Audibert, Mathonnat et al. That is, poverty implies poor health because of a low investment in health, a bad environment and sanitation and other living conditions due to poverty, a poor nutrition thus a greater risk of illness , a limited access to, and use of, health care, a lower health education and investment in health, etc2. As said above, the major goal in conducting this thesis research is to analyze inequality in health status, health care and health-related services using DHS data. Especially in our case, the DHS datasets do not have income nor consumption information. We find, among others, that mother? Graphically, we can lay these simple relationships as: However, this is justified, due to its purpose.
Monday, January 26, – 4: The Purpose of the Study. Strategy, Methods and Structure. This is vital for the health of the population and for the development of Africa. We show that changes in the composition and the size of households put an extra-pressure on the development process. While the definition of health is not obvious, we propose to measure it with child mortality rates.
The use of the assets index information is to see how these quintiles behave in a dissertatioj regression framework of child mortality i. Empirically, one of the major achievements of these last two decades in developing countries is the improvement in health status of populations notably the drop in mortality rates and higher life expectations following periods of sustained economic growth.
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While the definition of health is not obvious, we propose to measure it with child mortality rates. The Purpose of the Study.
The question arose then how to use these assets to characterize linsatbilité poor in this context? Much of the motivation for this work on the gradient approach to health inequality arises out of fundamental concerns over social and economic justice.
Measuring wealth-related inequality in health implies in the first stage defining and characterizing the poor. Therefore, economists tend to rely more on other indicators to compensate for the absence of monetary measures. No paper to our knowledge used the totally to-date freely available DHS datasets to study croissnce and inequality topics and provide basic statistics. Indeed, as the majority of developing countries are engaged more and more in fighting poverty, inequality and deprivation, more and more information on the state of poverty13 is needed.
For a long time, economists have eluded the question. Its negligence could lead to underestimating poverty measures both material and monetary by underestimating real economic growth rates. Therefore, two different measures of welfare could yield opposite results and messages in terms of policies to implement to combat poverty.
In the first part of our dissertation, we start by providing a theoretical framework to find a proxy for wellbeing, in the case where consumption or income-related data are missing, namely by discussing the use of assets as such a proxy.
The important thing to bear in mind is that, once it is obtained, it could be used to rank the observational units by wealth or welfare level. We show that the assets index could be used and yields the same consistent results as using other welfare variable such as income, consumption or expenditure.
Results show that, while almost all countries have made great efforts in improving coverage in, and access to, these indicators, almost all the gains have been captured by the better-offs of the society, especially in SSA. Since, many other economists have followed in their footsteps which we label in our dissertation, the?
How to weight each of them? This requires us to explore the different paths it took based on the assumption that the social and solidarity economy does not only have a history, but also is a history in the sense that disxertation spawned from group dynamics, speeches, and institutionalizations. La DIES, une administration de mission: It then split into to branches: Donc dans la mesure du possible, il conviendrait de se pencher sur la question du choix de l’indicateur.
We show that the index shares basically the same properties with monetary metrics and roughly scales households in the same way as does the consumption or income variables. Dd, lack of income and the poverty state it implies leads unambiguously to poor health. Moreover, the method we use not only allows observing changes over time for each country, but also provides a natural ranking among countries from the poorest to the richest.
Indeed, if monetary measures remain the reference, then our assets index should share some common properties with them.
Les facteurs qui expliquent notamment cette performance sont: African Governments should continue to favour access of the poor to health care and reverse the inequality trends in access to water, sanitation and electricity.
If in almost all these countries, many household surveys have been implemented to collect information on socioeconomic indicators, the major indicator that is needed to analyze poverty namely income or consumption data is unfortunately not often collected due to various reasons time, cost, periodicity, etc. Amadou Bassirou Diallo 1 Details. Health is said dissertaton be one of the most important dimensions lla poverty and vice-versa.
Amadou Bassirou Diallo 1 Details. In this case, we mention explicitly the survey s. Though already studied in the literature, and sometimes applied on DHS or some groups of DHS datasets, our dissertation differs in its purpose and scope and its large scale.
It uses the factor analysis FA method of Chapter 1 to rank household according to their economic gradient status19 and then studies inequalities in various health indicators in relation with these groups.