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Measuring Women in Poverty and Women

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Title: Measuring Women in Poverty and Women


1
Measuring Women in Poverty and Womens Economic
Contribution The Philippine Experience
Presented by Jessamyn O. Encarnacion
Global Forum on Gender Statistics Rome,
Italy 10-12 December 2007
2
Outline of Presentation
  1. Introduction
  2. Women in Poverty
  3. Womens Contribution to the Economy
  4. Concluding Remarks

3
I. Introduction
  • From 2000 to 2003, women accounted for the second
    largest number of poor population (after the
    children)

Magnitude of poor women Poverty Incidence ()
2000 12.2 million 32.3
2003 11.6 million 29.0
  • Gender differential still remains as an issue in
    economic participation
  • Economic participation - 80 for men versus 50
    for women in 2006
  • Employment rate - 74 for men versus 46 for
    women in 2005
  • Poses a challenge to the country in achieving
    Goal 3 of the MDGs!

4
I. Introduction
About the National Statistical Coordination Board
(NSCB)
  • The Philippine Statistical System is a
    decentralized statistical system
  • Many agencies of government generate statistics
  • NSO
  • Bureau of Agricultural Statistics
  • Bureau of Labor Employment Statistics
  • BSP
  • DENR, DOT, DepED, CHED, DOH, DOST, etc.
  • Need for coordinating agency

5
I. Introduction
About the NSCB
Executive Order 121, Series of 1987 Reorganizing
the Philippine Statistical System and for Other
Purposes
  • Issued on January 30, 1987
  • Created the National Statistical Coordination
    Board (NSCB) as the highest policy-making and
    coordinating body on statistical matters in the
    country

6
I. Introduction
About the NSCB
Our Products
  • Compiles the National Accounts of the Philippines
  • Estimates GDP, GNP
  • Generates Official Poverty Statistics
  • Poverty Threshold
  • Poverty Incidence
  • Philippine Statistical Yearbook
  • Leading economic index, foreign direct
    investments, etc.
  • Satellite accounts for tourism, health, education
  • Other economic and social statistics

7
I. Introduction
About the NSCB
Our Services
  • Coordination services
  • Inter-agency concerns
  • Survey review system
  • Designation of statistics
  • Subnational statistical system
  • Online statistical service
  • Technical services (including data requests and
    advocacy for statistical awareness)
  • Administers the NATIONAL STATISTICAL INFORMATION
    CENTER
  • http//www.nscb.gov.ph

8
I. Introduction
Coordination mechanisms
? Serves as the Secretariat to the Interagency
Committee (IAC) on Gender Statistics, which
serves as a strategic mechanism to sustain the
efforts and initiatives in the generation and
improvement of gender statistics and
institutionalize the implementation of the Gender
and Development Framework
9
II. Women in Poverty
Official Poverty Statistics
  • Starting 1985, Philippines official poverty
    estimates are regularly compiled by the NSCB
    (i.e., every three years)
  • Family Income and Expenditures Survey (FIES) is
    the main source of data on income and
    expenditure, conducted by the NSO every three
    years
  • These are disaggregated by geographical location
  • - National
  • - Regional
  • - Provincial
  • Still, one of the demands is poverty statistics
    at lower levels and sectoral disaggregation

10
II. Women in Poverty
  • Social Reform and Poverty Alleviation Act (RA
    8425)
  • Defined poverty in the Philippines
  • Also declared that the State should adopt an
    area-based sectoral and focused intervention to
    poverty alleviation
  • Defined the basic sectors as the disadvantaged
    sectors of Philippine society

11
II. Women in Poverty
14 Basic Sectors
  1. Farmer-peasant
  2. Artisanal fisherfolk
  3. Workers in the formal sector and migrant workers
  4. WOMEN
  5. Senior citizens
  6. Youth and students
  7. Children
  8. Urban poor
  9. Workers in the informal sectors
  10. Indigenous peoples and cultural communities
  11. Differently-abled persons
  12. Victims of calamities and disasters
  13. Cooperatives
  14. Non-government organizations

12
II. Women in Poverty
Poverty statistics for the basic sectors
  • Hence, in 2004, the NSCB embarked on the
    Development of Poverty Statistics for the Basic
    Sectors Project, funded by the UNDP, whose aim
    was to generate poverty statistics across all the
    basic sectors for the year 2000
  • In line with the NSCBs thrust of
    institutionalizing project outputs and
    activities, the NSCB Board, per Resolution No.
    11, Series of 2007, approved the Methodology for
    the Generation of Poverty Statistics for the
    Basic Sectors
  • Official poverty statistics on basic sectors
    cover 2000 and 2003

13
II. Women in Poverty
Data sources
  • 2000 and 2003 Family Income and Expenditures
    Survey (FIES)
  • 4th quarter 2000 and 2003 round of the Labor
    Force Survey (LFS) undertaken in January 2004
  • 2000 Census of Population and Housing (CPH)
  • 2000 and 2003 Philippine Poverty Statistics

14
II. Women in Poverty
Variable Data source
1. Income FIES was used for classifying households as poor or non-poor
2. Sectoral characteristic of the population LFS was used to assign household members into sectors
3. Total population Estimated total population of the sector based on the FIES and LFS. However, for years when the conduct of the CPH and FIES coincide, data from the CPH will be used (e.g., 2000) to estimate the total population for four sectors, namely, women, youth, children, and senior citizen. Otherwise, data from FIES will be used.
15
II. Women in Poverty
  • Both FIES and LFS follow the Integrated Survey of
    Households (ISH) sampling scheme, making the
    estimation of poverty incidence straightforward.
    For example, the poverty incidence for women is

Number of poor women Poverty incidence
women ----------------------------------
Total number of women
16
II. Women in Poverty
Poverty incidence among the eight sectors
Poverty Incidence among the Population (Phils.
2003) 30.0
Highlights
  • The poverty incidence for all sectors decreased
    from 2000 to 2003. The Women Sector exhibited a
    decrease of 3.3 percentage points over the 3-year
    period.
  • In terms of magnitude of poor population, the
    Children, Women and Urban Sectors are the
    largest.

17
II. Women in Poverty
  • Summary of findings

1 / Excludes NCR in 2000 due to high CV (with CV
gt 50 percent) 2/ Excludes CAR in 2000 due to high
CV (with CV gt 50 percent)
18
III. Womens Economic Contribution
  • Observed gender inequality in economic
    participation
  • Hence, men have greater economic visibility
    and higher contribution to the economy, more
    participation in making economic decisions, and
    more likely to have access to credit
  • Economic undercount of women thus puts them in a
    situation that can perpetuate, if not outright
    worsen the inequity between men and women
  • Need for information on womens and mens
    contribution to the economy
  • To adequately measure womens contribution in
    society
  • - means expanding the definition of the SNA
    production boundary to include non-market services

19
III. Womens Economic Contribution
  • Efforts on the generation of satellite accounts
  • a. Measuring The Contribution of Women To The
  • Philippine Economy by Romulo A. Virola and
    Sylvia M. de Perio (1998)
  • b. Womens Contribution To The Economy by
    Romulo
  • A. Virola (1999)
  • c. Do Women Contribute Less Than Men to Nation
    Building by Romulo A. Virola, Jessamyn
    O. Encarnacion, Armyl G. Zaguirre,
    Raymond S. Perez (2007)

20
III. Womens Economic Contribution
  • Taking off from the methodology used by Virola
    and de Perio in 1998
  • Using updated parameters from the results of the
    2000 TUS.

a/ Used in the 1998 study of Virola and de
Perio b/ Used in this study c/ Details of the
original were 1) rescaled to add up to 24
hours (1 day) and 2) weighted using urban (for
Quezon City) and rural (for Batangas) population
as weights.
21
III. Womens Economic Contribution
  • GDP by Sex
  • a. Using Total Employment (from LFS)
  • b. Using Total Hours Worked (from LFS)
  • - Data from the LFS was used as weights
  • - Used hours deemed to be more reflective of
    the quantity of participation of women or men
    in the labor force

22
III. Womens Economic Contribution
  • NFIA by sex
  • a. Net Compensation
  • - remittances by sex in the Survey of Overseas
    Filipinos (SOF) was used as weights
  • b. Net Property Income
  • - allocated equally to men and women due to
    unavailability of an allocation basis
  • GNP by sex
  • - simply the sum of GDP and NFIA by sex

23
III. Womens Economic Contribution
  • Multiplied by the total number of employed,
    unemployed and those outside the labor force from
    the LFS

24
III. Womens Economic Contribution
Methods Used in Valuation of Unpaid Work
Method Monetary value used in this study Labor force participation
1. Opportunity Cost (OC) Mean compensation per employee Employed
2. Market Price (MP) Employed Unemployed Not in the labor force
Generalist Janitor Employed Unemployed Not in the labor force
Specialist N/A Employed Unemployed Not in the labor force
Minimum Wage Minimum wage Employed Unemployed Not in the labor force
25
III. Womens Economic Contribution
  • Unpaid household and community services by sex
    was estimated using the same procedures except
    total time spent in community services was
    included
  • Direct estimation of unpaid household was used in
    computing for the self-valuation results

26
III. Womens Economic Contribution
  • Unpaid work adds 66.2 percent to GDP!

27
III. Womens Economic Contribution
  • Womens share to GDP increased by 8 percentage
    points!

28
III. Womens Economic Contribution
  • Women account for 59.6 percent of the total hours
    of unpaid work!

29
III. Womens Economic Contribution
  • Women not in the labor force account for more
    than half of the total value of unpaid work of
    women!

30
III. Womens Economic Contribution
  • Other findings of the study
  • Women accounted for only 27.4 percent of the
    total Net Factor Income from Abroad (NFIA)
  • Women contributed 46.2 percent of the adjusted
    Gross National Product (GNP) from 38.0 percent
    when unpaid work was not included

31
III. Womens Economic Contribution
Other NSCB Initiatives
  1. Core GAD Indicators Data Framework
  2. Philippine Statistical Handbook on Women and Men
  3. Coordination of statistical activities concerning
    the gender sector thru the Interagency Committee
    on Gender Statistics
  4. Philippine Gross National Happiness Index by sex

32
Digression
III. Womens Economic Contribution
Community participation volunteer work
Conceptual Framework
Religion and spiritual work
Cultural activities
Sex life
HI1
Education
Technological know-how
HI2
Family
Work
Friends
Philippine Happiness Index
Economy
Health
Environment
Income and financial security
Government
HI n
Leisure and sports
Politics
Note From 14 (during the pilot) to 17 domains
Others
Love life
33
III. Womens Economic Contribution
   BOTH MEN AND WOMEN FIND FAMILY AND FRIENDS
AS MOST IMPORTANT DOMAINS AND SOURCES OF
HAPPINESS, ENVIRONMENT, ECONOMY, GOVERNMENT AND
POLITICS AS THE LEAST! WOMEN FIND LOVE
IMPORTANT BUT NOT SEX WHILE MEN FIND BOTH LOVE
AND SEX IMPORTANT THERE IS A MISMATCH! WOMEN
ARE HAPPIER WITH SEX THAN MEN! BASED ON A
SINGLE QUESTION, WOMEN ARE HAPPIER THAN MEN! BUT
DERIVING INDEX FROM ALL DOMAINS OF HAPPINESS, MEN
ARE JUST AS HAPPY AS WOMEN!
34
III. Womens Economic Contribution
Other Efforts of the Philippine Statistical System
  • National Demographic and Health Survey
  • Maternal and Child Health Survey
  • Young Adult Fertility and Sexuality Survey

35
IV. Concluding Remarks
On measuring women in poverty
  1. The poorest sectors could be identified using
    the combined FIES-LFS data with some degree of
    reliability.
  2. Knowing which basic sectors were the poorest
    would help in designing appropriate poverty
    alleviation programs.
  3. More comprehensive poverty alleviation programs
    could be designed if estimates for the other
    sectors could be generated as well.

36
IV. Concluding Remarks
On measuring the contribution of women
  • Methodology needs improvement
  • Data limitations of the Philippine Statistical
    System
  • 3. Financial and manpower constraints of the
    NSCB
  • 4. Reports appear to be comparable to other
    countries
  • Better appreciation from international community
    will benefit the efforts to value unpaid work in
    the SNA

37
IV. Concluding Remarks
  • 6. Users should recognize the benefits from the
    generation of statistics and it will be helpful
    if they are able to demonstrate actual policy
    uses of statistics.
  • Need for statistical capacity building of the
    producers, users and the providers of statistics.
  • The Government thru the Department of Budget and
    Management and Congress should realize that
    statistics will play a the critical role in the
    global competition among knowledge-based
    economies in the Third Millennium.

38
Thank you!
visit www. nscb.gov.ph email
jo.encarnacion_at_nscb.gov.ph info_at_nscb.gov.ph
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