Martin Fischer, Gawain Heckley, Martin Karlsson, and Therese Nilsson, 
"Revisiting Sweden's Comprehensive School Reform: Effects on Education 
and Earnings", Journal of Applied Econometrics, Vol. 37, No. 4, 2022, 
pp. 811-819.

Data availability

The research in this article builds on reform data on an educational
reform. The empirical analysis uses reform data merged with anonymized
micro data on the universe of individuals born in Sweden in 1938-1954
(where the main analysis is based on the cohorts born 1948 and 1953),
and anonymized survey data for the cohorts 1948 and 1953. 

The reform data for the 9-year reform were generously shared by Helena
Holmlund. 

The survey data comes from the Utvärdering genom uppföljning (UGU)
which also has been linked to administrative registers. Researchers
can gain access to the survey data by applying to the research
environment UGU at Gothenburg University
(https://www.gu.se/utvardering-genom-uppfoljning-ugu).

We also use the data used by Meghir and Palme (2005) in their original
article, which can be obtained from the AER website:
https://www.aeaweb.org/articles?id=10.1257/0002828053828671

The micro data set on builds on several data sources drawn from
Swedish administrative registers. Researchers can gain access to this
data at a cost by submitting an application to Statistics Sweden (SCB,
scb.se). The application should include a research proposal, a list of
registers and the section criteria to be used and a list on the
individuals that will use the data and their affiliations. 
Applications will have to be certified by SCB, and analyses of these
micro data sets must be carried out on their secured server. We are
happy to assist researchers, who have obtained access to the data and
who have an ethical research approval from the Swedish Ethical Review
Authority https://etikprovningsmyndigheten.se, to use our do-files to
replicate our empirical research.  


Data 

To replicate the results in the paper, the following sets of data are
required:

School reform 9-year: This data set includes information on the
specific year a specific municipality introduced the new comprehensive
school system (the 9-year reform). For detailed information, see
Hjalmarsson et al (2015), The effect of education on criminal
convictions and incarceration: causal evidence from micro-data. The
Economic Journal 125, no. 587 (2015): 1290-1326., and Holmlund (2008),
A researcher's guide to the Swedish compulsory school reform. CEEDP
(87). Centre for the Economics of Education, LSE.

The multi-generation register (flergenerationsregistret): The basis of
the administrative micro data set is the multi-generation register to
which all other data sets are linked using personal identifiers. Our
sample consists of the universe of individuals born in Sweden
1938-1954 and had not migrated from Sweden by 2012, and these people's
parents. The main analysis focuses on the cohorts 1948 and 1953.

Censuses (Folk- och bostadsräkningen 1960, 1965 and 1970): these data
sets include information on place of residence, parental occupation
and socioeconomic index (SEI). The 1970 census also includes
information on schooling in 1970. 

Register of education (utbildningsregistret): this data set is the
total registry of educational participation including information on
educational attainment (highest education) and alignment from which
post-mandatory attainments (vocational training and tertiary
education) is derived. 

IoT (inkomst and taxeringsregistret): This data set includes
individual incomes for all individuals liable of taxation on an annual
basis for the years 1968-2012. The main analysis focuses on incomes
for the years 1985-1996.

Utvärdering genom uppföljning survey (UGU): The survey data comes
from Utvärdering genom uppföljning and covers the cohorts 1948 and
1953 (individuals born the 5th,15th and 25th of). Using individuals'
personal identifiers, this survey data is linked to the same
multi-generation register, censuses and education registers, as listed
above.

MP data: This is the data used by Meghir and Palme (2005) in their
original article.
 
Transfer file - Parish codes 1965 -> parish codes 1960: To harmonize
the parish of residence over time, a transfer of codes between 1960
and 1965 was needed. Changes derived from Statistic Sweden Database
REGINA (Uttagssystemet för regionala indelningar,
http://regina.scb.se/ ). Filename: forsam6065.dta

Transfer file - Parish of birth for cohorts 1948,1953 -> municipality
codes 1960: Filename: pbcomb_kommun4853.dta

Do files (Stata)

Three master do-files are included, one for the administrative data,
one for the UGU survey data linked to register data and one for the MP
data. These set out the relevant do-files for the data preparation,
analysis and construction of all tables and figures in the paper. 

Administrative data (SIP): Macro_Admindata_JAE.do
Survey data I (UGU): 1_Macro_UGU_JAE.do
Survey data II (AER): 1_Macro_MP_JAE.do