Equity data analysis was through Demographic Health Surveys (DHS) data, which enabled analysis of immunization coverage and mortality according to background characteristics of populations (wealth, education, location, gender) (Macro International Inc. 2011).
For meaningful wealth status comparison between the two woredas, the average of the two woreda characteristics for wealth was taken to evaluate the livelihood condition of HHs. Figure 1 presents the wealth category of households from the study woredas.
Therefore we believe that shopping activities observed in these neighborhoods reflect to a certain extent the behavioral change of people of similar characteristics in terms of wealth and political preference.
These authors model individual occupation decisions and changes in occupation over time, taking account of individual characteristics such as wealth and wealth constraints, education levels, family background, prior work experience, preferences for independent work, and so on.
"The lopsided distribution of wealth characteristic of U.S. capitalism must be on the table in any discussion about realizing social justice including the discussion of ghetto poverty". Thad Williamson is Associate Professor of Leadership Studies and Philosophy, Politics, Economics and Law at the University of Richmond and co-editor of Property-Owning Democracy: Rawls and Beyond.
In general, t test results show that no substantial differences are found in terms of demographic characteristics, wealth, or source of information between the two categories; however, years of experience in cultivating coffee (17 years on average) are significantly longer than cocoa (9 years on average).
In the DHS data sets, data are available on the following domains of household wealth: characteristics of the dwelling (floor, walls, and roof material), availability of electricity, water and sanitation services, ownership of household durable goods, and parental education.
This data enables analysis of immunization coverage by background characteristics of socio-economic status (wealth quintiles), education level (no education, primary education, secondary or higher), gender and location (urban and rural and provincial level statistics).
Normally, each woman knows her own age, is aware of how youthful or mature she appears, knows that men prefer women of a particular age and that various characteristics of men (e.g., wealth, social status, the risk of death) are age-dependent, and she experiences indications of interest from men of a specific age.
We regressed the order of an HIV test during ANC on health systems characteristics (type of insurance and type of ANC provider), women's characteristics (age, wealth, educational attainment, month of pregnancy at first antenatal visit, HIV knowledge, urban vs. rural residence and sub-region of residence) and children's characteristics (birth order and birth year).
