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Men’s and Women’s Asset Accumulation and
     Implications for Social Protection:
  Evidence from Bangladesh and Uganda
        Agnes Quisumbing, Neha Kumar, and Julia Behrman
           International Food Policy Research Institute
                              October 2011



Research supported by AMA-CRSP, the Swiss Development
Corporation, and the World Bank


                                                        Wednesday, October 19, 2011
Assets: the wealth of families




INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE
Different assets can be held by men, women, and
         jointly—this varies across cultures




INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE   Page 3
Presentation overview
1. Motivation: why look at differential impact of shocks on
   men’s, women’s, and jointly held assets?
2. Survey design and data
     •      Bangladesh: CPRC-DATA-IFPRI long-term impact study + food
            price crisis survey (2006/7 and 2010)
     •      Uganda: HarvestPlus OFSP Reaching End User Impact
            Evaluation survey (2007 and 2009)
3. Descriptives
4. Impacts of shocks on men’s, women’s, and joint assets
5. Implications for social protection




INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE                     Page 4
Motivation: why look at gender-differentiated asset
                    accumulation?
• Accumulating evidence rejecting unitary model of the household
  in many countries—resources are not pooled within the
  household
• Growing evidence that risk is not pooled within households and
  that risk perceptions may also differ between men and women
• Anthropological evidence (Thailand, Indonesia, Bangladesh)
  suggests that men and women have different asset
  accumulation strategies, and use their assets in different ways
  to cope with shocks
• If this is true, how do we help women, men, and their families
  protect their livelihoods in the face of adverse events?




 INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE                Page 5
Research questions
• Is the impact of negative events and processes (flood
  shocks, dowries, illness, death) different on husband-,
  wife- and jointly-owned assets? Are these mitigated by
  positive events?
• Do these impacts differ depending on country and
  context?

• …And a policy-related question
• What are the implications for the design of social
  protection systems?



INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE           Page 6
Survey design and data




INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE      Page 7
Bangladesh: Map of study sites of longitudinal study 2006/7
                       and 2010




                                                       Page 8
Uganda: Map of study sites of OFSP REU impact
         evaluation 2007 and 2009

                    N




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                                                                          BUKEDEA

                                          LUWEERO
                                                          KAMULI          Ú
                                                                          Ê
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                                                                          Ê
                                                                                    Mbale

                                      KampalaÊ             Ú
                                                           Ê
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                                               Ê




                                                   MU
                                             Ú                                KAYUNGA




                                                     KO
               L. George                                                          Jinja




                                                        N O
                                                                               LEGEND
              L. Edward
                                                 L. Victoria
                                                                              Ú
                                                                              Ê    Major Towns

                                                                                   Non-OFSP Areas
                                                                                   Implementation Areas

                                50    0   50 Kilometers




                                                                                          Page 9
In both countries
• Surveys conducted with baseline in 2007 and
  follow-up after the food price crisis
• Detailed gender disaggregated data (in Uganda,
  baseline gender disaggregation collected
  retrospectively)
• Ownership categories: joint, husband, wife
  assets
• Analysis limited to intact, monogamous couples
  (couples that stayed together between 2007 and
  2009/10, excluding polygamous households)

INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE         Page 10
Assets have grown over time, but there are clear
           gender differences in asset ownership
                         Bangladesh                                                         Uganda
         Total value of assets by ownership
          status, in '000 taka (2007 values)                               Total Value of Assets by ownership
70                                                                          status in '000 UGS (2007 values)
                                                                    7000
60
                                                                    6000
50
                                                                    5000
40
                                                                    4000

30                                                                  3000
                                                             2007
                                                                                                                             2007
20                                                           2010   2000
                                                                                                                             2009
                                                                    1000
10
                                                                       0
 0                                                                         Total value Total value Total value Total value
     Total value of Jointly owned Nonland       Nonland                        of      of assets of assets of assets
       nonland         nonland      assets       assets                    household     jointly   owned by owned by
     assets owned       assets    exclusively exclusively                    assets    owned by husband           wife
        by the                   owned by the owned by the                              husband
      household                    husband        wife                                  and wife
Different types of assets are held individually and jointly in
     Bangladesh—joint assets dominate, except for land
                        Ownership shares by type of asset, 2010
100%

90%         16

80%                                                           39
                                                                                   49
70%                                            58                       57
                            62

60%

50%
            83
40%
                                                                        10
30%                                                           59                   42

20%                         36                 41
                                                                        33
10%
                                                                                    9
 0%          1               2                 1              2

          Land       Consumption Agricultural              Nonag      Jewelry   Livestock
                       durables   durables                durables
                                     Wife           Husband   Joint



INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE                                            Page 12
In Uganda, joint assets are less important than husband’s
               assets across most categories

                          Ownership Shares by type of Asset, 2009
     100%

      90%                                                      0.16
                               0.28            0.31
      80%        0.36
                                                      0.43

      70%

      60%                                                      0.43


      50%
                                               0.44                    2009 Joint
      40%
                 0.53          0.65
                                                      0.43
                                                                       2009 Husband
      30%                                                              2009 Wife
      20%                                                      0.41
                                               0.25
      10%
                 0.11                                 0.14
                               0.07
       0%

            Consumer         Land        Livestock Productive Cash
             durables                              equipment savings



INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE                                  Page 13
Floods and droughts




INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE      Page 14
Bangladesh: Negative shocks and positive events
                 Proportion of households reporting shocks and positive events
 50.00
 45.00
 40.00
 35.00
 30.00
 25.00
 20.00
 15.00                                                                           Type of shock
 10.00
  5.00
  0.00




INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE
Uganda: Negative shocks and positive
                    events
                    Percentage of households affected by shocks, 2007-09
     1.00
     0.90
     0.80
     0.70
     0.60
     0.50
     0.40
     0.30
     0.20
     0.10
     0.00




INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE                               Page 16
Equation to be estimated

Ait-AiB= ß0 + ß1 AiB + ß2AiB2 + ß3AiB3 + ß4AiB4+
   Zi(Shocks, Positive events)i + Ci(HH demographics,
   baseline wealth, village dummies)i + εit
Dependent variable: Asset growth
Regressors: Lagged assets (linear, squared, cubed, fourth)
Covariate shocks (floods, drought)
Idiosyncratic shocks (illness, death, dowry/wedding expenses)
Positive events (remittances, inheritance, received dowry)
HH demographic characteristics: age of head, age squared, hh size,
    proportion in age-sex categories
Value of (assets) land at baseline [assets in land equation; land in
    assets equation)
Location dummies

INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE                      Page 17
What is the impact of shocks?
• Look at the coefficients on shocks from
Zi(Shocks, Positive events)I
• Depending on specification, this is the change
   (or percentage change) in assets as a result of
   the shock
• We obtain this separately for men’s, women’s,
   and joint assets, and for different types of shocks




INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE      Page 18
Change in asset as a proportion of baseline holdings,
                            Bangladesh
    0

          Flood         Drought Price shock    Illness   Death
   -5


  -10


  -15


  -20                                                            Hus Land
                                                                 Hus Assets
  -25
                                                                 Wife Assets
  -30


  -35


  -40


  -45




INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE                           Page 19
Change in asset as a proportion of baseline holdings,
                              Uganda
   40


   20


    0

           Flood         Drought      Price Shock   Illness   Death
  -20


  -40                                                                 Joint Assets
                                                                      Hus Land
  -60
                                                                      Wife Assets
  -80


 -100


 -120


 -140




INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE                                 Page 20
Consumer goods, livestock and jewelry: where the action
                    is in Bangladesh
   0

          Flood         Drought      Price shock   Illness   Death
 -10




 -20                                                                 Hus consumer
                                                                     Jt jewel
                                                                     Hus jewelry
 -30
                                                                     Wif jewelry
                                                                     Hus livestock
 -40                                                                 Wif livestock


 -50




 -60




INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE                                 Page 21
Conclusions--1

• Shocks appear to have differential impacts depending on
  ownership, and depending on context
• In Bangladesh:
      • women’s assets are negatively affected by illness—a really big
        hit (40% of her baseline assets)
      • Joint assets are protected, men’s are affected but only to a
        limited extent
      • Illness is the shock most frequently reported by
        households=>implications for asset disposal and social
        protection?
      • Analysis for disaggregated assets indicates that there is a lot of
        movement in consumer durables, livestock, and jewelry
      • Floods have negligible impacts on assets in Bangladesh,
        possibly because emergency assistance system works

INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE                           Page 22
Conclusions--2
• In Uganda:
      • Husband’s land negatively affected by death, impact of flood
        needs to be looked into
      • Wife’s assets are negatively affected by drought, price shocks,
        and death, and to a greater degree than husband’s assets
      • Joint assets are also negatively affected by price shocks
      • Indications are that men’s assets (aside from land) are protected,
        but women’s assets and joint assets are sacrificed
• In both countries, women’s assets are a small proportion
  of household assets, but they take a big hit




INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE                         Page 23
Implications--1
• Need to devise social protection strategy to provide
  insurance against shocks
• Health insurance may help protect asset stocks (as well
  as individual health)
• Social safety nets (public works, income transfer
  programs) may help prevent asset depletion, which
  would also help protect future livelihoods
• We are now developing experiments that will look at
  men’s and women’s willingness to pay for flood
  insurance (as part of gender and climate change project)




INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE          Page 24
Implications--2
• Need to provide mechanisms for poor to save and build
  up asset stocks, and to rebuild them after shocks
• Need to provide mechanisms to prepare adequately for
  (anticipated) life-cycle events
• Women, in particular, need to be able to build up assets
  (savings?) that they can control, not only while the
  couple is together, but perhaps more importantly if the
  marriage dissolves through death or divorce




INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE           Page 25

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Mens womens assets_social protection_oct 2011_v2

  • 1. Men’s and Women’s Asset Accumulation and Implications for Social Protection: Evidence from Bangladesh and Uganda Agnes Quisumbing, Neha Kumar, and Julia Behrman International Food Policy Research Institute October 2011 Research supported by AMA-CRSP, the Swiss Development Corporation, and the World Bank Wednesday, October 19, 2011
  • 2. Assets: the wealth of families INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE
  • 3. Different assets can be held by men, women, and jointly—this varies across cultures INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE Page 3
  • 4. Presentation overview 1. Motivation: why look at differential impact of shocks on men’s, women’s, and jointly held assets? 2. Survey design and data • Bangladesh: CPRC-DATA-IFPRI long-term impact study + food price crisis survey (2006/7 and 2010) • Uganda: HarvestPlus OFSP Reaching End User Impact Evaluation survey (2007 and 2009) 3. Descriptives 4. Impacts of shocks on men’s, women’s, and joint assets 5. Implications for social protection INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE Page 4
  • 5. Motivation: why look at gender-differentiated asset accumulation? • Accumulating evidence rejecting unitary model of the household in many countries—resources are not pooled within the household • Growing evidence that risk is not pooled within households and that risk perceptions may also differ between men and women • Anthropological evidence (Thailand, Indonesia, Bangladesh) suggests that men and women have different asset accumulation strategies, and use their assets in different ways to cope with shocks • If this is true, how do we help women, men, and their families protect their livelihoods in the face of adverse events? INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE Page 5
  • 6. Research questions • Is the impact of negative events and processes (flood shocks, dowries, illness, death) different on husband-, wife- and jointly-owned assets? Are these mitigated by positive events? • Do these impacts differ depending on country and context? • …And a policy-related question • What are the implications for the design of social protection systems? INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE Page 6
  • 7. Survey design and data INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE Page 7
  • 8. Bangladesh: Map of study sites of longitudinal study 2006/7 and 2010 Page 8
  • 9. Uganda: Map of study sites of OFSP REU impact evaluation 2007 and 2009 N rt TI L. Kyoga be O R Al SO KUMI L. BUKEDEA LUWEERO KAMULI Ú Ê Ú Ê Mbale KampalaÊ Ú Ê Ú Ê Ú Ê MU Ú KAYUNGA KO L. George Jinja N O LEGEND L. Edward L. Victoria Ú Ê Major Towns Non-OFSP Areas Implementation Areas 50 0 50 Kilometers Page 9
  • 10. In both countries • Surveys conducted with baseline in 2007 and follow-up after the food price crisis • Detailed gender disaggregated data (in Uganda, baseline gender disaggregation collected retrospectively) • Ownership categories: joint, husband, wife assets • Analysis limited to intact, monogamous couples (couples that stayed together between 2007 and 2009/10, excluding polygamous households) INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE Page 10
  • 11. Assets have grown over time, but there are clear gender differences in asset ownership Bangladesh Uganda Total value of assets by ownership status, in '000 taka (2007 values) Total Value of Assets by ownership 70 status in '000 UGS (2007 values) 7000 60 6000 50 5000 40 4000 30 3000 2007 2007 20 2010 2000 2009 1000 10 0 0 Total value Total value Total value Total value Total value of Jointly owned Nonland Nonland of of assets of assets of assets nonland nonland assets assets household jointly owned by owned by assets owned assets exclusively exclusively assets owned by husband wife by the owned by the owned by the husband household husband wife and wife
  • 12. Different types of assets are held individually and jointly in Bangladesh—joint assets dominate, except for land Ownership shares by type of asset, 2010 100% 90% 16 80% 39 49 70% 58 57 62 60% 50% 83 40% 10 30% 59 42 20% 36 41 33 10% 9 0% 1 2 1 2 Land Consumption Agricultural Nonag Jewelry Livestock durables durables durables Wife Husband Joint INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE Page 12
  • 13. In Uganda, joint assets are less important than husband’s assets across most categories Ownership Shares by type of Asset, 2009 100% 90% 0.16 0.28 0.31 80% 0.36 0.43 70% 60% 0.43 50% 0.44 2009 Joint 40% 0.53 0.65 0.43 2009 Husband 30% 2009 Wife 20% 0.41 0.25 10% 0.11 0.14 0.07 0% Consumer Land Livestock Productive Cash durables equipment savings INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE Page 13
  • 14. Floods and droughts INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE Page 14
  • 15. Bangladesh: Negative shocks and positive events Proportion of households reporting shocks and positive events 50.00 45.00 40.00 35.00 30.00 25.00 20.00 15.00 Type of shock 10.00 5.00 0.00 INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE
  • 16. Uganda: Negative shocks and positive events Percentage of households affected by shocks, 2007-09 1.00 0.90 0.80 0.70 0.60 0.50 0.40 0.30 0.20 0.10 0.00 INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE Page 16
  • 17. Equation to be estimated Ait-AiB= ß0 + ß1 AiB + ß2AiB2 + ß3AiB3 + ß4AiB4+ Zi(Shocks, Positive events)i + Ci(HH demographics, baseline wealth, village dummies)i + εit Dependent variable: Asset growth Regressors: Lagged assets (linear, squared, cubed, fourth) Covariate shocks (floods, drought) Idiosyncratic shocks (illness, death, dowry/wedding expenses) Positive events (remittances, inheritance, received dowry) HH demographic characteristics: age of head, age squared, hh size, proportion in age-sex categories Value of (assets) land at baseline [assets in land equation; land in assets equation) Location dummies INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE Page 17
  • 18. What is the impact of shocks? • Look at the coefficients on shocks from Zi(Shocks, Positive events)I • Depending on specification, this is the change (or percentage change) in assets as a result of the shock • We obtain this separately for men’s, women’s, and joint assets, and for different types of shocks INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE Page 18
  • 19. Change in asset as a proportion of baseline holdings, Bangladesh 0 Flood Drought Price shock Illness Death -5 -10 -15 -20 Hus Land Hus Assets -25 Wife Assets -30 -35 -40 -45 INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE Page 19
  • 20. Change in asset as a proportion of baseline holdings, Uganda 40 20 0 Flood Drought Price Shock Illness Death -20 -40 Joint Assets Hus Land -60 Wife Assets -80 -100 -120 -140 INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE Page 20
  • 21. Consumer goods, livestock and jewelry: where the action is in Bangladesh 0 Flood Drought Price shock Illness Death -10 -20 Hus consumer Jt jewel Hus jewelry -30 Wif jewelry Hus livestock -40 Wif livestock -50 -60 INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE Page 21
  • 22. Conclusions--1 • Shocks appear to have differential impacts depending on ownership, and depending on context • In Bangladesh: • women’s assets are negatively affected by illness—a really big hit (40% of her baseline assets) • Joint assets are protected, men’s are affected but only to a limited extent • Illness is the shock most frequently reported by households=>implications for asset disposal and social protection? • Analysis for disaggregated assets indicates that there is a lot of movement in consumer durables, livestock, and jewelry • Floods have negligible impacts on assets in Bangladesh, possibly because emergency assistance system works INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE Page 22
  • 23. Conclusions--2 • In Uganda: • Husband’s land negatively affected by death, impact of flood needs to be looked into • Wife’s assets are negatively affected by drought, price shocks, and death, and to a greater degree than husband’s assets • Joint assets are also negatively affected by price shocks • Indications are that men’s assets (aside from land) are protected, but women’s assets and joint assets are sacrificed • In both countries, women’s assets are a small proportion of household assets, but they take a big hit INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE Page 23
  • 24. Implications--1 • Need to devise social protection strategy to provide insurance against shocks • Health insurance may help protect asset stocks (as well as individual health) • Social safety nets (public works, income transfer programs) may help prevent asset depletion, which would also help protect future livelihoods • We are now developing experiments that will look at men’s and women’s willingness to pay for flood insurance (as part of gender and climate change project) INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE Page 24
  • 25. Implications--2 • Need to provide mechanisms for poor to save and build up asset stocks, and to rebuild them after shocks • Need to provide mechanisms to prepare adequately for (anticipated) life-cycle events • Women, in particular, need to be able to build up assets (savings?) that they can control, not only while the couple is together, but perhaps more importantly if the marriage dissolves through death or divorce INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE Page 25