property status and inter spousal dynamics in decision-making in karnataka
DESCRIPTION
PROPERTY STATUS AND INTER SPOUSAL DYNAMICS IN DECISION-MAKING IN KARNATAKA. Hema Swaminathan, Suchitra J. Y., Rahul Lahoti Centre for Public Policy Indian Institute of Management Bangalore ASSA meetings, Chicago, IL January 6-8, 2012 - PowerPoint PPT PresentationTRANSCRIPT
PROPERTY STATUS AND INTER SPOUSAL DYNAMICS IN DECISION-MAKING IN KARNATAKA
Hema Swaminathan, Suchitra J. Y., Rahul LahotiCentre for Public Policy
Indian Institute of Management BangaloreASSA meetings, Chicago, IL
January 6-8, 2012
URPE/IAFFE Panel on Asset Ownership, the Intra-Household Distribution of Wealth and Household Decision-Making in Ecuador, Ghana and India
Why assets?
AssetsAssets
Swaminathan et al 2012, ASSA
Gender and assets• Unitary model does not fully capture intra-household
resource allocations
• Inequalities are masked, especially those across gender
• Most databases world over collect asset information using ‘household’ as unit– NSSO All India Debt and Investment Survey collects asset
data at the household level
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Research questions• Exploring spousal (dis) agreement in household
decision-making
• Understanding the role of property ownership on women’s say in the household and on decision-making processes
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Individuals not households
Individuals not households
Move away from headship
concept
Move away from headship
conceptPrimaryPrimary
Two interviews within a
household
Two interviews within a
household
Primary and secondary
Primary and secondary
KHAS: A different approach
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Assets• Principal residence• Agricultural land• Other real estate• Livestock• Agricultural tools and equipment• Non-farm businesses• Consumer durables• Financial assets
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Study districts
QualitativeQuantitativeQualitative & Quantitative
Sample description
• Households with principal couple respondents
• 2,511 households – 71% rural, 29% urban
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Modes of acquisition Modes of Acquisition Dwelling Agricultural Land
Husband Wife Husband Wife
Natal Inheritance 56 4 84 13
Marital Inheritance 2 36 1 48
Purchased/Loan 31 37 8 24
Government Program 8 18 3 5
Other 3 5 4 10
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Decision-making
• Two decisions of both spouses:– Employment– Use of earnings
• Four responses possible for each decision:– Alone– In consultation– With permission– Cannot decide
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Decision-making (contd.)• Four outcome variables defined:
– Autonomous: wife decides alone about her employment and earnings
– Agreement in consulting (wife): both spouses agree that wife’s employment and earnings decisions are made consultatively with each other
– Agreement in consulting (husband): both spouses agree that husband’s employment and earnings decisions are made consultatively with each other
– Egalitarian: both spouses agree that their decisions are made consultatively with each other
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Property status variable
• Property defined as – Principal residence– Agricultural land
• Variable– Only wife owns– Only husband owns– Both own– Neither owns
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Empirical model
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RESULTS
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Incidence of ownership (%)
Property status Rural UrbanWife Husband Wife Husband
Residence owner 9 81 7 49
Agricultural land owner 5 63 1 16
Own either residence and agricultural land
11 86 8 55
Total number of respondents
1,778 733
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Property status & autonomy (%)
Decision-making process
Employment decision Earnings decision
Wife owns house or land
Wife owns neither
house nor land
Wife owns house or land
Wife owns neither
house nor land
Autonomous 23 14 23 12Consultative, with permission or not involved
77 86 77 88
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Property status & agreement in consultation (wife), %
Decision-making processEmployment decision Earnings decision
Wife owns house or land
Wife owns neither
house nor land
Wife owns house or land
Wife owns neither
house nor land
Agreement on consultative process
56 65 53 71
Agreement that spouse not involved in decision
4 2 8 3
Other agreement 8 5 4 6Overall agreement 68 72 65 80Overall disagreement 32 28 35 20
Swaminathan et al 2012, ASSA
Property status & agreement in consultation (husband), %
Decision-making processEmployment decision Earnings decision
Wife owns house or
land
Wife owns neither
house nor land
Wife owns house or
land
Wife owns neither
house nor land
Agreement on consultative process
29 32 39 45
Agreement that spouse not involved in decision
11 14 6 8
Other agreement 0 0 5 2Overall agreement 40 46 50 55Overall disagreement 60 54 60 45
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Property status & egalitarianism (%)
Decision-making processEmployment decision Earnings decision
Wife owns house or
land
Wife owns neither
house nor land
Wife owns house or
land
Wife owns neither
house nor land
Egalitarian 22 29 30 46Husband dominates 4 5 2 2Wife dominates 0 0 1 1Other agreement 4 3 5 4Overall agreement 31 36 39 52Overall disagreement 69 64 61 48
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Property status & decision-making, odds ratios (employment)
Employment
Wife decides independently
about her decision
Wife's decision: Couple agree
decision is consultative
Husband's decision: Couple agree decision is
consultative
Egalitarian decision making
Couple Property Ownership Status (base: Only husband owns)Only Wife owns 1.412 0.891 1.063 0.983 (0.407) (0.239) (0.308) (0.309)Both Own 1.394* 0.973 1.287 1.014 (0.275) (0.169) (0.227) (0.193)Neither Own 1.093 1.14 1.079 0.976 (0.207) (0.170) (0.175) (0.167)
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Property status & decision-making, odds ratios (earnings)
Earnings
Wife decides independently
about her decision
Wife's decision: Couple agree
decision is consultative
Husband's decision: Couple agree decision is
consultative
Egalitarian decision making
Couple Property Ownership Status (base: Only husband owns)Only Wife owns 3.232*** 0.332*** 1.454 0.798 (1.351) (0.125) (0.411) (0.310)Both Own 0.819 0.838 0.979 0.705 (0.287) (0.223) (0.174) (0.188)Neither Own 1.501 0.91 1.054 0.849
(0.441) (0.229) (0.160) (0.211)
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• Egalitarian outcome is ‘ideal’ and restrictive
• For property status to impact egalitarianism, it would have to – Impact her own involvement in decisions – Her spouse’s perception of her involvement
• May not be the case as women rarely acquire property independently (natal inheritance, purchase); mostly co-owners on husband’s property
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Other determinants• Women’s education
- No effect on employment decisionsIf more educated than husband, more likely to be
engaged in his employment decision
- Use of her earningsIncreased her ability to decide independently Decreased odds of agreeing it was consultative
• Broadly, any form of paid employment is better for her ‘voice’ than unpaid work
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Other determinants (contd.)• Increase in number of adult women negatively impacts
egalitarian process (employment)• Household wealth does not show a systematic effect• Rural couples
- More likely to be egalitarian - Women less likely to be autonomous
• Women in DK (matrilineal district) more likely to make decisions alone, less likely to be consultative and egalitarian
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Concluding thoughts• Women’s property status does matter
– Renders them more autonomous in making key economic decisions concerning themselves
• Agreement on consultation in both spouses’ decisions not systematically impacted – Asset acquisition of women largely mediated
through husbands
• Property ownership by itself may not be sufficient; how it is acquired also important
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Thank You!
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Swaminathan et al 2012, ASSA