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Theoretical Models of Consanguineous Marriage in Bangladesh
Transcript of Theoretical Models of Consanguineous Marriage in Bangladesh
36 IV were selected to be tested in this analysis
Respondent's feast amount spent at wedding
Respondent's gift amount spent at wedding
Respondent's total amount spent at wedding
Respondent's age at marriage
Respondent's parent's relation
Husband's parents' relation
Respondent's parents type of marriage
Husband's parents type of marriage
Respondent's type of marriage
Theoretical Models of Consanguineous Marriage in Bangladesh
quantitative data collected by Dr. Shenk in 2010 in Matlab, Bangladesh
Matlab population primarily Muslim (87%) with the remaining residents mostly Hindus
30% of the population has no formal education, with 66% having some secular education
Agricultural labor, owner-workers (farmers), and business were the three most common occupations amongst male head of households with 15%, 16% and 18%, respectively
Dowry is common in Matlab, being paid in 59.3% of marriage in 2009
944 women were randomly selected and surveyed between the ages of 19 and 67
12% of sample population had CM
Binary Logistic Regression
Dependent Variable: Respondent Marriage Relation
(0-non kin, 1-kin)
Why is consanguineous marriage, especially cousin marriage, so common in Bangladesh?
Do cousin marriage practices in Bangladesh match the theoretically predicted patterns from other cultures around the world?
How and why are cousin marriage practices changing in South Asia?
Dummies, Logged Variables and Consumer Price Index
Male occupation variables were split into three different categories: agricultural/fishing, artisan/day labor (without education), and education/industrialization occupations
90% confidence level shown through the p-value of .1 or lower
Nagelkerke R square-variables retained if they increased the R-squared by at least .05
Beta of the predictor used to show strength of the relationship between IVs and DV and whether the relationship was positive or negative
highest Nagelkerke R squared was 0.013
Consanguineous marriage occurs due to the economic benefits of being able to pay a lower dowry, or completely avoid paying dowry
Despite outside changes to the external economic or social environment, socio-cultural traditions continue and the practice of consanguineous marriage consequently remains strong
Possibly skewed dowry data due to some families paying zero and also the shift from dowry to brideprice in the society
Include variables such as religion, parent's age at marriage, residential patterns, revised dowry amounts and secondary/tertiary male occupations
Obtain qualitative data on this topic through NSF REU grant
Based on Jim Harvey's speech structures
Shift to more industrial society will cause a decrease in consanguineous marriage
Industrialization model across cultures
Dowry model across cultures
Cultural Tradition model across cultures
Interactions between Models
Presence of dowry
A study done in North India, as well as one in Bangladesh, show that women who have CM are less likely to bring a dowry into marriage. A study in South India, however, showed a possible decrease in CM due to the cultural increase of dowry as the male's family would seek out a non-relative bride
Consanguineous marriage (CM), or close kin marriage, is common practice in parts of the world, but the majority of the literature is biologically focused
A study done in Spain and two other in Pakistan and Nepal show that the maintenance of property is a major determinant for consanguineous marriage. Another study done in Pakistan showed that it was not a determinant.
Studies done in Egypt, Morocco, Tunisia, and Lebanon show a negative correlation between female education level and CM. In Beirut there was also a negative correlation between male education and CM
A study done in Chile showed almost double the amount of consanguineous marriages in areas than urban. Multiple studies around the world support this, but one in Lebanon showed no significant difference.
In India, CM couples frequently lived in extended families.
A strong positive correlation was found between family size and CM in 20th century North American Anabaptist groups
Literature on occupation was divided in India, Beirut and Pakistan. Both positive and negative correlations were seen.
Presence of dowry
Amount of dowry paid
Studies from Bangladesh, India and Pakistan CM was associated with paying a lower dowry
parental influence (arranged and CM parents)
In Beirut, CM was more common amongst husbands from the majority Muslim area of the city than the majority Christian area.
In South Asia and the Middle East, studies have shown that parental influence is a strong cause for CM
In Pakistan, easier transition for the bride was seen as a reason for CM. In India, however, divorce and separation was more common in CM
Type of marriage was split into: arranged marriage, arranged/love marriage, and love marriage
respondent’s parent’s income, husband’s parent’s income, current family’s income, respondent’s feast amount spent at wedding, respondent’s gift amount spent at wedding and respondent’s total amount spent at wedding
Majority of significant variables were from Industrial model; remainder were from Cultural Traditions. This suggests an interaction between models
Cultural Tradition predictors (parental influence and age at marriage) align with literature
Industrial predictors (occupation and education) did not always align with literature
Respondent’s Age at Marriage
Respondent’s Education level Respondent Employment
Husband's number of sisters living
Respondent Arranged Marriage
Husband’s Mother’s Employment
Husband’s Parents’ Relation
Respondent Arranged/Love Marriage
higher fertility rates
higher morality/morbidity rates
young age at marriage
Undergraduate Research Mentorship Program
My advisor Dr. Mary Shenk
Dr. Palmer and Dr. Panchanathan
Respondent's parents' annual income
Husband's parents' annual income
Current family's annual income
Respondent's father's education
Respondent's mother's education
Husband's father's education
Husband's mother's education
Respondent's parents own cropland
Husband's parents own cropland
Number of men from marital bari working in Dhaka
Number of men from marital bari working abroad
Number of labor migrants in the home
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Respondent's father's occupation
Husband's father's occupation
Respondent's mother's employment
Husband's mother's employment
Husband's number of brothers living
Husband's number of sister's living
Number of respondent's brothers
Number of respondent's sisters
Respondent's number of siblings