rkd: Swedish municipalities

In causalweight: Estimation Methods for Causal Inference Based on Inverse Probability Weighting and Doubly Robust Estimation

Swedish municipalities

Description

A dataset containing information on Swedish municipalities in the years 1996-2004

Usage

rkd

Format

A data frame with 2511 rows and 53 variables:

code

Municipality code

year

Year

municipality

Minicipality name

pop_1

Population, lagged 1 year

pop

Population

partpop06

Share of population aged 0-6

partpop7_15

Share of population aged 7-15

partpop80_

Share of population aged 80+

partforeign

Share of foreign born population

costequalgrants

Cost-equalizing grants

popchange_10y

10 year out-migration, lagged 2 years

pers_admin

Personnel, administration

pers_child

Personnel, child care

pers_school

Personnel, schools

pers_elder

Personnel, elderly care

pers_total

Personnel, total (full time equivalents pers 1,000 capita)

pers_social

Personnel, social welfare

pers_tech

Personnel, technical services

expenditures_total

Total per capita public expenditures

wage_admin

Average montly wage, administration

wage_child

Average monthly wage, child care

wage_school

Average monthly wage, schools

wage_elder

Average monthly wage, elderly care

wage_total

Average monthly wage, total

wage_social

Average monthly wage, social welfare

wage_tech

Average monthly wage, technical services

pers_officials

Personnel, high administrative officials

pers_assistants

Personnel, administrative assistants

pers_priv_school

Outsourced personnel, schools

pers_priv_elder

Outsourced personnel, elderly care

pers_priv_social

Outsourced personnel, social welfare

pers_priv_child

Outsourced personnel, child care

migrationgrant

round(abs((popchange_10y+2)\*100)) if popchange_10y <= -2, 0 otherwise

migpop

migrationgrant\*pop_1

summigpop

sum(migpop) by year

sumpop

sum(pop_1) by year

migrationmean

summigpop/sumpop

exp_total

Annual expenditures on personnel in 100SEK/capita

exp_admin

Annual expenditures on personnel in 100SEK/capita

exp_child

Annual expenditures on personnel in 100SEK/capita

exp_school

Annual expenditures on personnel in 100SEK/capita

exp_elder

Annual expenditures on personnel in 100SEK/capita

exp_social

Annual expenditures on personnel in 100SEK/capita

exp_tech

Annual expenditures on personnel in 100SEK/capita

expshare_total

exp_total\*100/expenditures_total

expshare_admin

exp_admin\*100/expenditures_total

expshare_child

exp_child\*100/expenditures_total

expshare_school

exp_school\*100/expenditures_total

expshare_elder

exp_elder\*100/expenditures_total

expshare_social

exp_social\*100/expenditures_total

expshare_tech

exp_tech\*100/expenditures_total

outmigration

-popchange_10y

forcing

outmigration-2

References

Lundqvist, Heléne, Dahlberg, Matz and Mörk, Eva (2014): "Stimulating Local Public Employment: Do General Grants Work?" American Economic Journal: Economic Policy, 6 (1): 167-92.

Examples

## Not run: 
require(rdrobust)                             # load rdrobust package
require(causalweight)                         # load causalweight package
data(rkd)                                     # load rkd data
attach(rkd)                                   # attach rkd data
Y=pers_total                                  # define outcome (total personnel)
R=forcing                                     # define running variable
D=costequalgrants                             # define treatment (grants)
results=rdrobust(y=Y, x=R, fuzzy=D, deriv=1)  # run fuzzy RKD
summary(results)
## End(Not run)                             # show results

causalweight documentation built on April 3, 2025, 10:57 p.m.