Mathias Klein and Roland Winkler, "The Government Spending Multiplier
at the Zero Lower Bound: International Evidence from Historical Data",
Journal of Applied Econometrics, Vol. 36, No. 6, 2021, pp. 744-759.

All files are zipped in kw-files.zip. This includes a mix of ASCCI
files (in DOS format) and binary files. Unix/Linux user should be
careful.

The main data set is kw-data.csv. The data are collected from three
main data sources:

a) Jordà-Schularick-Taylor Macrohistory Database
(https://www.macrohistory.net/database/),

b) Stockholm International Peace Research Institue
(https://www.sipri.org/databases) and

c) Correlates of War Project

The following variables are stored in the kw-data.csv file:

year           %Year, source: a)
country        %Country, source: a)
iso            %ISO 3-letter code, source: a)
ifs            %IFS 3-number country-code, source: a)
pop            %Population, source: a)
rgdpmad        %Real GDP per capita (PPP), source: a)
rgdppc         %Real GDP per capita (index, 2005=100), source: a)
rconpc         %Real consumption per capita (index, 2006=100), source: a)
gdp            %GDP (nominal, local currency), source: a)
iy             %Investment-to-GDP ratio, source: a)
cpi            %Consumer prices (index, 1990=100), source: a)
ca             %Current account (nominal, local currency), source: a)
imports        %Imports (nominal, local currency), source: a)
exports        %Exports (nominal, local currency), source: a)
narrowm        %Narrow money (nominal, local currency), source: a)
money          %Broad money (nominal, local currency), source: a)
stir           %Short-term interest rate (nominal, percent per year), source: a)
ltrate         %Long-term interest rate (nominal, percent per year), source: a)
stocks         %Stock prices (nominal index), source: a)
debtgdp        %Public debt-to-GDP ratio, source: a)
revenue        %Government revenues (nominal, local currency), source: a)
expenditure    %Government expenditure (nominal, local currency), source: a)
xrusd          %USD exchange rate (local currency/USD), source: a)
crisisJST      %Systemic financial crises (0-1 dummy), source: a)
tloans         %Total loans to non-financial private sector (nominal, local currency), source: a)
tmort          %Mortgage loans to non-financial private sector (nominal, local currency), source: a)
thh            %Total loans to households (nominal, local currency), source: a)
tbus           %Total loans to business (nominal, local currency), source: a)
hpnom          %House prices (nominal index, 1990=100), source: a)
milex          %Military expenditures, source: c)
milpers        %Military persons, source: c)
wardummy       %War dummy, source: c)
milex_sipri    %Military expenditure (SIPRI) /  in constant (2016) US$ m, source: b)
milex_sipri2   %Military expenditure (SIPRI) / local currency, calendar years, source: b)
eq_tr          %Equity total return, source: a)
eq_capgain     %Equity capital gain, source: a)
capital_tr     %Toral return on wealth, source: a)
risky_tr       %Total return on risky assets, source: a)
safe_tr        %Toral return on safe assets, source: a)

We have included all of the code to produce the numbers in our figures
and tables. The codes are written in Matlab. To reproduce the results
of the paper, select the resepctive Figure or Table folder and run the
required m.file.
 
_MilitarySpending always refers to the results when using the military
spending instrument and _BP refers to the results when using the
purified government spending instrument.

*****

Note that there are one or more .xlsx files in various directories.
Some of these have the same names as ones in other directories but
appear to be different.