There is nothing so bad that it can not work: a Bayesian analysis of poverty
DOI:
https://doi.org/10.17058/redes.v25i4.12685Keywords:
Poverty. Network Bayesian. Municipals.Abstract
This article aims to understand the relationships between different forms of poverty and, thus, to verify if a specific type of deprivation inhibits the individual's ability to overcome other forms of deprivation. An approach used to understand the mechanisms that govern how the relations between the levels of poverty refer to the Bayesian network. The data used refer to information on income, health, education and housing for 5,565 Brazilian municipalities between 1970 and 2010, being a source of information provided by the Brazilian Institute of Geography and Statistics. The results highlighted the existence of relations between the analyzed aspects of poverty. Direct influences of all deprivations on health conditions were observed, indicating that precarious health conditions usually arise in environments where other types of diseases arise. The education indicator reflects information on monetary deprivation, and this relationship is positive. Finally, monetary shortages are also responsible for limiting access to decent housing and a healthier living condition.Downloads
References
ADLER, Nancy E. Socioeconomic inequalities in health: no easy solution. Jama, v. 269, n. 24, p. 3140-3145, 1993.
ALKIRE, Sabina; FOSTER, James. Counting and multidimensional poverty measurement. Journal of public economics, v. 95, n. 7, p. 476-487, 2011.
ANGELL, Marcia. Privilege and health-what is the connection?. The New England journal of medicine, v. 329, n. 2, p. 126, 1993.
ATKINSON, A.; BOURGUIGNON, F.: The comparison of multidimensioned distributions of economic status. Review Economics Studies. 49, p.183–201, 1982.
BARRO, Robert J. Economic growth in a cross section of countries. National Bureau of Economic Research, 1991.
BIBI, Sami. Measuring poverty in a multidimensional perspective: A review of literature. 2005.
BLAU, David M. The effect of income on child development. Review of Economics and Statistics, v. 81, n. 2, p. 261-276, 1999.
BOEHM, T.; SCHLOTTMANN, A. M. Housing and wealth accumulation: Intergenerational impacts (Low-Income Homeownership Working Paper Series, LIHO-01.15). Cambridge, MA: Joint Center for Housing, Harvard University, 2001.
BOSSERT, Walter; CHAKRAVARTY, Satya R.; D'AMBROSIO, Conchita. Multidimensional poverty and material deprivation. 2009.
BOURGUIGNON, Francois; CHAKRAVARTY, Satya R. The measurement of multidimensional poverty. The Journal of Economic Inequality, v. 1, n. 1, p. 25-49, 2003.
BRACONI, Frank. Housing and Schooling. The Urban Prospect, v. 7, p. 1-4, 2001.
BRAMLEY, G.; KARLEY, N. Home Ownership, Poverty and Educational Achievement: Individual School and Neighbourhood Effects, paper to the Scottish Executive Education Department. Edinburgh: Centre for Research into Socially Inclusive Services, Heriot Watt University, 2005.
BUDDELMEYER, Hielke; CAI, Lixin. Interrelated dynamics of health and poverty in Australia. IZA Discussion Papers, 2009.
CAMERON, Stephen V.; HECKMAN, James J. The dynamics of educational attainment for black, hispanic, and white males. Journal of political Economy, v. 109, n. 3, p. 455-499, 2000.
CASE, Anne; DEATON, Angus. Health and wealth among the poor: India and South Africa compared. American Economic Review, p. 229-233, 2005.
CERIOLI, Andrea; ZANI, Sergio. A fuzzy approach to the measurement of poverty. In: Income and wealth distribution, inequality and poverty. Springer Berlin Heidelberg, 1990. p. 272-284.
CHAKRAVARTY, Satya; DEUTSCH, Joseph; SILBER, Jacques. On the Watts Multidimensional Poverty Index and its Decomposition. World Development 36(6): 1067-1077. 2008.
CHELI, Bruno; LEMMI, Achille. A" Totally" fuzzy and relative approach to the multidimensional analysis of poverty. ECONOMIC NOTES-SIENA-, p. 115-134, 1995
DUCLOS, J.; SAHN, D.; YOUNGER, E. Robust multidimensional poverty comparisons. Economic Journal, 116 (514): 943-968. 2006.
DUNCAN, G.; CHASE-LANSDALE, L. Wefare Reform and Child Well-being. Mimeo Northwestern University, 2000.
FEINSTEIN, Jonathan S. The relationship between socioeconomic status and health: a review of the literature. The Milbank Quarterly, p. 279-322, 1993.
FUCHS, Victor R. Reflections on the socio-economic correlates of health.Journal of health economics, v. 23, n. 4, p. 653-661, 2004.
GLEWWE, Paul; JACOBY, Hanan. Student achievement and schooling choice in low-income countries: Evidence from Ghana. Journal of Human Resources, p. 843-864, 1994.
GLIED, Sherry; LLERAS-MUNEY, Adriana. Health inequality, education and medical innovation. National Bureau of Economic Research, 2003.
GOLDMAN, Dana P.; SMITH, James P. Can patient self-management help explain the SES health gradient?. Proceedings of the National Academy of Sciences, v. 99, n. 16, p. 10929-10934, 2002.
GREEN, Richard K.; WHITE, Michelle J. Measuring the benefits of homeowning: Effects on children. Journal of Urban Economics, v. 41, n. 3, p. 441-461, 1997.
GROSSMAN, Michael. The demand for health: a theoretical and empirical investigation. NBER Books, 1972.
HAURIN, Donald R.; PARCEL, Toby L.; HAURIN, R. Jean. Does homeownership affect child outcomes?. Real Estate Economics, v. 30, n. 4, p. 635-666, 2002.
HUROWITZ, James C. Toward a social policy for health. The New England journal of medicine, v. 329, n. 2, p. 130-133, 1993.
KNOX, Virginia W.; MILLER, Cynthia; GENNETIAN, Lisa A. Reforming welfare and rewarding work: A summary of the final report on the Minnesota Family Investment Program. New York: Manpower Demonstration Research Corporation, 2000.
KOLM, S-Ch. Multidimensional egalitarianisms. Quartely Journal Economics. 91: 1 – 13, 1977.
LEVY, D.; DUNCAN, G. Using siblings to assess the effect of childhood family income on completed schooling. Joint Centre for Poverty Research Working Paper, North Western University, 2001.
MATTE, Thomas D.; JACOBS, David E. Housing and health—current issues and implications for research and programs. Journal of Urban Health, v. 77, n. 1, p. 7-25, 2000.
MAASOUMI, E. The Measurement and Decomposition of Multidimensional Inequality, Econometrica, 54, 771-779, 1986.
MAASOUMI, Esfandiar; LUGO, Maria Ana. The Information Basis of Multivariate Poverty Assessments. In Quantitative Approaches to Multidimensional Poverty Measurement, Kakwani and Silber (eds.), Palgrave Macmillan, 2008.
MANKIW, N. Gregory; ROMER, David; WEIL, David N. A contribution to the empirics of economic growth. National Bureau of Economic Research, 1992.
PSACHAROPOULOS, George.; PATRINOS, Harry A. Returns to investment in education: a further update. World Bank Policy Research Working Paper Series, Vol, 2002.
ROMER, Paul M. Endogenous technological change. Journal of political Economy, p. S71-S102, 1990.
RUGGIERI-LADERCHI, C.; SAITH, R.; STEWART, F. Does it matter that we do not agree on the definition of poverty? A comparison of four approaches. Oxford Development Studies, 31, 243–274. 2003.
SAEGERT, Susan C. et al. Healthy housing: a structured review of published evaluations of US interventions to improve health by modifying housing in the United States, 1990-2001. American Journal of Public Health, v. 93, n. 9, p. 1471-1477, 2003.
SÁNCHEZ, Marco V.; SBRANA, Giacomo. Determinants of education attainment and development goals in Yemen. Prepared for the Project Assessing Development Strategies to achieve the Millennium Development Goals in the Arab Region, UNDP-RBAS, UN-DESA and World Bank [downloadable from: http://www.un.org/en/development/desa/policy/capacity/yemen.shtml], 2009.
SANTOS, Anderson Moreira Aristides dos; JACINTO, Paulo de Andrade; TEJADA, Cesar Augusto Oviedo. Causalidade entre renda e saúde: uma análise através da abordagem de dados em painel com os estados do Brasil. Estudos Econômicos (São Paulo), v. 42, n. 2, p. 229-261, 2012.
SCHULTZ, T. Paul. Accounting for public expenditures on education: an international panel study. 1995.
SEN, Amartya K. Poverty: An ordinal approach to measurement. Econometrica. 44 (2): 219-231. 1976.
SHASHIDHAR, Saraswati; RAO, Chandrika; HEGDE, Radhakrishna. Factors affecting scholastic performances of adolescents. The Indian Journal of Pediatrics, v. 76, n. 5, p. 495-499, 2009.
SMITH, James P. Healthy bodies and thick wallets: the dual relation between health and economic status. The journal of economic perspectives: a journal of the American Economic Association, v. 13, n. 2, p. 144, 1999.
SOARES, R. R. The effect of longevity on schooling and fertility: evidence from the Brazilian Demographic and Health Survey. Journal of Population Economics, v.19, n.1, p. 71-97, n.1, 2006.
TILAK, Jandhyala BG. Post-elementary education, poverty and development in India y Role of post-basic education in alleviation of poverty and development.Centre of African Studies, University of Edinburgh. Disponível em : www.cas.ed.ac.uk/research/projects. html# pubs [02/05/2007], 2005.
TSUI, Kai-yuen. Multidimensional Generalizations of the Relative and Absolute Indices: the Atkinson-Kolm-Sen Approach. Journal of Economic Theory, (1995), 67, 251-265, 1995.
TSUI, Kai-yuen. Multidimensional poverty indices. Social Choice and Welfare, v. 19, n. 1, p. 69-93, 2002.
VANDIVERE, S.; HAIR, E. C.; THEOKAS, C.; CLEVELAND, K.; MCNAMARA, M.; ATIENZA, A. How housing affects child well-being. Funders' Network for Smart Growth and Livable Communities, 2006.
WILSON, Kathryn. The determinants of educational attainment: Modeling and estimating the human capital model and education production functions. Southern Economic Journal, p. 518-551, 2001.
