View statlib-20050214 strikes (public)
























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- unknown (from Weka repository)
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- arff slurped Weka
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# Instances: 625 / # Attributes: 7
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- Original Data Format
- arff
- Name
- strikes
- Version mldata
- 0
- Comment
Data. The data consist of annual observations on the level of strike volume (days lost due to industrial disputes per 1000 wage salary earners), and their covariates in 18 OECD countries from 1951-1985. The average level and variance of strike volume varies across countries. The data distribution also features a long right tail and several large outliers. The 7 data fields include the following variables: (1) country code; (2) year; (3) strike volume; (4) unemployment; (5) inflation; (6) parliamentary representation of social democratic and labor parties; and (7) a time-invariant measure of union centralization. These data were analyzed in the forthcoming paper by Bruce Western, "Vague Theory and Model Uncertainty in Macrosociology," which is to appear in Sociological Methodology. Permission is given by the author to freely use and resdistribute these data.
Information about the dataset CLASSTYPE: numeric CLASSINDEX: 3
- Names
- country_code,year,strike_volume,unemployment,inflation,parliamentary_representation,union_centralization,
- Types
- numeric
- numeric
- numeric
- numeric
- numeric
- numeric
- numeric
- Data (first 10 data points)
coun... year stri... unem... infl... parl... unio... 1.0 1951.0 296.0 1.3 19.8 43.0 0.375 1.0 1952.0 397.0 2.2 17.2 43.0 0.375 1.0 1953.0 360.0 2.5 4.3 43.0 0.375 1.0 1954.0 300.0 1.7 0.7 47.0 0.375 1.0 1955.0 326.0 1.4 2.0 38.5 0.375 1.0 1956.0 352.0 1.8 6.3 38.5 0.375 1.0 1957.0 195.0 2.3 2.5 38.5 0.375 1.0 1958.0 133.0 2.7 1.3 36.9 0.375 1.0 1959.0 109.0 2.6 1.8 36.9 0.375 1.0 1960.0 208.0 2.5 3.8 36.9 0.375 ... ... ... ... ... ... ...
- Description
A gzip'ed tar containing StatLib datasets (statlib-20050214.tar.gz, 12,785,582 Bytes)
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- Publications
- Data Source
- http://lib.stat.cmu.edu/datasets/
- Measurement Details
- Usage Scenario
- revision 1
- by mldata on 2010-11-06 10:00
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Acknowledgements
This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
http://www.pascal-network.org/.