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ABSTRACT
The aim of the present study is to estimate the women empowerment
index value in Bangladesh since women's empowerment is a matter
of basic human rights which has during the last decade become
a panacea for Third World development. For this purpose BDHS
- 2004 data have been used which reveals that empowerment
level of women increases with age except the age group 45
- 49. Moreover, a mathematical model has been fitted to the
mean score of women empowerment index which shows that women
empowerment index follows a quadratic polynomial model.
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Introduction
Recent (2005-2007) estimates of Bangladesh's population range from
142 to 159 million, making it the 7th most populous nation in the
world. With a land area of 144,000 square kilometers, ranked 94th),
the population density is remarkable. A striking comparison is offered
by the fact that Russia's population is slightly smaller. Indeed
Bangladesh has the highest population density in the world, excluding
a handful of city-state (COTW, 2006). Despite sustained domestic
and international efforts to improve economic and demographic prospects,
Bangladesh remains a developing nation, in part due to its large
population (UNFPA, 2007). Its per capita income in 2006 was US$2300
(on purchasing power parity basis) compared to the world average
of $10,200 (CIAWF, 2007).[2] Yet, as the World Bank notes in its
July 2005 Country Brief, the country has made significant progress
in human development in the areas of literacy, gender parity in
schooling, and reduction of population growth (WB, 2005).
Like many other developing countries it needs
poverty alleviation and empowering women as well. Since the empowerment
of women is an essential precondition for the elimination of world
poverty and the upholding of human rights (DFID, 2000:8). Keller
and Mbwewe (1991) describe Women's empowerment as "a process
whereby women become able to organize themselves to increase their
own self-reliance, to assert their independent right to make choices
and to control resources which will assist in challenging and eliminating
their own subordination". According to ICPD there are five
components of women's empowerment: 1) women's sense of self worth
2) their right to determine choices 3) their right to have access
to opportunities and resources 4) their right to have the power
to control their own lives, both within and outside the home and
5) their ability to influence the direction of social change to
create a more just social and economic order, nationally and internationally.
Hashemi and Schuler (1993) defined the empowerment of women through
the use of six spheres: 1) sense of self and a vision of the future,
including resisting negative behaviors of the husband; 2) mobility
and visibility, including how women are treated when they are traveling;
3) economic security, including cash income, new skills and knowledge;
4) status and decision-making power within the household, including
making purchases on their own; 5) ability to interact effectively
in the public sphere, such as joining credit programs, and 6) participation
in non-family groups, such as credit programs and solidarity movements.
Women's empowerment is a matter of basic human
rights. Interest in women's empowerment among demographers and population
policy makers was heightened during the 1994 International Conference
on Population and Development (ICPD) held in Cairo, at which the
empowerment of women was legitimated as a social goal and enshrined
as a necessary condition for population stabilization (Hodgson and
Watkins 1997). Since then, critiques of demographers' views of gender
and women (Presser 1997; Watkins 1993) have grown apace with the
wealth of empirical studies investigating women's empowerment and
its demographic consequences (Amin et al. 1994; Balk 1994, 1997;
Chowdhury and Trovato 1994; Dharmalingam and Morgan 1996; Greenhalgh
and Li 1995; Jejeebhoy 1995; Malhotra, Vanneman, and Kishor 1995;
Morgan and Niraula 1995; Schuler and Hashemi 1994). Thus here efforts
have been made to measure the women empowerment index (WEI) score
for Bangladeshi women and to find out which types of models is more
appilicable to WEI score. Thus the specific objectives of this study
are:
i) to measure the WEI score by age
ii) to build up mathematical models to WEI score and
iii) to apply CVPP to the model to verify the validity of the model
Materials and Methods
Women empowerment is multidimensional and is very difficult to measure.
For constructing WEI and other analysis, a nationally representative
survey, Bangladesh Demographic and Health Survey (BDHS - 2004) (Mitra
and Associates, 2005), of 11,440 women of age 10-49 is used. The
survey was conducted under the authority of the National Institute
for Population Research and Training (NIPORT) over a five month
period from 1 January to 25 May 2004 using multistage cluster sampling.
In this study we have tried to measure women empowerment
in the domestic sphere by making women empowerment index using the
dimensions in accordance with Mason and Smith (2003). The particular
aspects or dimensions of domestic empowerment we take are:
1. Women's economic decision making power.
2. Their household decision making power.
3. Their physical freedom of movement.
The detailed description of these three dimensions
with their relevant indicators is given in table 1. Then the index
of each dimension was constructed where minimum and maximum values
were chosen for each underlying indicator. Performance in each indicator
is expressed as the minimum and maximum value between 0 and 1 in
accordance with the construction method of the Human Development
Index (UNDP, 2005) as follows:
IVij =
Where, (Xij), Min (Xij), Max (Xij) and IVij are,
respectively, the actual, minimum, maximum and dimension index.
The Women Empowerment Index (WEI) is then computed
by averaging these three indices.
Table 1: Description
of dimensions and indicators with their measurement
| NO. |
Component |
Description |
Coding |
Measurement Scale |
| 1. |
Economic Decision Making index |
Who
decides how to spend money |
1=Respondent alone
2=Respondent and husband/partner
3=Respondent and other person
4=Husband/partner alone
5=Someone else |
1,2,3 = 1
4,5 = 0 |
| Final
say on large household purchases |
1=Respondent alone
2=Respondent and husband/partner
3=Respondent and other
person
4=Husband/partner alone
5=Someone else
6=Decision not made/not
applicable |
1,2,3 = 1
4,5,6 = 0 |
| Final
say on making household purchases for daily needs |
1=Respondent alone
2=Respondent and husband/partner
3=Respondent and other
person
4=Husband/partner alone
5=Someone else
6=Decision not made/not
applicable |
1,2,3 = 1
4,5,6 = 0 |
| 2. |
Household decision making index |
Final
say on own health care |
1=Respondent alone
2=Respondent and husband/partner
3=Respondent and other person
4=Husband/partner alone
5=Someone else
6=Decision not made/not
applicable |
1,2,3 = 1
4,5,6 = 0 |
| Final
say on child health care |
1=Respondent alone
2=Respondent and husband/partner
3=Respondent and other
person
4=Husband/partner alone
5=Someone else
6=Decision not made/not
applicable
7=Not applicable/no child |
1,2,3 = 1
4,5,6,7 = 0 |
| Final
say on food to be cooked each day |
1=Respondent alone
2=Respondent and husband/partner
3=Respondent and other person
4=Husband/partner alone
5=Someone else
6=Decision not made/not applicable |
1,2,3 = 1
4,5,6 = 0 |
| Discussed
about family planning with partner |
1=Mainly
respondent
2=Mainly husband
3=Joint decision
4=Others |
1,3 = 1
2,6 = 0 |
| 3. |
Freedom of movement index |
Final
say on visits to family or relatives |
1=Respondent alone
2=Respondent and husband/partner
3=Respondent and other
person
4=Husband/partner alone
5=Someone else
6=Decision not made/not applicable |
1,2,3 = 1
4,5,6 = 0 |
| Goes
outside the village/town/city alone |
0=No
1=Alone
2=With children
6=Others |
1 = 1
0,2,6 = 0 |
| Goes
to a health centre or hospital alone |
0=No
1=Alone
2=With children
3=With husband
6=Others |
1 = 1
2,3,6 = 0 |
| Goes shopping alone or with
somebody else |
1=Alone
2=With children
3=With husband
4=With relatives |
1 = 1
2,3,4 = 0 |
Model Fitting
We plotted the women empowerment index value by
the respondent's current age in figure 1 which depicts that the
empowerment of women increases as age of women increases. But to
fit a specific mathematical model to WEI score, we plotted the mean
score of WEI by age groups which showed that mean score of WEI can
be distributed by polynomial model for different ages. Therefore
a polynomial is briefly discussed as an expression of the form:
Y = f(X) = a0 + a1X + a2X2 + ..............+ anXn
; (an ? 0)
(Waerden, 1948), where, x is age group; y is mean
score of WEI; a0 is the constant; ai is the coefficient of xi (i
=1, 2, 3,.........., n). If n = 0 then it becomes constant function.
If n=1 then it is polynomial of degree 1 i.e. simple linear function.
If n = 2 then it is polynomial of degree 2 i.e. quadratic polynomial,
etc. (Spiegel, 1992; Gupta and Kapoor, 1997).

Figure 1:
Graphical Representation of WEI by age
Model Validation Technique
To test the stability of the model, the cross validity prediction
power (CVPP), 2cv,
is applied here. The method for CVPP is given by
;
where n is the number of cases, k is the number of predictors in
the model and the cross-validated R is the correlation between observed
and predicted values of the dependent variable. The shrinkage of
the model is the absolute value of the difference between r2cv and
R2. Moreover, the stability of R2 of the model
is equal to (1- shrinkage) (Stevens, 1996).
Results and Discussion
Though BDHS- 2004 collected data from 11440 women
of age 10 - 49, we get only one women's relevant data for constructing
WEI in age group 10 - 14. That is why, mean scores of WEI are presented
in table 2 excepting score of age group 10 - 14.
We observe from table 2 that there is an upward
trend in the mean score of WEI from age 15 - 44 years. That is in
average the women who are under 20 years of age are much lower empowered
than the women who are in 40 - 44 age group.
Table 2: Mean score
of WEI by selected demographic variables
| Variables |
Mean Score of WEI |
| 15 - 19 |
0.5095 |
| 20 - 24 |
0.6615 |
| 25 - 29 |
0.6786 |
| 30 - 34 |
0.7473 |
| 35 - 39 |
0.7569 |
| 40 - 44 |
0.7845 |
| 45 - 49 |
0.6797 |
Now for fitting more appropriate model to the
WEI score, we utilize usual models such as Makehams, Logistic, Gompertz,
log-linear and semi-log linear. Among them, polynomial model of
order two best fits according to its shrinkages. So, only the outputs
of the poynomial model are exhibited in table 3 and figure 2.
The polynomial model for WEI in Bangladesh is
y = - 0.12013 + 0.04774x - 0.64e-3x2 ........................................(A)
which is the polynomial of degree two i. e. quadratic polynomial.
From table 3, it is shown that two parameters
of the fitted model are statistically significant with 93% of variance
explained and the model's shrinkage is 0.34824. This model will
be stable more than 57%.
Table 3: Information
of Model Fitting
| Model |
n |
k |
R2 |
r2cv |
Shrinkage |
Parameters |
Significant
Probability (p) |
| (A) |
7 |
3 |
0.92613 |
0.57788 |
0.34824 |
a0 |
0.41778 |
| a1 |
0.00542
|
| a2 |
0.00845 |

Figure 2: Graphical
Representation Observed and Fitted mean score of WEI
Note: C presents observed values
Conclusion
The level of women's empowerment in Bangladesh is not satisfactory
for any of the age group. Older women have more independence and
empowerment than younger women because they have more experience
with life, a better understanding of how to get what they want or
need, a closer relationship with the husband, or because they have
fulfilled certain social obligations to the husband and his family
(for example, bearing children or sons) and thus are more trusted
than are young wives, over whom tighter controls are maintained
(Tareque et. al., 2007). And the mathematical model of WEI score
in Bangladesh follows a quadratic polynomial model.
Further Scope
Table 2 and figure 2 show that not all women in Bangladesh are equally
empowered i. e. young aged women are less empowered than their older
counterparts. Now some questions will be arisen - why it is happened
and what the consequences are.
On average, girls who marry as adolescents attain
lower schooling levels, which cause lower self confidence, bargaining
power, freedom of choices etc. as a result they have less reproductive
control and suffer higher rates of maternal mortality and domestic
violence and thereafter less empowerment. We guess some other causes
like early female marriage make women low empowered. Thus further
research is needed to find out the rationale behind the above questions.

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