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Control of Resources, Bargaining Power and the Demand of Food: Evidence from PROGRESA

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  • Denni Tommasi

Abstract

I use a structural model of households to recover how much resources each individual controls in the context of the Mexican PROGRESA program. I find that the eligibility to receive the cash transfers induces a redistribution of resources from the father to both the mother and children, although the mother is the one benefiting the most. With these information I compute individual poverty rates and quantify to what extent the program reduces within-household inequality. I also combine these measures to construct a proxy for women’s bargaining power and, using causal identification techniques, I estimate its direct effects on household demand for food. Exploiting random assignment of the cash transfers as an instrumental variable for the treatment of interest, I show that mothers having majority control of household resources relative to fathers increase food consumption as a share of the household budget by 6.5-8.3 percent. I use these estimates to argue that, by knowing (i) The distribution of pre-program resources inside the household, and (ii) How much influence each decision maker can have on the desired policy outcome, a policymaker can improve the cost-effectiveness of a cash transfer program by targeting the cash to resource shares in addition to gender.

Suggested Citation

  • Denni Tommasi, 2018. "Control of Resources, Bargaining Power and the Demand of Food: Evidence from PROGRESA," Working Papers ECARES 2018-22, ULB -- Universite Libre de Bruxelles.
  • Handle: RePEc:eca:wpaper:2013/276472
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    JEL classification:

    • D13 - Microeconomics - - Household Behavior - - - Household Production and Intrahouse Allocation
    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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