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Human Development in India - NCAER

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10Gender and Family DynamicsMany chapters <strong>in</strong> this volume have highlighted gender disparities<strong>in</strong> various markers of well-be<strong>in</strong>g. These disparitiesare reced<strong>in</strong>g <strong>in</strong> some areas, such as education (Chapter 6),but rema<strong>in</strong> large <strong>in</strong> others, such as employment and wages(Chapter 4), and are even widen<strong>in</strong>g <strong>in</strong> others such as sex ratioat birth (Chapter 8). As discussed <strong>in</strong> other chapters, many ofthese <strong>in</strong>equalities are rooted <strong>in</strong> <strong>in</strong>stitutional structures—suchas labour markets—which provide unequal access to menand women. In this chapter, we focus on cultural normsand their operation with<strong>in</strong> households. Anyone who hasseen burqa-clad girls zoom<strong>in</strong>g around on two wheelers <strong>in</strong>Ahmedabad, or women <strong>in</strong> ghunghat work<strong>in</strong>g on constructionsites knows that tradition is not dest<strong>in</strong>y. However, itis also important to note that gender <strong>in</strong>equality emergeswith<strong>in</strong> a context of cultural norms. Marriage and k<strong>in</strong>shippatterns provide a background aga<strong>in</strong>st which parents arefaced with heart wrench<strong>in</strong>g choices between sons anddaughters, result<strong>in</strong>g <strong>in</strong> the preferential treatment of boys.This chapter provides empirical <strong>in</strong>formation regard<strong>in</strong>g thebehaviours and norms that shape the narrative of women’slives.TRADITION AND CONTOURS OFWOMEN’S LIVESMarriage and k<strong>in</strong>ship patterns affect both men’s and women’slives. As a vast number of sociological and anthropologicalstudies attest, marriage and k<strong>in</strong>ship practices <strong>in</strong> <strong>India</strong> varytremendously between regions, social classes, and communities.But these myriad variations notwithstand<strong>in</strong>g, somebroad patterns shape women’s lives. These patterns are identifiedbelow.Early and Arranged MarriageIn spite of ris<strong>in</strong>g levels of education and images of grow<strong>in</strong>gwesternization <strong>in</strong> <strong>India</strong>, love marriages rema<strong>in</strong> a rarity, evenamong urban educated elite. <strong>India</strong> is unusual, even amongdevelop<strong>in</strong>g countries, <strong>in</strong> that marriage <strong>in</strong> <strong>India</strong> is almostuniversal and most men and women marry at a relativelyyoung age. 1 As Table A.10.1a <strong>in</strong>dicates, even though the legalm<strong>in</strong>imum age at marriage for women is 18, 60 per cent aremarried before that age. The average age at marriage rangesbetween 16 and 23 years among ever-married women 25years and older <strong>in</strong> the IHDS sample. 2 Women <strong>in</strong> poor and lesseducated households often marry around the age of 16, buteven women from better off and more educated householdsmarry around age 19–20. The average age at marriage is 19.3years <strong>in</strong> metropolitan cities and is considerably lower <strong>in</strong> lessdeveloped villages. Regional differences <strong>in</strong> age at marriageare strik<strong>in</strong>g, with an average age at marriage of 15–17 years<strong>in</strong> central states like Bihar and Madhya Pradesh, and a higheraverage age at marriage <strong>in</strong> Punjab and Himachal Pradesh, aswell as <strong>in</strong> the southern states (see Table A.10.1b).1For data on age at marriage <strong>in</strong> other develop<strong>in</strong>g countries, see Mensch, S<strong>in</strong>gh, and Casterl<strong>in</strong>e (2005).2We exclude ever-married women under age 25 from this calculation. If we were to <strong>in</strong>clude younger cohorts, then women who marry at young ageswould be <strong>in</strong>cluded and those who delay marriage would not. Thus, <strong>in</strong>clud<strong>in</strong>g younger cohorts would bias the sample towards women who marry at youngages, such as those <strong>in</strong> rural areas and those with low levels of education.

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