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Data & statistics on Labor market characteristics by marital status – 22550 results

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Labour market characteristics by marital status
155 more results from this site ▶

Labour market characteristics by marital status

www.ilo.org/public/english/region/eurpro/geneva/download/events/lisbon2009/dwreports/dw_macedonia.pdf

Figure 13 Labour market characteristics by marital status Participation rate Employment rate Unemployment rate Total Single Married Widow Divorced Unmarried couple Source: Labour Force Survey, 2006. ...
Females participation rate varies with the marital status (see Figure 13). Highest participation rates have married and divorced females, which might suggest ...
data from the LFS on the number and age of children in a family, the status

Jan 2006 | International Labour Organization – 155 more results from this site
Original Url: http://www.ilo.org/public/english/region/eurpro/geneva/download/events/lisbon2009/dwreports/dw_macedonia.pdf
Sex Differences in Labor Market Characteristics by Marital Status and Pension Coverage.a

Sex Differences in Labor Market Characteristics by Marital Status and Pension Coverage.a

mailer.fsu.edu/~dmacpher/garnet-dmacpher/research/Pdf/women%20and%20pensions.pdf

1992 SCF Married women Single Women Single Women Single Women Men Men Men 1982 NEBS 1992 HRS Married Married women women ...
People expecting or receiving a pension benefit years of experience at survey female-male ratio years of work experience at retirement female-male ratio final income (1992 dollars) female-male ratio average benefit given coverage (1992 dollars) ... ...
1950 1951 1952 1953 1954 1955 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992

Jan 1992 | Florida State University
Original Url: http://mailer.fsu.edu/~dmacpher/garnet-dmacpher/research/Pdf/women%20and%20pensions.pdf
Compares the attrition and non-attrition sample on a number of key Wave 1 individual and household 32 characteristics that measure stage in the life cycle, gender, location, household type, marital status and labour market history. Persons particularly prone to attrition were marginally younger, lived in cities, were single, Indigenous and not working when the data collection began. Those less prone ...
125 more results from this site ▶

Compares the attrition and non-attrition sample on a number of key Wave 1 individual and household 32 characteristics that measure stage in the life cycle, gender, location, household type, marital ...

www.melbourneinstitute.com/downloads/hilda/Bibliography/AHURI_Final_Report_No133_The_dynamics_of_housing_affordability_movements_in_and_out_of_housing_affordability_stress_2001_2006.pdf

Wave 1 individual and household 32 characteristics that measure stage in the life cycle, gender, location, household type, marital status and labour market history ...
Income unit type (%) *** *** *** *** Marital status (%) *** *** Indigenous ...
APPENDICES Appendix 1: Does attrition matter? Table 20: Mean characteristics of persons lost to the panel due to attrition, 2001 Unemployed NILF *** *** Source: Authors’ calculations using confidentialised unit record files of the HILDA Survey

Jun 2009 | Melbourne Institute of Applied Economic and Social Research : The University of Melbourne – 125 more results from this site
Original Url: http://www.melbourneinstitute.com/downloads/hilda/Bibliography/AHURI_Final_Report_No133_The_dynamics_of_housing_affordability_movements_in_and_out_of_housing_affordability_stress_2001_2006.pdf
Deterministic Labor Income Coe cient of characteristic variables Constant Marital Status Family Size Coe cient of age dummies Constant Age Age2 =10 Age3 =100

Deterministic Labor Income Coe cient of characteristic variables Constant Marital Status Family Size Coe cient of age dummies Constant Age Age2 =10 Age3 =100

insr.wharton.upenn.edu/documents/seminars/f09-li.pdf

Table 1: Deterministic Labor Income Coe cient of characteristic variables Constant Marital Status Family Size Coe cient of age dummies Constant Age Age2 =10 Age3 =100 Pro le No high school High school College ...
[35] Mills, T.C., (1995), "Modeling Skewness and Kurtosis in the London Stock Exchange FT-SE Index Return Distributions, " The Statistician 44 (3), 323-332. [36] Mulligan, Casey (2002). \Capital, Interest, and Aggregate Intertemporal Substitution

Nov 2009 | Insurance and Risk Management
Original Url: http://insr.wharton.upenn.edu/documents/seminars/f09-li.pdf
Homemakers entering the Labor Market by Marital Status (%) 100

Homemakers entering the Labor Market by Marital Status (%) 100

www.levyinstitute.org/pubs/wp_774.pdf

Figure 4c: Homemakers entering the Labor Market by Marital Status (%) 100 2007-Ushock HHs 2007-Non-Shock HHs 2009-Ushock HHs 2009-Non-Shock HHs Never Married Married Divorced Widowed ...
scale family farming characteristic of rural women. By contrast, in unemployment

Jan 2009 | Levy Economics Institute of Bard College
Original Url: http://www.levyinstitute.org/pubs/wp_774.pdf
Estimated effects of personal and job characteristics (excluding industry) on training participation, employed workers Personal and labour market characteristics Standard error
52 more results from this site ▶

Estimated effects of personal and job characteristics (excluding industry) on training participation, employed workers Personal and labour market characteristics Standard error

www.mom.gov.sg/publish/etc/medialib/mom_library/mrsd/ms.Par.80394.File.tmp/The%20Impact%20of%20Structured%20Training.pdf

Table 2: Estimated effects of personal and job characteristics (excluding industry) on training participation, employed workers Personal and labour market characteristics Standard error Variable Age Age Female dummy PR dummy Marital status dummies

2058 (projection) | Ministry Of Manpower, Singapore – 52 more results from this site
Original Url: http://www.mom.gov.sg/publish/etc/medialib/mom_library/mrsd/ms.Par.80394.File.tmp/The%20Impact%20of%20Structured%20Training.pdf
Non-eligible unemployed had slightly lower (unconditional) gross real wages, but had equivalent level of education, and were also similar in terms of other socio-demographic characteristics such as marital status.

Non-eligible unemployed had slightly lower (unconditional) gross real wages, but had equivalent level of education, and were also similar in terms of other socio-demographic characteristics such as ...

econ.lse.ac.uk/staff/clandais/cgi-bin/Articles/Austria.pdf

Identification strategy Under double randomization (of treated labor markets and of treated individuals within labor markets), the selection term in equation 5 is zero ...
in labor market M = 1 to observed outcomes for workers in labor market M = 0. In our ...
to the following experimental framework. There are two labor markets, M = 0, 1. Labor market M = 1 is randomly selected to receive some exogenous treatment. Labor market M = 0 does not receive treatment and acts as a control. In labor market M = 1, a random subset

Sep 2013 | LSE Department of Economics
Original Url: http://econ.lse.ac.uk/staff/clandais/cgi-bin/Articles/Austria.pdf
Labour Market Outcomes and Personal Characteristics by Inter-Regional Mobility Category
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Labour Market Outcomes and Personal Characteristics by Inter-Regional Mobility Category

www.hrsdc.gc.ca/eng/cs/sp/hrsd/prc/publications/research/2000-002341/SP-456-08-01.pdf

heterogeneity in the following sections. Marital status and children variables may also affect the relationship between labour market outcomes and mobility. One might think ...
of the more common marital status/children dummy variables—single, no children (SGLNC

Nov 2003 | Human Resources and Skills Development Canada – 79 more results from this site
Original Url: http://www.hrsdc.gc.ca/eng/cs/sp/hrsd/prc/publications/research/2000-002341/SP-456-08-01.pdf
Tab. 6 Education and training participation (15-64 years old) by marital status in 1997 Source: Labour Force Survey, 1997

Tab. 6 Education and training participation (15-64 years old) by marital status in 1997 Source: Labour Force Survey, 1997

www.itb.uni-bremen.de/downloads/Publikationen/Arbeitspapiere/AP51.pdf

The next demographic characteristic examined is marital status. Tables ...
the effect of labour market characteristics on education and training participation ...
behind the effect of marital status lies definitely the effect of age. It

Jan 1997 | www.itb.uni-bremen.de
Original Url: http://www.itb.uni-bremen.de/downloads/Publikationen/Arbeitspapiere/AP51.pdf
Estimated effects of personal and job characteristics (excluding industry) on training participation, employed workers Personal and labour market characteristics Standard error

Estimated effects of personal and job characteristics (excluding industry) on training participation, employed workers Personal and labour market characteristics Standard error

www.fas.nus.edu.sg/ecs/pub/wp-scape/0702.pdf

Variable Age Age Female dummy PR dummy Marital status dummies (Excluded: 1. Single) 2. Married 3. Divorced/Widowed Education Education2 No education dummy ...
and market sales workers 8. Plant & machine operators & assemblers 9. Cleaners, labourers

2058 (projection) | National University of Singapore : Arts & Social Sciences
Original Url: http://www.fas.nus.edu.sg/ecs/pub/wp-scape/0702.pdf
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Related searches: distribution of the youth population by labor force status, trends in long term unemployment by age, female employment rates by age percent, adult labor force participation rates by gender, labor force participation rate by gender and marital status

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