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Inequality measures based on election data 1871 and 1892 for Swedish municipalities
Creator
Moricz, Sara (Lund University)
Study number / PID
snd1098-1-1.0 (SND)
https://doi.org/10.5878/cw7b-g897 (DOI)
Data access
Open
Series
Not available
Abstract
The data contains inequality measures at the municipality-level for 1892 and 1871, as estimated in the PhD thesis "Institutions, Inequality and Societal Transformations" by Sara Moricz. The data also contains the source publications:
1) tabel 1 from “Bidrag till Sverige official statistik R) Valstatistik. XI. Statistiska Centralbyråns underdåniga berättelse rörande kommunala rösträtten år 1892” (biSOS R 1892)
2) tabel 1 from “Bidrag till Sverige official statistik R) Valstatistik. II. Statistiska Centralbyråns underdåniga berättelse rörande kommunala rösträtten år 1871” (biSOS R 1871)
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moricz_inequality_agriculture.csv
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A UTF-8 encoded .csv-file. Each row is a municipality of the agricultural sample (2222 in total). Each column is a variable.
R71muncipality_id: a unique identifier for the municipalities in the R1871 publication (the municipality name can be obtained from the source data)
R92muncipality_id: a unique identifier for the municipalities in the R1892 publication (the municipality name can be obtained from the source data)
agriTop1_1871: an ordinal measure (ranking) of the top 1 income share in the agricultural sector for 1871
agriTop1_1892: an ordinal measure (ranking) of the top 1 income share in the agricultural sector for 1892
highestFarm_1871: a cardinal measure of the top 1 person share in the agricultural sector for 1871
highestFarm_1871: a cardinal measure of the top 1 person share in the agricultural sector for 1892
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moricz_inequality_industry.csv
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A UTF-8 encoded .csv-file. Each row is a municipality of the industrial sample (1328 in total). Each column is a variable.
R71muncipality_id: see above description
R92muncipality_id: see above description
indTop1_1871: an ordinal measure (ranking) of the top 1 income share in the industrial sector for...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
Not available
Country
Time dimension
Longitudinal: Panel
Analysis unit
Geographic unit
Universe
municipalities (not towns)
Sampling procedure
Total universe/Complete enumeration
Kind of data
Not available
Data collection mode
Not available
Access
Publisher
Swedish National Data Service
Publication year
2019
Terms of data access
Access to data through SND. Data are freely accessible.