入保险人口数据集( Insured Population dataset)_数据挖掘_科研数据集

1、入保险人口数据集( Insured Population dataset数据介绍：This dataset includes separate tables for each country withinformation on basic demographic and labor force statistics and insured population for unemployment insurance and sickness cash benefit and recipients of retirement pensions. Where possible, we try to

2、 include coverage data as far back as 1960.关键词：被保险人, 国家, 人口统计, 劳动力, 失业保险, insuredpopulation,country,demographic,labor force,unemployment insurance,数据格式：TEXT数据详细介绍：nsured PopulationFilename: cwedins10.xlsVariables: There are 17 common variables with additional columns included comprising component me

3、asures used in calculations.Years: 1950-2002. Generally, data are only available from the 1960s.This dataset includes separate tables for each country with information on basic demographic and labor force statistics and insured population for unemployment insurance and sickness cash benefit and reci

4、pients of retirement pensions. Where possible, we try to include coverage data as farback as 1960.Specific details of how the insured (recipient population was determined are available in the relevant sections of the country notes.Common variables for each country1. PENCOV: Pensioners over retiremen

5、t age/population over retirement age2. UECOV: Proportion of the labor force insured for unemployment. Where specifically referred to as protected, public employees are included.3. SICKCOV Proportion of the labor force insured for sickpay.4. (AGEDPOP age is 65 for men and women.5. OVER656. RETF Retir

6、ement Age (Female7. RETM Retirement Age (Male8. LF Labor Force (OECD9. POP1564 Population 15-64 (OECD10. SE Self-employed (OECD11. UE Unemployed (OECD12. (UFL Unpaid Family Labor (OECD For some country years, this is not provided as a separate entry, but included in self-employed.13. POP Population

7、(OECD14. UEMEM Insured for unemployment15. SICKMEM Insured for sickpay16. RETPEN Pensioners over retirement age17. RETLF Persons in labor force who are above retirement ageAdditional columns in individual country tables provide more disaggregated information, and in some cases, the un employment “take-up” rates: