The use of income information of census enumeration area as a proxy for the household income in a household survey

<p>Abstract</p> <p>Background</p> <p>Some of the Census Enumeration Areas' (CEA) information may help planning the sample of population studies but it can also be used for some analyses that require information that is more difficult to obtain at the individual or household level, such as income. This paper verifies if the income information of CEA can be used as a proxy for household income in a household survey.</p> <p>Methods</p> <p>A population-based survey conducted from January to December 2003 obtained data from a probabilistic sample of 1,734 households of Niterói, Rio de Janeiro, Brazil. Uniform semi-association models were adjusted in order to obtain information about the agreement/disagreement structure of data. The distribution of nutritional status categories of the population of Niterói according to income quintiles was performed using both CEA- and household-level income measures and then compared using Wald statistics for homogeneity. Body mass index was calculated using body mass and stature data measured in the households and then used to define nutritional status categories according to the World Health Organization. All estimates and statistics were calculated accounting for the structural information of the sample design and a significance level lower than 5% was adopted.</p> <p>Results</p> <p>The classification of households in the quintiles of household income was associated with the classification of these households in the quintiles of CEA income. The distribution of the nutritional status categories in all income quintiles did not differ significantly according to the source of income information (household or CEA) used in the definition of quintiles.</p> <p>Conclusion</p> <p>The structure of agreement/disagreement between quintiles of the household's monthly per capita income and quintiles of the head-of-household's mean nominal monthly income of the CEA, as well as the results produced by these measures when they were associated with the nutritional status of the population, showed that the CEA's income information can be used when income information at the individual or household levels is not available.</p

Agent-Based Modeling of a Non-tâtonnement Process for the Scarf Economy: The Role of Learning

In this paper, we propose a meta-learning model to hierarchically integrate individual learning and social learning schemes. This meta-learning model is incorporated into an agent-based model to show that Herbert Scarf’s famous counterexample on Walrasian stability can become stable in some cases under a non-tâtonnement process when both learning schemes are involved, a result previously obtained by Herbert Gintis. However, we find that the stability of the competitive equilibrium depends on how individuals learn—whether they are innovators (individual learners) or imitators (social learners), and their switching frequency (mobility) between the two. We show that this endogenous behavior, apart from the initial population of innovators, is mainly determined by the agents’ intensity of choice. This study grounds the Walrasian competitive equilibrium based on the view of a balanced resource allocation between exploitation and exploration. This balance, achieved through a meta-learning model, is shown to be underpinned by a behavioral/psychological characteristic

Associação entre o estado nutricional antropométrico e a situação sócio-econômica de adolescentes em Niterói, Rio de Janeiro, Brasil Association between anthropometric nutritional status and socioeconomic conditions among adolescents in Niterói, Rio de Janeiro State, Brazil

Investigou-se a relação entre o estado nutricional e a situação sócio-econômica familiar de adolescentes moradores de Niterói, Rio de Janeiro, Brasil. Os dados de 523 adolescentes, pertencentes a uma amostra probabilística de 1.734 domicílios, foram coletados entre janeiro e dezembro de 2003 e representam os 71.922 jovens residentes em Niterói. As análises incluíram a estimação de intervalos de confiança de razões de prevalência e testes de distribuições proporcionais e de independência entre classes de estado nutricional e classes de renda familiar per capita e as faixas de número de moradores do domicílio. Foi encontrada uma associação positiva significativa entre baixo peso/magreza e o número de moradores do domicílio (sexo masculino: p < 0,05; sexo feminino: p < 0,001). O número de moradores do domicílio encontra-se diretamente associado ao baixo peso/magreza em adolescentes. Foi evidenciada uma tendência positiva de aumento na proporção de adolescentes com sobrepeso/obesidade segundo os quintos de renda familiar per capita.<br>This study focused on the relationship between nutritional and socioeconomic status among adolescents in Niterói, Rio de Janeiro State, Brazil. Data from 523 adolescents living in 1,734 households were collected from January to December 2003, from a total of 71,922 adolescents living in Niterói. Subjects were selected through a probabilistic household sample. The analyses included the estimation of confidence intervals for prevalence ratios and proportional distributions and independence tests between categories of nutritional status and per capita family income and number of residents per household. There was a significant positive association between underweight/thinness and number of residents in the same household (male: p < 0.05; female: p < 0.001). Number of residents in the same household was positively associated with prevalence of underweight/thinness in adolescents. Overweight/obesity was positively associated with per capita family income