Read Me file for Does Homicide Decrease with Globalization

Posted here is:
1.The replication dataset saved in Stata 15.1 format, called Does_Homicide Decrease_with_Globalization_Replication_Data.dta
2. The Stata do file to recreate the tables and figures in the paper, called Does_Homicide_Decrease_with_Globalization_Replicationcode.do

If you do not already have the user-written commands 'qregpd', 'ppmlhdfe', 'xtsemipar', 'combomarginsplot' installed, type 'findit qregpd', 'findit ppmlhdfe', 'findit xtsemipar', 'findit combomarginsplot' within Stata and install them. 

Then run Does_Homicide_Decrease_with_Globalization_Replicationcode.do. The code will use Does_Homicide Decrease_with_Globalization_Replication_Data.dta as input and generate both text files and Stata graphs that replicate all the tables and figures in the paper (Tables 1 and 2, Figures 1 and 2, and Supplementary Tables 2 through 6 and Figures 1 through 5).


The _m variables are equal to the original variable minus the grand mean 


As an example: suppose the grand mean trade openness is 1.0, and the first four country-years have trade openness values of 0.8, 1.0, 1.1, and 1.5. The transformation process subtracts off the grand mean from each country’s data, so that the data read: -0.2, 0, 0.1, and 0.5. 


Data Definitions

country: country name (WHO vital registration data)
country_2: country name (WHO data)
country_3: country name (WHO data without modelled estimates)
country_4: country name (UNODC data)

id: country identifier (WHO vital registration data)
id_2: country identifier (WHO data)
id_3: country identifier (WHO data without modelled estimates)
id_4: country identifier (UNODC data)

year: country year (WHO vital registration data)
year_2: country year (WHO data)
year_3: country year (WHO data without modelled estimates)
year_4: country year (UNODC data)

hom: homicide count (WHO vital registration data)
hom_2: homicide count (WHO data)
hom_3: homicide count (WHO data without modelled estimates)
hom_4: homicide count (UNODC data)

lnhr2: log homicide rate per 100,000 inhabitants (WHO vital registration data)
lnhr2_2: log homicide rate per 100,000 inhabitants (WHO data)
lnhr2_3: log homicide rate per 100,000 inhabitants (WHO data without modelled estimates)
lnhr2_4: log homicide rate per 100,000 inhabitants (UNODC data)

open: sum of import and export divided by GDP (WHO vital registration data)
open_2: sum of import and export divided by GDP (WHO data)
open_3: sum of import and export divided by GDP (WHO data without estimates)
open_4: sum of import and export divided by GDP (UNODC data)

opensqr: square term of open
opensqr_2: square term of open_2
opensqr_3: square term of open_3 
opensqr_4: square term of open_4

pop: population divided by 100,000 (WHO vital registration data)
pop_2: population divided by 100,000 (WHO data)
pop_3: population divided by 100,000 (WHO data without modelled estimates)
pop_4: population divided by 100,000 (UNODC data)

rgdp_ratio: GDP production side (WHO vital registration data)
rgdp_ratio_2: GDP production side (WHO data)
rgdp_ratio_3: GDP production side (WHO data without estimates)
rgdp_ratio_4: GDP production side (UNODC data)

cgdp_ratio: GDP consumption side (WHO vital registration data)
cgdo_ratio_2: GDP consumption side (WHO data)
cgdp_ratio_3: GDP consumption side (WHO data without estimates)
cgdp_ratio_4: GDP consumption side (UNODC data)

lnethnic: log ethnic fractionalization (WHO vital registration data)
lnethnic_2: log ethnic fractionalization (WHO data)
lnethnic_3: log ethnic fractionalization (WHO data without modelled estimates)
lnethnic_4: log ethnic fractionalization (UNODC data)


lnlinguistic: log linguistic fractionalization (WHO vital registration data)
lnlinguistic_2: log linguistic fractionalization (WHO data)
lnlinguistic_3: log linguistic fractionalization (WHO data without modelled estimates)
lnlinguistic_4: log linguistic fractionalization (UNODC data)

lnreligious: log religious fractionalization (WHO vital registration data)
lnreligious_2: log religious fractionalization (WHO data)
lnreligious_3: log religious fractionalization (WHO data without modelled estimates)
lnreligious_4: log religious fractionalization (UNODC data)

lnmistry: log misery index (WHO vital registration data)
lnmistry_2: log misery index (WHO data)
lnmistry_3: log misery index (WHO data without estimates)
lnmistry_4: log misery index (UNODC data)

SWID_Gini: Standardized World Income Inequality Database gini (WHO vital registration data)
SWID_Gini_2: Standardized World Income Inequality Database gini (WHO data)
SWID_Gini_3: Standardized World Income Inequality Database gini (WHO data without modelled estimtates)
SWID_Gini_4: Standardized World Income Inequality Database gini (UNODC data)

youth_match: percent youth population (WHO vital registration data)
youth_match_2: percent youth population (WHO data)
youth_match_3: percent youth population (WHO data without modelled estimates)
youth_match_4: percent youth population (UNODC data)

urban_match: percent urban population (WHO vital registration data)
urban_match_2: percent urban population (WHO data)
urban_match_3: percent urban population (WHO data without modelled estimates)
urban_match_4: percent urban population (UNODC data)

De-Meaned Variables (_m indicates de-meaned variables)

open_m: sum of import and export divided by GDP (WHO vital registration data)
open_m_2: sum of import and export divided by GDP (WHO data)
open_m_3: sum of import and export divided by GDP (WHO data without estimates)
open_m_4: sum of import and export divided by GDP (UNODC data)
open_msqr: square term of open_m
open_msqr_2: square term of open_m_2
open_msqr_3: square term of open_m_3
open_msqr_4: square term of open_m_4