Summary information

Study title

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) --------------------------------------------- moricz_inequality_agriculture.csv --------------------------------------------- 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 --------------------------------------------- moricz_inequality_industry.csv --------------------------------------------- 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...
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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.

Related publications

Not available