THE DETERMINANTS OF FEMALE LABOR FORCE PARTICIPATION …
Transcript of THE DETERMINANTS OF FEMALE LABOR FORCE PARTICIPATION …
Rosemarie G. Edillon, Ph.D., ceso iUndersecretary
Policy and Planning Group
National Economic and Development Authority
THE DETERMINANTS OF FEMALE LABOR FORCE PARTICIPATION IN THE PHILIPPINES
Emily Cabegin, Ph.D. and Rebecca Gaddi, Ph.D.
The Life We Want
2
Strongly-bonded relationshipsMATATAG
Family is together Time with friends Work-life balance Strong sense of community
Secure futurePANATAG
Enough Resources for day-to-day needs and unexpected expenses
Peace and security Long and healthy life Comfortable retirement
Comfortable lifestyleMAGINHAWA
Free from hunger and poverty
Comfortable house with secure long-term tenure
Good transport Travel and vacation
OBJECTIVES OF THE STUDY
Determine factors that determine a woman’s decision to participate in the labor market using quantitative and qualitative approaches.
•General • Specific
• Describe trends and patterns in male and female employment
• Assess the micro-determinants
• Determine effects of cultural factors and social norms
• Identify statistical issues in fully capturing the contribution of women
• Provide policy/program recommendations
EMPIRICAL MODELS
1) The probit model of labor force participation
2) The multinomial probit model of employment states
EMPIRICAL MODELS
1 - unemployed2 - paid employee in government3 - paid employee in private establishment4 - paid employee in private household, family business, or farm5 - informal sector
EMPIRICAL MODELS
3) Cultural determinants of female employment status
Where Y participation in the labor force;X individual-level demographic and socioeconomic variables;C culture/religion;M exposure to media; andZ regional-level variables
Labor Force Participation Rate (LFPR), by sex (1995-2018)
Female Labor Force Participation Rate by Region, 2010-2017
Per Capita GRDP and Female LFPR (2016)
Labor force participation rate (%)
Per
Cap
ital
GR
DP
(0
00
)
Labor Force participation Rate (%)
Per Capita GRDP and Female LFPR (2016)Pe
r C
apit
al G
RD
P (
00
0)
NCR
MIMAROPA
ARMM
CENTRAL VISAYAS
NORTHERN MINDANAO
DAVAO REGION
Descriptive Statistics
Variable Female Male
Not in the LF 51.35 26.70
Unemployed 1.18 1.72
Paid employed (private est) 15.86 38.41
Paid employment (govt) 6.02 4.86
Paid employment (hh, family farm 5.70 1.25
Informal sector 19.89 27.06
DESCRIPTIVE STATISTICS (SURVEY)
Characteristic Women Men
Had college degree 20% 14%
Completed secondary education
39% 50%
Attending school 14% 14%
Average family size 6 6
With children 3 yrs old and below
30% 28%
With children 7-12yrs old 25% 25%
Findings
Determinants of the Labor Force Participation
AGE
PREDICTED PROBABILITY OF LABOR FORCE PARTICIPATION BY SEX
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Men’s LFPR higher than women across working life cycle, with widest gaps in women’s childbearing ages of 20 to 39 years old.
Gender gap in narrows down in the forties; attaining greater convergence in phasing out years to retirement.
EDUCATION
PREDICTED PROBABILITY OF LABOR FORCE PARTICIPATION, BY EDUCATION AND SEX A female college graduate’s likelihood to
participate in the labor force is 7 percentage points higher relative to those with primary education; about 10 percentage highercompared to those with high schooleducation and 14 percentage points higher relative to those with some college education.
Effect of a tertiary education on increasing labor force participation is significantly stronger for women than for men.
Determinants of Class of Worker
EDUCATION
Predicted Choice Probability of Class of Worker, by Education, Female sample
EDUCATIONPredicted Choice Probability of Class of Worker
, by Education, Male sample
MARITAL STATUS
Predicted Probability of Class of Worker by Marital Status, Female sample
Predicted Probability of Class of Workerby Marital Status, Male sample
Cultural Determinants of Female Employment Status
Marginal Effects from Probit Estimates of the Effect of Culture on Women Employment Status
Education Married Women Sample All Women Sample
Elementary undergraduate (reference category) (reference category)
Elementary graduate -4% -1.5%
High school undergraduate 3% -7%
High school graduate 5% 3%
College undergraduate 6% -4%
College graduate 54% 21%
Marginal Effects from Probit Estimates of the Effect of Culture on Women Employment Status
Patriarchy Index Married Women Sample
Low (Reference Category)
Moderate -8%
High -13%
Marginal Effects from Probit Estimates of the Effect of Culture on Women Employment Status
Religion Married Women Sample All Women Sample
Roman Catholic (Reference category) (Reference category)
Protestant and other Christian
14% 4%
Iglesia ni Cristo -1.5% 2%
Muslim -33% -13%
Others 15% 5%
Marginal Effects from Probit Estimates of the Effect of Culture on Women Employment Status
Pregnancy status Married Women Sample All Women Sample
Not pregnant (Reference category) (Reference category)
Pregnant -37% -13%
EXPOSURE TO MEDIA
Media exposure Married Women Sample
All Women Sample
Lowest (Reference category)
(Reference category)
Lower 2.2% -0.6
Moderate 5% 0.4
Higher 18% 4%
Highest 22% 4.4%
WOMEN OWNERSHIP TO ASSETS
Ownership of house and/or lot
Married Women Sample All Women Sample
Do not own house or lot (Reference category) (Reference category)
Woman jointly own house and/or lot
20% 8.3%
Woman alone own house and/or lot
9% 5%
P=
Time with familyTHE TLE
P=
Time with familyTHE* TLE*
THE TLE
RECOMMENDATIONS
1. Strengthen skill capacities and expand paid employment opportunities for less educated women;
2. Strengthen the sustainable livelihood programs for the poor;
3. Strengthen the enforcement of the Telecommuting Act; and
4. Counter discrimination in the workplace
POLICY RECOMMENDATIONS
On countering the stereotyped gender norms and a patriarchal mindset:
1. Increase public information and media coverage on the important role of the women workforce; and
2. Review educational learning materials and storybooks in early childhood to promote gender equality and dispel stereotyped gender roles.
On equal conjugal sharing of home and child care:
1.An extended paternity leave and parental leave encourages increased men’s involvement in prenatal visits, child care and housework and ensures a more equal conjugal sharing of domestic care that would free up some time for women to participate in the labor force.
2.An extended paternity leave will also lessen the discrimination of employers against hiring women.
On improving the workplace environment for working parents with young children:
Facilitate the back-to-work transition of workers taking a maternity or paternity leave, by providing them access to child care services for very young children.
• Executive Order No. 340
• Bills that require employers in private and public sectors to provide day care facilities
• Republic Act 10028
Greater Sensitivity of Women’s Work: Data Collection Methods
1. Conduct gender orientation trainings for survey enumerators and supervisors;
2. Provide a more reasonable quota of enumerators;
3. Include recovery questions or paraphrase questions;
4. Include stylized questions to capture data on other types of work than employment work.
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