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August 2008 - Volume 2,
Issue 4
Factors Affecting
Age at Marriage in Two Major Divisions of Bangladesh: A Multiple
Classification Analysis (MCA)
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Md. Kamruzzaman1, Dr. Md. Nurul Islam1, Md. Mosiur
Rahman2 & Md. Mahfuzar Rahman2
Institutions
1.Department of Statistics, University of Rajshahi,
Rajshahi-6205, Bangladesh
2.Department of Population Science and Human Resource
Development, University of Rajshahi, Rajshahi-6205,
Bangladesh
Md. Mosiur Rahman
Department of Population Science and Human Resource
Development
University of Rajshahi, Rajshahi-6205, Bangladesh
E-mail: swaponru_2000@yahoo.com
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| ABSTRACT
The present study describes
the factors affecting age at marriage in Bangladesh
by examining the situation prevailing in two major divisions
using data from the 2000 Bangladesh Demographic and
Health survey (BDHS, 2000). The findings reveal that
among all the variables considered, women's education
is one of the most important correlates, which strongly
affect for explaining the variability in age at marriage
for these two major divisions. Although the average
level of education is very low, education still has
a strong positive relationship with age at first marriage.
The husband's education has come out to be a strong
determinant of age at marriage. Childhood residence
is also quite important; affecting age at marriage through
education and work participation, though the direct
effect is not as high as it was for education
Key Words:
Age at marriage, Multiple Classification Analysis (MCA)
and BDHS
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INTRODUCTION
Bangladesh, situated in South
Asia, is a unitary, independent and sovereign Republic known
as the People's Republic of Bangladesh and is the seventh
most populous country in the world (PRB, 2007). Ethnically,
Bangladesh is homogeneous, having only one major ethnic group
(98.8%) known as Bangalees. There are some ethnically different
tribal populations in the hilly regions of the country constituting
1.2%. Islam is the predominant religion with 88.30%, Hinduism
10.5%, Buddhism 0.6%, Christianity 0.3% and others 0.3% (BBS,
2003).
In Bangladesh, marriage means the
prescribed legal union between a man and woman, establishing
them in new social roles as husband and wife. Pre-marital
cohabitation does not exist and it is looked upon as a social
evil. Marriage is a desirable event and a universal phenomenon
in Bangladesh. Early marriage for women in Bangladesh is widespread
and most of them become married before reaching the age of
20 years. In rural Bangladesh, there is a common belief that
a girl aged 20 years is too old to marry. Constraints on marriage
that didn't exist before are, however, now making an appreciable
change - shortage of land, unemployment, etc. Also marriage
among the highly educated elite is becoming less desirable
as they are capable of supporting themselves free from the
contractualism of arranged marriages. As early as possible
a girl must go to her husband's household. For parents a post
puberty unmarried daughter is considered a danger because
of the secret desire to indulge in illicit coitus that might
be in their daughter's mind, which may result in social scandal
and for which the parents may be socially condemned and have
to face rancour and social boycott. If a daughter's marriage
is delayed, the parents feel guilty and begin to think of
her as a burden. Parents of girls who can arrange early marriage
for their daughters feel very proud. 30% of women age 10-49
have never married, while 65% are currently married. At age
10-14, the proportion never married is 93% and by age 25-29,
marriage is nearly universal for females only 4% have never
married. The proportion divorced, separated or deserted is
small in Bangladesh and widowhood is quite limited until older
ages. 12% of women age 40-44 and 16% of those 45-49 are widowed.
The proportion divorced or deserted is relatively even across
most age groups (to 4 percent).
Islam and Abedin (1996) show that
fertility takes place in the country over time and is contributed
much by the change in marital fertility, marriage pattern
and increasing use of contraception. Shaikh (1997) considered
the age at marriage and other aspects of nuptiality in Bangladesh
in the context of opportunities to accelerate national development.
It suggests that concerted efforts to increase the female
age at marriage could produce a number of beneficial effects
ranging from reduction in the incidence of divorce and widowhood
to a lowering of fertility. Islam and Ahmed (1998) investigate
marriage patterns and their determinants in Bangladesh and
believed that, whatever is the impact of the differentials
that could be discerned from the analysis, a lower age at
marriage (a) among rural women, (b) among those who are Muslims
and (c) among those without pre-marital exposure to work is
associated with a low level of education. Bittles and Hussain
(2000) show that the consanguineous marriage is widely favored
in a large majority of the world's Islamic populations. Fowers
et al. (2001) shows that the common tendency to describe one's
marriage in unrealistic terms has been conceptualized as a
positive illusion about marriage. Kiecolt-Glaser et al. (2003)
shows that Neuroendocrine function, assessed in 90 couples
during their first year of marriage (Time 1), was related
to marital dissolution and satisfaction 10 years later. Compared
to those who remained married, epinephrine levels of divorced
couples were 34% higher during a Time 1 conflict discussion,
22% higher throughout the day, and both epinephrine and nor
epinephrine were 16% higher at night.
Marriage policies can be directed
to a variety of objectives, such as the social condition of
unmarried women, the welfare of the unmarried elderly population,
the effect of migration on the marriage market and the social
and legal aspects of illegitimate children. The implications
deal primarily with demographic aspects and more specifically,
with the fertility implication of marriage in countries where
the current level of fertility is not deemed satisfactory.
This is why, the main aim and objective of this article is
to identify the direct and indirect effects of socio-economic
and demographic factors on marriage.
DATA AND MATERIALS
The data of the present study are
taken from Bangladesh Demographic and Health Survey (BDHS)
of 1999-2000. Survey collected data on marital status classifying
the status as Single (never married), Married, Divorce and
Widow Categories addressing female population. The 1999-2000
BDHS is a nationally representative survey of 10,544 ever-married
women aged 10-49 and 2,817 currently married men aged 15-49.
The marriage patterns are analyzed by means of a statistical
measure of arithmetic mean. A multivariate technique-Multiple
Classification Analysis (MCA) has been used for the analysis
of the determinants of age at marriage (Yates, 1934 and Anderson
Bancraft, 1952). In 1963, the computerized MCA program was
prepared by a group of researchers at the survey Research
Center of the University of Michigan. Since then, the MCA
program has been widely used in social science research.
RESULTS AND DISCUSSION
The variables that are considered
to look at the extent of effect on the marriage pattern of
the women are education of wife, childhood residence, religion
of wife, work status of woman before first marriage, husband's
education and husband's occupation. In this case, age at first
marriage is taken to be the dependent variable and the stated
socio-economic variables as explanatory variables. Table 1
shows that the mean age at first marriage both unadjusted
and adjusted by different socio-economic characteristics with
the values of h2 and b2 for Dhaka and Rajshahi divisions of
Bangladesh.
For Dhaka division, the proportion
of variance in age at marriage explained by female education
is the highest (unadjusted value of h2 =0.492 and adjusted
value of b2=0.426) among all other variables while the proportion
of variance explained by work status of women is the lowest
(h2 =0.019 and b2=0.006). For Rajshahi division, the proportion
of variance in age at marriage explained by female education
is the highest (unadjusted value of h2 =0.418 and adjusted
value of b2=0.372) among all other variables while the proportion
of variance explained by work status of women is the lowest
(h2 =0.002 and b2=0.017).
The proportion of variance in age
at marriage explained by childhood residence is h2 =0.204
and b2=0.052 for Dhaka division and h2 =0.156 and b2=0.064
for Rajshahi division. Among the included variables, it is
observed that the effect of childhood residential differential
has been found to be the third strongest differential for
explaining the variation on age at first marriage for both
the divisions.
The proportion of variance explained
by pre-marital work status (unadjusted) is h2 =0.019 and b2=0.006
for Dhaka division and h2 =0.002 and b2=0.017 for Rajshahi
division. For instance, Dhaka division has a density population,
so the land people ratio is very small. Rajshahi division
is sparsely populated, but has a relatively higher labor demand
than the other areas (Ahmed, 1982).
Religion of women has also shown
a significant contribution on age at marriage. The strength
in explaining the variability by this variable is (unadjusted)
h2 =0.160 and b2=0.152 for Dhaka division and h2 =0.023 and
b2=0.026 for Rajshahi division. Husband's education has a
significant effect on the variation of age at marriage of
women for these two divisions. The proportion of variance
explained by husband's education (unadjusted) is h2 =0.361
and b2=0.073 for Dhaka division and h2 =0.295 and b2=0.082
for Rajshahi division.
Husband's occupation has also shown
a positive association with age at first marriage and has
a significant effect on the variation of age at first marriage
for Dhaka and Rajshahi divisions. The strength of explaining
variability (unadjusted) is h2 =0.174 and b2=0.007 for Dhaka
division and h2 =0.120 and b2=0.026 for Rajshahi division.
| Table 1. Result
of MCA of age at marriage with indicated socio-economic
characteristics as explanatory variables and the coefficients
of h2 and b2, Dhaka and Rajshahi divisions, BDHS (1999-2000) |
| Dhaka
Division |
Rajshahi
Division |
| Explanatory Variable |
Unadjusted |
Adjusted |
h2 |
b2 |
Unadjusted |
Adjusted |
h2 |
b2 |
| Childhood residence |
|
|
|
|
|
|
|
|
| Urban |
15.88 |
15.30 |
|
|
15.19 |
14.70 |
|
|
| Rural |
14.62 |
14.98 |
0.204 |
0.052 |
14.12 |
14.26 |
0.156 |
0.064 |
| Education of women |
|
|
|
|
|
|
|
|
| No
education |
14.23 |
14.31 |
|
|
13.79 |
13.86 |
|
|
| Primary |
14.76 |
14.81 |
|
|
14.18 |
14.02 |
|
|
| Secondary |
16.24 |
15.97 |
|
|
15.26 |
15.13 |
|
|
| Higher |
20.05 |
19.54 |
0.492 |
0.426 |
19.59 |
19.06 |
0.416 |
0.372 |
| Work status of women |
|
|
|
|
|
|
|
|
| Did
not worked |
15.00 |
15.07 |
|
|
14.26 |
14.33 |
|
|
| Worked |
15.13 |
15.11 |
0.019 |
0.006 |
14.41 |
14.44 |
0.002 |
0.017 |
| Religion |
|
|
|
|
|
|
|
|
| Muslim |
14.95 |
14.96 |
|
|
14.26 |
14.33 |
|
|
| Non-Muslim |
16.57 |
16.50 |
0.160 |
0.152 |
14.57 |
14.57 |
0.023 |
0.026 |
| Husband education |
|
|
|
|
|
|
|
|
| No
education |
14.14 |
14.83 |
|
|
13.77 |
14.18 |
|
|
| Primary |
14.57 |
14.93 |
|
|
13.98 |
14.27 |
|
|
| Secondary |
15.55 |
15.29 |
|
|
14.42 |
14.45 |
|
|
| Higher |
17.22 |
15.46 |
0.361 |
0.073 |
16.43 |
14.90 |
0.295 |
0.082 |
| Husband occupation |
|
|
|
|
|
|
|
|
| Non-manual |
15.90 |
15.09 |
|
|
14.92 |
14.24 |
|
|
| Manual |
14.76 |
15.13 |
0.174 |
0.007 |
14.14 |
14.41 |
0.120 |
0.026 |
| |
|
|
|
|
|
|
|
|
| Proportion
of variance explained |
|
0.271 |
|
|
|
0.184 |
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Tables 2 and Table 3 corresponding
to the divisions Dhaka and Rajshahi produce the results of
zero order correlation coefficient of age at marriage with
various socio-economic variables. Using the values of the
coefficient b2 with the values of Tables 1, it is possible
to posit a causal model of socio-economic structural influences
on age at first marriage.
| Table 2. Zero
order correlation coefficient of socio-economic variables
of marriage pattern for Dhaka division (1999-2000) |
| |
X2
|
X3
|
X4
|
X5
|
X6
|
X7
|
| X2 |
1.000 |
-0.304** |
0.012 |
-0.013 |
-0.337** |
0.229** |
| X3 |
|
1.000 |
-0.084** |
> 0.127** |
0.644** |
-0.302** |
| X4 |
|
|
1.000 |
0.032* |
-0.59** |
0.008 |
| X5 |
|
|
|
1.000 |
0.125** |
0.010 |
| X6 |
|
|
|
|
1.000 |
-0.325** |
| X7 |
|
|
|
|
|
1.000 |
** Correlation is significant at
the 0.01 level.
* Correlation is significant at the 0.05 level.
| Table 3.
Zero order correlation coefficient of socio-economic
variables of marriage pattern for Rajshahi division (1999-2000) |
| |
X2 |
X3 |
X4 |
X5 |
X6 |
X7 |
| X2 |
1.000 |
-0.215** |
0.018 |
-0.017 |
-0.213** |
0.199** |
| X3 |
|
1.000 |
-0.169** |
0.093** |
0.600** |
-0.305** |
| X4 |
|
|
1.000 |
0.101** |
-0.136** |
0.028 |
| X5 |
|
|
|
1.000 |
0.038* |
0.002 |
| X6 |
|
|
|
|
1.000 |
-0.302** |
| X7 |
|
|
|
|
|
1.000 |
** Correlation is significant at
the 0.01 level.
* Correlation is significant at the 0.05 level.
CONCLUSION AND POLICY IMPLICATIONS
Among the selected socio-economic
variables as childhood residence of women, education of both
wife and husband, work status of women before first marriage,
religion of women and husband's occupation suggest that all
the variables considered, women's education is, by far, one
of the most important correlates which effects is the strongest
for explaining the variability in age at marriage for these
two divisions. Although the average level of education is
very low, education still has a strong positive relationship
with age at first marriage. The husband's education has come
out to be a strong determinant of age at marriage. Childhood
residence is also quite important; affecting age at marriage
through education and work participation, though the direct
effect is not as high as it was for education. In this regard,
the following policy recommendations are to be considered:
- The early marriage of women
(before age 18) should be discouraged by creating its effect
on reproductive health and fertility. To do this, the law
relating to it should be uniformly enforced all over the
country.
- The government can deliberately
manipulate economic incentives and disincentives to achieve
the national goals in education and fertility by involving
civil societies and various NGO's.
REFERENCES
Ahmed, A. (1982). "Marriage
and Divorce in Bangladesh". Unpublished Ph. D. Dissertation
Submitted to the Department of Sociology, University of Chicago.
Bangladesh
Demographic and Health Survey (BDHS) (1999-2000). "National
Institute of Population Research and Training (NIPORT)".
Ministry of Health and Family Welfare, Dhaka, Bangladesh.
Fowers, B.
J. (2001). "Positive illusions about marriage among married
and single individuals". J Fam Psychol, 25(1): 195-209.
Islam, N.
and S. Abedin (1996). "Some Observations on Marriage,
Contraception and Fertility in Bangladesh". Genus-vol.-II
n. 1-2.
Islam, M.
N. and A.U. Ahmed (1998). "Age at first marriage and
its differentials in Bangladesh". Asia Pacific Journal,
13(2): 73-92.
Kiecolt-Glaser
et al. (2003). "Love, marriage, and divorce: newlyweds'
strees hormones foreshadow relationship changes". Consult
Clin Psychol, 71(1): 176-88.
Shaikh, K.
(1997). "Recent changes in marriage patterns in rural
Bangladesh". Asia Pacific Population Journal, 12(3):
31-48.
Population
Reference Bureau (PRB) (2007). World Population Data Sheet,
Washington DC.
Yates, F. (1934). The Analysis
of Variance with Unequal Numbers in the Different Classes,
Journal of American Statistical Association, Vol. 29, pp.51-66.
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