Skip to main content

Advertisement

Log in

Poverty and inequality within Brazilian households: an application of a collective consumption model

  • Published:
Empirical Economics Aims and scope Submit manuscript

Abstract

This paper provides the first empirical research on the intra-household distribution of resources and individual poverty levels in Brazil. A collective model for household behavior was estimated using cross-section microdata from the Brazilian Consumer Expenditure Survey. The findings show that the average share of household total expenditure is slightly larger for men than for women. The share of household resources accruing to children is in turn comparatively smaller. We also find that standard poverty indices overstate the incidence of child poverty. This study also provides suggestive evidence of sizeable scale economies of living together in the household which affects poverty measures. Poverty rates among adults are then smaller because parents are highly compensated by the economies of scale due to joint consumption. Our findings imply that intra-household resource allocation is crucial to the understanding of household members’ material well-being and for the design of redistributive policies.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. According to De Souza (2012, p. 7), Brazil’s GINI Index of the household per capita income has slowly decreased from 0.594 in 2001 to 0.539 in 2009 indicating a rather significant problem of income disparity. Regarding poverty, from 2004 to 2009 the share of the population with less than a minimum wage per month decreased from 71 to 58%, yet in 2009 the extremely poor accounted for 4.7% of the population and the poor came to almost 9.4% of Brazilians and people vulnerable to poverty amounted to around 44% of the total population (Osorio et al. 2011). More recent figures indicate that, in 2014, the Brazil’s GINI Index was 0.494, and the rates of extreme poverty and poverty were 2.8% and 7.3% of the population, respectively (see Brazil 2015).

  2. Traditionally, microeconomic theory considers households as single decision-making units. This so-called unitary model only considers allocation among households and disregards questions concerning individual preferences and intra-household inequalities, which may lead to wrong welfare implications (Haddad and Kanbur 1990, 1992). Unitary model has been criticized both from a theoretical and an empirical perspective by several authors who have developed alternatives termed as collective approaches to household behavior (Bourguignon and Chiappori 1992).

  3. The collective models of household consumption are those in which the household is described as a group of individuals, each of whom is characterized by particular preferences, and among whom intra-household bargaining and collective decision processes are assumed to take place (Vermeulen 2002). The only assumption about the decision process is that it is efficient. According to Xu (2007, p. 3), the collective framework explains phenomena that cannot be understood under the unitary approach and it reshapes policy instruments to make social welfare and individual development programs more efficient.

  4. As clearly explained in Bargain et al. (2014), the Rothbarth approach “… is a method that allows retrieving how household resources are allocated between parents and children. It consists in examining the extent to which the presence of children depresses the household consumption of adult-specific goods” (see, particularly, p. 262, and the references therein).

  5. See Deaton (1989, 1997), Rose (1999), and Dunbar et al. (2013) for recent discussions.

  6. Joint consumption is the shared use of commodities in multi-person households, i.e., collective enjoyment of goods, like housing, television, fridge, or utilities, which are in the nature of ‘public goods’ to the family and by which ‘scale economies’ take place. In family economics, household consumption can be divided into private or collective (public) depending on the type of good being shared among the household members. This applies to household goods such as furniture, housing, family car, home heating/cooling, etc.

  7. An indifference scale is a scalar that equates the utility of a person living alone to the utility of the same individual if he or she lived with a partner. More generally, an indifference scale represents the income adjustment applied to person when living in a multi-person household (with or without children) for her/him to reach the same indifference curve as when living alone.

  8. In the literature on equivalence scales, this restriction that resource shares are independent of expenditure is known as ‘independent of base’ (IB) scaling of consumption (Blackorby and Donaldson 1993; Lewbel 1991). IB is a function, independent of total expenditure—and, hence, of the utility level—at which it is evaluated, which scales the expenditure of each individual in the household and represents the economies from joint consumption (Lewbel and Pendakur 2008; Bargain et al. 2014).

  9. See Bargain and Donni (2012a) and Lewbel and Pendakur (2008) for recent discussions in detail on this intuition.

  10. The price elasticity \( \varepsilon_{i,n}^{k} \) is a translation function specific to good k and it is related to the differences that may exist between goods with respect to the possibility of joint consumption. Bargain and Donni (2012a, p. 797) point out that scale economies may have a wealth effect and a substitution effect represented by logsi,n and \( \varepsilon_{i,n}^{k} \), respectively. This latter effect can be positive or negative depending on the nature of good k, i.e., if good k is essentially public or private.

  11. The level of joint consumption depends on the nature of the good, i.e., if the good is completely private or if it has a public component. We assume that the proportion of goods consumed jointly within the household is constant (σ) but not the same for all household members. For example, the consumption of member i = m, w in a household with n ≥ 2 is extended by a fraction of joint consumption of the other household members:

    \( \eta_{i,n} \left( {\mathbf{z}} \right) + \sigma \cdot (1 - \eta_{i,n} \left( {\mathbf{z}} \right)) \, = \eta_{i,n} \left( {\mathbf{z}} \right)/s_{i,n} \left( {\mathbf{z}} \right),\quad {\text{where}}\,\, s_{i,n} \left( {\mathbf{z}} \right) = \, \{ 1 + \sigma \cdot [(1 - \eta_{i,n} \left( {\mathbf{z}} \right))/\eta_{i,n} \left( {\mathbf{z}} \right)]\}^{ - 1} , \)

    so, after some convenient simplifications, we have σ = [ηi,n(z)·(1 − si,n(z))]/[si,n(z)·(1 − ηi,n(z))] which is a normalized indicator of individual economies of scale for each household member that compares the level of the scale si,n(z) to the level of the corresponding share ηi,n(z).

  12. In POF of 2008–2009, children’s clothing expenditures are defined as the acquisition and rental of children’s clothing up to 14 years (IBGE 2010a).

  13. This selection can potentially distort our measures of poverty. However, we have some reasons to believe that our results will not be significantly affected. Indeed, the aggregate poverty rate at the level of our study sample using a traditional poverty line (the exact definition of which is given below) amounts to 5.7%, which is of the same order of magnitude as the poverty rate in the extended sample including all family types (8.7%). Of course, our results could still be misleading if the distribution of resources among selected households is very different compared to the rest of the population.

  14. We have decided to exclude the budget share “household operations” from the system of equations for at least two reasons. First, it is traditionally recognized in the household behavior analysis that housing expenses may be difficult to evaluate for homeowners and thus these expenditures are not well captured so they are not typically modeled (Bargain and Donni 2012a; Bargain et al. 2014). Second, we have to acknowledge that the size of the household may be highly correlated with (and thus endogenous in making) housing decisions. Moreover, these housing expenditures are usually considered long-term decisions and depend more on permanent than on annual income (Kain and Quigley 1972). However, when household economies of scale are considered, as in our analysis of individual poverty, expenditures on housing cannot be omitted at all (Bargain et al. 2014). Later in this paper, we take into account a variation of the initial model with the inclusion of household operations to see the importance of their “public good” component or their role in the economies of scale within the household and to check the robustness of our results.

  15. The model allows testing the hypothesis that preferences over consumption are stable. For this, we perform a simple Breusch–Pagan test for independent equations. The Breusch–Pagan statistic for independence, which follows a Chi-squared distribution under the null hypothesis, is about to 33,015. The null hypothesis is then rejected at the 1% level. Thus, the assumption that the parameters for singles and couples are the same seems to be a reasonable approximation.

  16. We implement a simple test for the IB restriction, following closely Menon et al. (2012, p. 741). In particular, we pool all the household sizes, which would give a test with more statistical power, and estimate coefficients from regressions of each individual resource share on a linear and quadratic models in expenditure which include a categorical variable for each household size and dummies for each federal unit of residence. The results indicate that none of the log expenditure is individually statistically significant. This suggests that the hypothesis that resource shares do not vary with expenditure is not violated in these data and thus that identification of resource shares on the basis of IB restriction is valid.

  17. The presence of child gender bias in these latter studies might be attributed to cultural aspects of such countries. On the other hand, evidence of gender discrimination among children in developing countries often pertains to long-term expenditure on children, especially ‘productive’ investments on children’s education and health (Sen 1981). However, the literature on differences in education and health expenditures is extensive and beyond the scope of our study.

  18. The per capita measures do not overstate child poverty for the case of couples with three children.

References

  • Attanasio OP, Lechene V (2014) Efficient responses to targeted cash transfers. J Polit Econ 122:178–222

    Article  Google Scholar 

  • Banks J, Blundell R, Lewbel A (1997) Quadratic engel curves and consumer demand james. Rev Econ Stat 79:527–539

    Article  Google Scholar 

  • Bargain O, Donni O (2012a) Expenditure on children: a Rothbarth-type method consistent with scale economies and parents’ bargaining. Eur Econ Rev 56:792–813

    Article  Google Scholar 

  • Bargain O, Donni O (2012b) Targeting and child poverty. Soc Choice Welf 39:783–808

    Article  Google Scholar 

  • Bargain O, Donni O, Kwenda P (2014) Intrahousehold distribution and poverty: evidence from Côte d’Ivoire. J Dev Econ 107:262–276

    Article  Google Scholar 

  • Becker GS (1965) A theory of the allocation of time. Econ J 75:493–517

    Article  Google Scholar 

  • Becker GS (1981) Altruism in the family and selfishness in the market place. Economica 48(189):1–15

    Article  Google Scholar 

  • Blackorby C, Donaldson D (1993) Adult-equivalence scales and the economic implementation of interpersonal comparisons of well-being. Soc Choice Welf 10(4):335–361

    Article  Google Scholar 

  • Blundell R, Robin JM (1999) Estimation in large and disaggregated demand systems: an estimator for conditionally linear systems. J Appl Econ 14(3):209–232

    Article  Google Scholar 

  • Bourguignon F, Chiappori P-A (1992) Collective models of household behavior: an introduction. Eur Econ Rev 36(2):355–364

    Article  Google Scholar 

  • Brazil (2015) Um país menos desigual: pobreza extrema cai a 2,8% da população. http://www.brasil.gov.br/economia-e-emprego/2015/11/um-pais-menos-desigual-pobreza-extrema-cai-a-2-8-da-populacao. Accessed 4 Apr 2016

  • Browning M, Bourguignon F, Chiappori PA, Lechene V (1994) Income and outcomes: a structural model of intrahousehold allocation. J Polit Econ 102:1067–1096

    Article  Google Scholar 

  • Browning M, Chiappori PA, Lewbel A (2013) Estimating consumption economies of scale, adult equivalence scales, and household bargaining power. Rev Econ Stud 80(2):1267–1303

    Article  Google Scholar 

  • Cherchye L, De Rock B, Lewbel A, Vermeulen F (2015) Sharing rule identification for general collective consumption models. ECTA 83(5):2001–2041

    Article  Google Scholar 

  • Chiappori PA (1988) Rational household labor supply. Econometrica 56(1):63–90

    Article  Google Scholar 

  • Chiappori PA (1992) Collective labor supply and welfare. J Polit Econ 100(3):437–467

    Article  Google Scholar 

  • Chiappori PA, Meghir C (2015) Intrahousehold inequality. In: Atkinson AB, Bourguignon F (eds) Handbook of income distribution, vol 2. Elsevier, New York, pp 1369–1418

    Google Scholar 

  • De Souza PH (2012) Poverty, inequality and social policies in Brazil, 1995–2009. International Policy Centre for Inclusive Growth (IPC-IG) Working paper series, no 87. http://www.ipc-undp.org/pub/IPCWorkingPaper87.pdf. Accessed 20 Feb 2015

  • Deaton A (1989) Looking for boy-girl discrimination in household expenditure data. World Bank Econ Rev 3(1):1–15

    Article  Google Scholar 

  • Deaton A (1997) The analysis of household surveys: a microeconometric approach to development policy. World Bank Publications and The Johns Hopkins University Press, Baltimore

    Book  Google Scholar 

  • Doss C (2013) Intrahousehold bargaining and resource allocation in developing countries. World Bank Res Obs 28(1):52–78

    Article  Google Scholar 

  • Dunbar G, Lewbel A, Pendakur K (2013) Children’s resources in collective households: identification, estimation and an application to child poverty in Malawi. Am Econ Rev 103(1):438–471

    Article  Google Scholar 

  • Gronau R (1988) Consumption technology and the intrafamily distribution of resources: adult equivalence scales reexamined. J Polit Econ 96(6):1183–1205

    Article  Google Scholar 

  • Gronau R (1991) The intrafamily allocation of goods-how to separate the adult from the child. J Labor Econ 9(3):207–235

    Article  Google Scholar 

  • Haddad L, Kanbur R (1990) How serious is the neglect of intra-household inequality? Econ J 100(402):866–881

    Article  Google Scholar 

  • Haddad L, Kanbur R (1992) Intrahousehold inequality and the theory of targeting. Eur Econ Rev 36(2):372–378

    Article  Google Scholar 

  • IBGE (2010a) Microdados da POF 2008–2009 (Pesquisa de Orçamentos Familiares). CD-Rom, IBGE, Rio de Janeiro

    Google Scholar 

  • IBGE (2010b) Despesas, Rendimentos e Condições de Vida. IBGE, Rio de Janeiro

    Google Scholar 

  • Kain JF, Quigley JM (1972) Housing market discrimination, home-ownership, and savings behavior. Am Econ Rev 62(3):263–277

    Google Scholar 

  • Kakwani N, Neri MC, Son HH (2010) Linkages between pro-poor growth, social programs and labor market: the recent Brazilian experience. World Dev 38(6):881–894

    Article  Google Scholar 

  • Lewbel A (1991) Cost of characteristics indices and household equivalence scales. Eur Econ Rev 35(6):1277–1293

    Article  Google Scholar 

  • Lewbel A (2004) Equivalence scales based on collective household models. In: Household behaviour, equivalence scales, welfare and poverty. Physica, Heidelberg, New York, pp 1–9

  • Lewbel A, Pendakur K (2008) Estimation of collective household models with Engel curves. J Econ 147:350–358

    Article  Google Scholar 

  • Lustig N, Lopez-Calva LF, Ortiz-Juarez E (2013) Declining inequality in Latin America in the 2000s: the cases of Argentina, Brazil, and Mexico. World Dev 44:129–141

    Article  Google Scholar 

  • Menon M, Pendakur K, Perali F (2012) On the expenditure-dependence of children’s resource shares. Econ Lett 117:739–742

    Article  Google Scholar 

  • Osorio RG, De Souza PH, Soares SS, De Oliveira LFB (2011) Perfil da Pobreza no Brasil e Sua Evolução no Período 2004–2009. Instituto de Pesquisa Econômica Aplicada (IPEA), no 1647. http://www.ipea.gov.br/portal/images/stories/PDFs/TDs/td_1647.pdf. Accessed 18 Feb 2015

  • Rodríguez L (2016) Intrahousehold inequalities in child rights and well-being. A barrier to progress? World Dev 83:111–134

    Article  Google Scholar 

  • Rose E (1999) Consumption smoothing and excess female mortality in rural India. Rev Econ Stat 81(1):41–49

    Article  Google Scholar 

  • Sahn DE, Younger SD (2009) Measuring intra-household health inequality: explorations using the body mass index. Health Econ 18(1):S13–S36

    Article  Google Scholar 

  • Sen A (1981) Poverty and famines: an essay on entitlement and deprivation. Clarendon Press, Oxford

  • Thomas D (1990) Intra-household resource allocation: an inferential approach. J Hum Resour 25(4):635–664

    Article  Google Scholar 

  • Thomas D, Lavy V, Strauss J (1996) Public policy and anthropometric outcomes in the Cote d’Ivoire. J Public Econ 61(2):155–192

    Article  Google Scholar 

  • Vermeulen F (2002) Collective household models: principles and main results. J Econ Surv 16(4):533–564

    Article  Google Scholar 

  • Xu ZA (2007) Survey on intra-household models and evidence. American Institute for Research (MPRA) paper, no 3763. http://mpra.ub.uni-muenchen.de/3763. Accessed 16 May 2015

Download references

Acknowledgements

The authors would like to thank the editor and anonymous referees for their helpful comments and suggestions. The author Alexandre B. Coelho gratefully acknowledges the financial support of CNPq (304763/2016-0).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Wilman J. Iglesias.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Iglesias, W.J., Coelho, A.B. Poverty and inequality within Brazilian households: an application of a collective consumption model. Empir Econ 58, 1923–1952 (2020). https://doi.org/10.1007/s00181-018-1598-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00181-018-1598-1

Keywords

JEL Classification

Navigation