AidGDP_ln +
                        log(GDP_per_capita) +
                        log(population) +
                        conf_intens +
                        nonstate + 
                        WBnatres +
                        fh ,
                      data=diss_df, x=T, y=T)
model_judind_cabmax <- rms::robcov(model_judind_cabmax, diss_df$GWNo)

model_judind_cabmin <- rms::ols(LJI_t2 ~  
                        cabinetCOUNT_min * 
                        aiddata_AidGDP_ln +
                        log(GDP_per_capita) +
                        log(population) +
                        conf_intens +
                        nonstate + 
                        WBnatres +
                        fh ,
                      data=diss_df, x=T, y=T)
model_judind_cabmin <- rms::robcov(model_judind_cabmin, diss_df$GWNo)


model_judind_cabsix <- rms::ols(LJI_t2 ~  
                        cabinetCOUNT_six * 
                        aiddata_AidGDP_ln +
                        log(GDP_per_capita) +
                        log(population) +
                        conf_intens +
                        nonstate + 
                        WBnatres +
                        fh ,
                      data=diss_df, x=T, y=T)
model_judind_cabsix <- rms::robcov(model_judind_cabsix, diss_df$GWNo)

model_list <- list(judind_outliers[[2]], 
          judind_outliers[[4]],
          judind_outliers[[6]],
          model_judind_time, 
          model_judind_yearfe, 
          model_judind_cabmax, 
          model_judind_cabmin, 
          model_judind_cabsix)

coef_map <- list(cabinetCOUNT = "Power-Sharing (cabinet)",
                   cabinetCOUNT_max = "Power-Sharing (cabinet)",
                   cabinetCOUNT_min = "Power-Sharing (cabinet)",
                   cabinetCOUNT_six = "Power-Sharing (cabinet)",
                   "cabinetCOUNT * aiddata_AidGDP_ln" = "Power-Sharing (cabinet) * Aid", 
                   "cabinetCOUNT_max * aiddata_AidGDP_ln" = "Power-Sharing (cabinet) * Aid", 
                   "cabinetCOUNT_min * aiddata_AidGDP_ln" = "Power-Sharing (cabinet) * Aid", 
                   "cabinetCOUNT_six * aiddata_AidGDP_ln" = "Power-Sharing (cabinet) * Aid", 
                   aiddata_AidGDP_ln = "Aid / GDP (log)",
                   GDP_per_capita = "GDP p/c",
                   population = "Population",
                   conf_intens = "Conflict Intensity",
                   nonstate = "Non-State Violence",
                   WBnatres = "Nat. Res. Rents",
                   polity2 = "Polity", 
                 fh = "Regime Type", 
                   pcy = "Time", 
                   pcy2 = "Time$^2$", 
                   pcy3 = "Time$^3$")
# 
texreg::texreg(model_list,
       stars = c(0.001, 0.01, 0.05, 0.1),
       custom.coef.map = coef_map,
       file = "../output/aidps_judind_tech_rob.tex",
       symbol = "+",
       table = F,
       booktabs = T,
       use.packages = F,
       dcolumn = T,
       include.lr = F,
       custom.model.names = c("(1) Hat Values",
                              "(2) Cook's Distance",
                              "(3) DFBETA",

                              "(4) Cubic Time Trend",
                               "(5) Year FE",
                               "(6) PS: Max",
                               "(7) PS: Min",
                               "(8) PS: Six Months"),
       include.adjrs = T,
       caption = "",
       star.symbol = "\\*",
       include.rsquared = F,
       include.cluster = T,
       include.variance = F)

# Output Replication Archive
htmlreg(model_list, 
                stars = c(0.001, 0.01, 0.05, 0.1),
                custom.coef.map = coef_map,
                symbol = "+",
                table = F,
                booktabs = T,
                use.packages = F,
                dcolumn = T,
                 custom.model.names = c("(1) Hat Values",
                              "(2) Cook's Distance", 
                              "(3) DFBETA", 
                              
                              "(2) Cubic Time Trend", 
                               "(3) Year FE",
                               "(4) PS: Max", 
                               "(5) PS: Min", 
                               "(6) PS: Six Months"),
                include.lr = F,
                include.adjrs = T,
                caption = "", 
                star.symbol = "\\*", 
                include.rsquared = F,
                include.cluster = T,
                include.variance = F)



```


# Table D.3:  Power-Sharing, Foreign Aid and Post-Conflict Rule of Law: Reduced
Form Results


```{r, results="asis", message=F, warning=F, cache = T, comments = F}
# Libraries
library(texreg)
source("./functions/extract_ols_custom.R")
source("./functions/extract_plm_custom.R")
library(tidyverse)
library(rms)

# load instrument
load(file = "./data/instrumentedAid2.RData")
load("./data/diss_df.rda")

diss_df <- merge(diss_df, instrument_df, by = c("year", "iso2c"), all.x = TRUE)
diss_df$total_sum_except <- as.numeric(diss_df$total_sum_except)


# subset only complete.cases / necessary for cluster.robust.se()
iv_na <- na.omit(diss_df[, c(
                               "cabinetCOUNT", 
                               "cabinetINC", 
                               "aiddata_Aid",
                               "aiddata_AidGDP_ln",
                               "aiddata_AidPC_ln",
                               "fh",
                               "GDP_per_capita", 
                               "population", 
                               "conf_intens", 
                               "WBnatres", 
                               "total_sum_except", 
                               "year", 
                               "GWNo", 
                               "GDP",
                               "nonstate", "LJI_t2", "v2x_jucon_t2")])



##### IV #####

iv_na$aid_instrumented_gdp_ln <- log(iv_na$total_sum_except / iv_na$GDP)
diss_df$aid_instrumented_gdp_ln <- log(diss_df$total_sum_except / diss_df$GDP)

# to proceed with IV estimation I first hard-code the instrument
iv_na$instr_aid_gdp_ln <- log(iv_na$total_sum_except / iv_na$GDP)

# data transformation for Stata
iv_na$ln_gdp_pc <- log(iv_na$GDP_per_capita)
iv_na$ln_pop <- log(iv_na$population)

# stuff for stata
# diss_df$region_num <- as.numeric(as.factor(diss_df$region))
# diss_df$country_year_num <- as.numeric(as.factor(diss_df$country_year))
foreign::write.dta(iv_na, "./data/diss_df_IV.dta")

# hard code interaction variable
iv_na$cabincXaid <- iv_na$aiddata_AidGDP_ln * iv_na$cabinetINC
iv_na$cabincXaid_instr <- iv_na$aid_instrumented_gdp_ln * iv_na$cabinetINC

# Estimate Models
reduced_form_LJI <- ols(LJI_t2 ~ 
                         cabinetINC * aid_instrumented_gdp_ln +
                         log(GDP_per_capita) +
                         log(population) +
                         nonstate +
                         conf_intens +
                         WBnatres +
                         fh,
                       data = iv_na, x = T, y = T)
reduced_form_LJI <- robcov(reduced_form_LJI, iv_na$GWNo)


reduced_form_vdem <- ols(v2x_jucon_t2 ~ 
                          cabinetINC * aid_instrumented_gdp_ln +
                          log(GDP_per_capita) +
                          log(population) +
                          nonstate +
                          conf_intens +
                          WBnatres +
                          fh,
                        data = iv_na, x = T, y = T)
reduced_form_vdem <- robcov(reduced_form_vdem, iv_na$GWNo)


# Output


coef_name_map <- list(
                      cabinetINC = "Power-Sharing (binary)",
                      "cabinetINC * aid_instrumented_gdp_ln" = "Power-Sharing (binary) * Aid",
                      cabinetCOUNT = "Power-Sharing (cabinet)",
                      "cabinetCOUNT * aiddata_AidGDP_ln" = "Power-Sharing (cabinet) * Aid", 
                      "cabinetCOUNT:aiddata_AidGDP_ln" = "PS (cabinet) * Aid",
                     
                      aid_instrumented_gdp_ln = "Aid / GDP (log) instrumented",
                      
                      "GDP_per_capita" = "GDP p/c (log)",
                      "population" = "Population (log)",
                      conf_intens = "Conflict Intensity",
                      nonstate = "Non-State Violence",
                      WBnatres = "Nat. Res. Rents",
                      polity2 = "Polity",
                      fh = "Regime Type (FH)",
                      Ethnic = "Ethnic Frac.",
                      DS_ordinal = "UN PKO")
# 
# texreg(l = list(reduced_form_LJI, 
#                    reduced_form_vdem),
#           stars = c(0.001, 0.01, 0.05, 0.1),
#           symbol = "+",
#        file = "../output/iv_judind_reducedform.tex",
#           table = F,
#           booktabs = T,
#           use.packages = F,
#           dcolumn = T,
#           custom.coef.map = coef_name_map,
#           custom.model.names = c("(1) LJI",
#                                  "(2) V-Dem"),
#        
#         star.symbol = "\\*",
#         include.lr = F, 
#         include.cluster = T, 
#         include.rsquared = F, 
#         include.variance = F)

htmlreg(l = list(reduced_form_LJI, 
                   reduced_form_vdem),
          stars = c(0.001, 0.01, 0.05, 0.1),
          symbol = "+",
          table = F,
          booktabs = T,
          use.packages = F,
          dcolumn = T,
          custom.coef.map = coef_name_map,
          custom.model.names = c("(1) LJI",
                                 "(2) V-Dem"),
       
        star.symbol = "\\*",
        include.lr = F, 
        include.cluster = T, 
        include.rsquared = F, 
        include.variance = F)

```

