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Husbands, Wives and the Peculiar Economics of Household Public Goods

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Abstract

Understanding how household income is allocated among different types of expenditures is of the utmost importance when considering policy targeted at increasing household well-being. This analysis uses the collective household model to determine how household public goods and household public bads are chosen in light of the relative power balance between husband and wife. This article shows both theoretically and empirically that the effect of additional female power on household outcomes depends on the initial level of female power. Moreover, contrary to previous findings, it need not always be positive. The policy implications of this non-monotonic relationship between female decision-making power and household well-being outcomes are important. The effectiveness of aid to households depends not only on current expenditure levels but also on household balance of power. More specifically, there may be situations where enhancing female power (more controversially, and the article shows this theoretically and empirically) may not be good for household well-being.

Comprendre comment les revenus des ménages sont répartis en différentes catégories de dépenses est essentiel dès lors que l’on envisage une politique destinée à améliorer le bien-être des ménages. Cette analyse utilise le modèle collectif de comportement des ménages afin de déterminer comment s’effectuent les arbitrages entre les biens publics et les maux publics des ménages compte tenu de l’équilibre relatif des pouvoirs entre conjoints. Nous montrons théoriquement et empiriquement que l’effet du gain de pouvoir des femmes sur les résultats des ménages dépend de leur niveau de pouvoir initial. Et, contrairement à ce qu’ont montré des études précédentes, il n’est pas toujours nécessaire que cet effet soit positif. Les implications en matière de politiques de cette relation non monotone entre le pouvoir décisionnel des femmes et les résultats par rapport au bien-être des ménages sont importantes. L’efficacité de l’aide aux ménages dépend non seulement des niveaux de dépenses actuels, mais aussi de l’équilibre des pouvoirs dans les ménages. Plus précisément, il y a des situations où l’augmentation du pouvoir des femmes peut ne pas être bonne pour le bien-être des ménages (ce qui est matière à controverse, mais l’article le montre théoriquement et empiriquement).

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Notes

  1. In this framework, θ ∈[0,1], but the results hold for θ outside this range by simply allowing observable female power (θ̂) to be a positive and monotonic transformation of actual female power, θ̂=h(θ).

  2. Let y be the amount of money spent on curbing the public bad. Hence, m=m(y). Clearly, m′(y)<0. For simplicity, assume m=y, so y represents the dollars spent on mitigating the HPB.

  3. Proof of this theorem and the following two corollaries are provided in the appendix.

  4. The utility from private goods is increasing at a decreasing rate in the consumption of those private goods. The positive sign on the third derivative indicates that the rate at which this increase is decreasing is growing, which means the fall in marginal utility associated with additional consumption is bigger at higher levels of consumption. Intuitively, it makes sense that as you have more and more of a particular good, not only does the marginal utility you gain from each additional unit decline but this happens at a faster rate.

  5. In these data, there is no measurement of the consumption of pure HPBs, so the empirical analysis focuses on the demand for HPGs.

  6. The control variables include per capita monthly household expenditure, average education and age of the primary decision-making agents, the location of the household, size of the household and the proportion of individuals in various demographic subgroups. See Hoddinott and Haddad (1995) for a discussion about the rationale for and effects of each control.

  7. Anderson and Eswaran (2009) find that income earned outside the home has the largest positive effect on female autonomy.

  8. These are typically corrected for with the use of an instrumental variable, where exogenous variables such as stature, dowry or a two-stage least squares method is used to instrument for power. These variables, common to typical developing country household surveys, are not present in the Bulgarian LSMS data set.

  9. The correlation between female years of education and male years of education in Bulgarian households where there are two decision-making agents present is 0.74.

  10. Households where there are two decision-making agents and one that does not work are excluded because power in the decision-making process is fundamentally different (and is possibly derived from specialization in household production rather than relative income).

  11. The regression results for food and children's clothing do not exhibit the predicted inverted U-shaped relationship. For food, this is likely because this budget share category actually represents a conglomeration of individually consumed goods rather than a true HPG. That is, it does not distinguish between foods the man enjoys, foods the woman enjoys and those that the children enjoy (the last theoretically being an HPG). In the case of children's clothing, which is theoretically an HPG, perhaps there is some cultural reason that men and women care differently about this type of expenditure. If that is the case then the relationship is driven by preference differences rather than household bargaining.

  12. The results for the female power effects are the same in sign, magnitude and significance with one exception. The first-order effect of female power on the budget share for children's clothing is insignificant when per capita monthly expenditures squared is included in the specification.

  13. Higher-order terms for female power were included in regressions not reported here. The effects of female power were insignificant in all regressions where terms of order higher than female income share-cubed were included.

  14. A Chow Test indicates that only for alcohol and tobacco are the sub-samples of men and women statistically different in their expenditures. There is no statistically significant difference in expenditures on the HPGs.

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Acknowledgements

For comments I am grateful to Kaushik Basu, Chris Barrett, Lisa Barrow, Anna Paulson and the participants of the Micro Research Seminar Series, Federal Reserve Bank of Chicago, the Cornell Development Seminar, the New England Universities Development Conference at Brown University, the Midwest, Southwestern and Midwest Economic Association meetings and the Growth and Development Conference at the Indian Statistical Institute.

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Appendix

Appendix

Proofs

Proof of Theorem 1

  • The first-order conditions of this household's maximization problem are:

Recall that the optimal levels of each good are functions of θx i *(θ), ∀i∈{1,2}, n*(θ) and m*(θ). Before we differentiate with respect to θ, to determine how the balance of household power affects the consumption of the HPG and the HPB, let us simplify the above system to make the calculations easier. Combining (A.1) with (A.2) and (A.1) with (A.3) yields (A.4) and (A.5), respectively.

Hence, differentiating (A.1), (A.4) and (A.5) with respect to θ yields the following system of equations (in matrix notation):

where x2=wx1n−($hskip0.8ptoverline{hskip-0.8ptM}$−m) from the budget constraint.

If we apply Cramer's Rule to solve for ∂n*/∂θ and ∂m*/∂θ and simplify, we get:

As b(·) and φ(·) are both strictly concave and c(·) is strictly convex, the denominator, ∣H∣, is always positive. The sign of the numerators are therefore the respective signs of the comparative statics, ∂n*/∂θ and ∂m*/∂θ . These depend on θ and γ.

As b′′(·)<0, c′′(·)>0 the sign of ∂n*/∂θ is the same as the sign of X and the sign of ∂m*/∂θ has the sign opposite of X. Where X is defined as:

Now we can show that there exists a point at which X>0 for all θ less than some θ̄ and X<0 for all θ greater than some θ̄.

From (A.9), we know that X=0 when . And this implies for all θ>θ̄, by the fact that as θ increases so does the consumption of x1 from (A.3) and φ′>0, φ′′<0, φ′′′>0. Which means that X<0 for all θ>θ̄. And the opposite is true when θ<θ̄.

This means that ∂n*/∂θ >0 and ∂m*/∂θ <0 when θ<θ̄ and ∂n*/∂θ <0 and ∂m*/∂θ >0 when θ>θ̄.

Proof of Corollary 1

  • With equal concern between agents for HPGs, we know that the sign of ∂n*/∂θ is the same as the sign of (1−θ)φ′′(x2)φ′(x1)−θφ′′(x1)φ′(x2). When θ=1/2, we know that x1=x2 from (A.1). This means that (1−θ)φ′′(x2)φ′(x1)−θφ′′(x1)φ′(x2)=0 and so then does ∂n*/∂θ=0. For θ<1/2, we know that φ′(x1)>φ′(x2) by (A.1). This implies that x1<x2, which makes sense, as less female power intuitively yields less consumption of the good the female prefers. As long as φ′′′>0 then φ′′(x1)<φ′′(x2) and we know that (1−θ)φ′′(x2)φ′(x1)−θφ′′(x1)φ′(x2)>0 and ∂n*/∂θ>0. Similarly, if θ>1/2 then ∂n*/∂θ<0 under the same condition on the third-order derivative of φ. The same logic can be easily applied to ∂m*/∂θ to show if θ<1/2 then ∂m*/∂θ<0 and if θ>1/2 then ∂m*/∂θ>0.

Proof of Corollary 2

  • Consider the sign of X at θ=1/2. When household power is perfectly balanced (1−θ)φ′′(x2)φ′(x1)=θφ′′(x1)φ′(x2), hence we can rewrite Y=(1−θ)φ′′(x2)φ′(x1)[1−γ]. Because φ′>0, φ′′<0, the sign of Y is equal to the sign of Z=[γ−1]. The sign of Z is positive when γ>1, so ∂n*/∂θ>0 and ∂m*/∂θ<0 at θ=1/2 and the turning point for both functions is at θ̄>1/2 when the woman is relatively more concerned with the HPG and HPB. Similarly, when γ<1, Z<0 so ∂n*/∂θ<0 and ∂m*/∂θ>0 at θ=1/2, which makes the turning point at θ̄>1/2.

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Felkey, A. Husbands, Wives and the Peculiar Economics of Household Public Goods. Eur J Dev Res 25, 445–465 (2013). https://doi.org/10.1057/ejdr.2012.56

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