2026-04-29T08:54:51Z https://datacatalogue.cessda.eu/oai-pmh/v0/oai

c99ab4c309be6eb480d35acf096b43434e87d4aae9ba8c7d08ea8016e9296035 2025-10-01T03:30:35Z language:svopenaire_data

Ojämlikhetsmått baserade på valdata 1871 och 1892 för svenska kommuner Swedish National Data ServiceSvensk nationell datatjänst Landing page Ojämlikhetsmått baserade på valdata 1871 och 1892 för svenska kommuner Inequality measures based on election data 1871 and 1892 for Swedish municipalities snd1098-1-1.0https://doi.org/10.5878/cw7b-g897 Moricz, Sara Moricz, Sara Swedish National Data ServiceSvensk nationell datatjänst 2019-04-10 Landing page national economynationalekonomieconomic historyekonomisk historia EconomicsNationalekonomiEconomic HistoryEkonomisk historia 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 1871 indTop1_1892: an ordinal measure (ranking) of the top 1 income share in the industrial sector for 1892 --------------------------------------------- moricz_R1892_source_data.csv --------------------------------------------- A UTF-8 encoded .csv-file with the source data. The variables are described in the adherent codebook moricz_R1892_source_data_codebook.csv. Contains table 1 from “Bidrag till Sverige official statistik R) Valstatistik. XI. Statistiska Centralbyråns underdåniga berättelse rörande kommunala rösträtten år 1892” (biSOS R 1892). SCB provides the scanned publication on their website. Dollar Typing Service typed and delivered the data in 2015. All numerical variables but two have been checked. This is easy to do since nearly all columns should sum up to another column. For “Folkmangd” (population) the numbers have been corrected against U1892. The highest estimate of errors in the variables is 0.005 percent (0.5 promille), calculated at cell level. The two numerical variables which have not been checked is “hogsta_fyrk_jo“ and “hogsta_fyrk_ov“, as this cannot much be compared internally in the data. According to my calculations as the worst case scenario, I have measurement errors of 0.0043 percent (0.43 promille) in those variables. --------------------------------------------- moricz_R1871_source_data.csv --------------------------------------------- A UTF-8 encoded .csv-file with the source data. The variables are described in the adherent codebook moricz_R1871_source_data_codebook.csv. Contains table 1 from “Bidrag till Sverige official statistik R) Valstatistik. II. Statistiska Centralbyråns underdåniga berättelse rörande kommunala rösträtten år 1871” (biSOS R 1871). SCB provides the scanned publication on their website. Dollar Typing Service typed and delivered the data in 2015. The variables have been checked for accuracy, which is feasible since columns and rows should sum. The variables that most likely carry mistakes are “hogsta_fyrk_al” and “hogsta_fyrk_jo”.Datan består av ojämlikhetsmått på kommunal nivå för 1871 och 1892 som presenteras i doktorsavhandlingen "Institutions, Inequality and Societal Transformations" av Sara Moricz. Datan består också av råmaterialet 1) tabel 1 från “Bidrag till Sverige official statistik R) Valstatistik. XI. Statistiska Centralbyråns underdåniga berättelse rörande kommunala rösträtten år 1892” (biSOS R 1892) 2) tabel 1 från “Bidrag till Sverige official statistik R) Valstatistik. II. Statistiska Centralbyråns underdåniga berättelse rörande kommunala rösträtten år 1871” (biSOS R 1871) Geographic unitGeographic unitGeografisk enhetGeografisk enhet municipalities (not towns)landskommuner Longitudinal: PanelLongitudinal: PanelLongitudinell: PanelLongitudinell: Panel Total universe/Complete enumerationTotal universe/Complete enumerationHela populationen/total räkningHela populationen/total räkning Access to data through SND. Data are freely accessible.Åtkomst till data via SND. Data är fritt tillgängliga. openAccess https://snd.se snd1098-1 2019-04-30T09:19:41Z ddi:codebook:2_5