Selecting a dataset
After reviewing the Gapminder
codebook, I have decided that my point of focus will be female employment
rates in different countries. My personal codebook will include the following
variables: female employ rate and employ rate. It would be interesting to look at the female employment rate in the context of the overall employment rate.
In recent years, the free market global economy has led to
increased industrialization and the mobility of populations to urban centers in
search of improved standards of living (Kim, 2007). I am interested in researching
whether urban rates have had an impact on female employment rates and observing
the distribution of the impact (if any) among different countries. I will add the
following variable to my codebook: urban rate.
Gapminder Codebook
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Unique Identifier:
Country
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Variable Name
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Description of Indicator
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Main Source
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Female Employ Rate
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2007 female employees age
15+ (% of population) Percentage of total population, age above 15, that has
been employed during the given year.
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International Labor
Organization |
Employ Rate
|
2007 total employees age
15+ (% of population) Percentage of total population, age above 15, that has
been employed during the given year.
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International Labor
Organization |
Urban Rate
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2008 urban population (%
of total) Urban population refers to people living in urban areas as defined
by national statistical offices (calculated using World Bank population
estimates and urban ratios from the United Nations World Urbanization
Prospects)
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World Bank
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Literature Review
Tacoli, Ceclia (March 2012). Urbanization,
gender and urban poverty: paid work and unpaid carework in the city. International
Institute for Environment and Development (IIED)
The paper notes that women tend to concentrate in
lower-quality, more precarious forms of paid work, partly because they need to
reconcile paid work with their primary responsibility for unpaid domestic and
care work within households. One consequence of this gender segmentation of
labor is that it prevents women from entering better paid and more protected
work.
International Labor Organization, ILO (March
2008) Global
Employment Trends for Women.
The paper reviews global labor market indicators between
1997 and 2007, including the labor force, employment and unemployment rates,
and the labor force participation rates. It notes that in 2007, 1.2 billion
women around the world worked, almost 200 million or 18.4 per cent more than
ten years prior. However, the number of unemployed women also grew from 70.2 to
81.6 million over the same period and women at the global level still had a
higher likelihood of being unemployed than men.
Kemal, Bicerli
Mustafa and Naci, Gundogan (2009) Female
Labor Force Participation in Urbanization Process: The Case of Turkey. MPRA
Paper No. 18249.
The paper discusses the characteristics, causes and
dimensions of female labor force participation in urbanization process of
Turkey. It reveals factors impacting women’s employment rates, including cultural
values against women’s participation in market work, women’s lack of education
and marketable skills, unfavorable labor market conditions and increases in
enrollment rates in all levels of schooling.
Hypothesis formulation
Based on the research review, it appears that while more
women have joined the labor force thanks to urbanization, they have encountered
several cultural and social obstacles that have negatively impacted their
employment rates. It would be interesting to study the correlation between urbanization and the female employment rate in the Gapminder dataset. Hypothesis:
Higher urbanization rates lead to
lower female employment rates.
Reference
Sukoo
Kim (February 2007) Immigration,
Industrial Revolution and Urban Growth in the United States, 1820-1920: Factor
Endowments, Technology and Geography
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