Copy and paste the code below, or use the file export link (if available for that format).

@article{
  author = {Harttgen, Kenneth; Vollmer, Sebastian},
  title = {Inequality Decomposition without Income or Expenditure Data},
  journal = {UNDP (United Nations Development Programme)},
  year = {2011},
  location = {New York},
  URL = {},
  abstract = {Commonly available survey data for developing countries often do not include income or expenditure data. This data limitation puts severe constraints on standard poverty and inequality analyses. We provide a simple approach to simulate household income based on publicly available Demographic and Health Surveys (DHS) and macroeconomic data. We illustrate our approach with DHS data for Bolivia, Burkina Faso, Indonesia and Zambia. We calculate standard inequality measures and decompose inequality by urban/rural, sex of the household head, household size and education of the household head.}
}

AU - Harttgen, Kenneth; Vollmer, Sebastian
TI - Inequality Decomposition without Income or Expenditure Data
PT - Journal Article
DP - 2011
TA - UNDP (United Nations Development Programme)
AB - Commonly available survey data for developing countries often do not include income or expenditure data. This data limitation puts severe constraints on standard poverty and inequality analyses. We provide a simple approach to simulate household income based on publicly available Demographic and Health Surveys (DHS) and macroeconomic data. We illustrate our approach with DHS data for Bolivia, Burkina Faso, Indonesia and Zambia. We calculate standard inequality measures and decompose inequality by urban/rural, sex of the household head, household size and education of the household head.

%0 Journal Article
%A Harttgen, Kenneth; Vollmer, Sebastian
%T Inequality Decomposition without Income or Expenditure Data
%D 2011
%J UNDP (United Nations Development Programme)
%U ,
%X Commonly available survey data for developing countries often do not include income or expenditure data. This data limitation puts severe constraints on standard poverty and inequality analyses. We provide a simple approach to simulate household income based on publicly available Demographic and Health Surveys (DHS) and macroeconomic data. We illustrate our approach with DHS data for Bolivia, Burkina Faso, Indonesia and Zambia. We calculate standard inequality measures and decompose inequality by urban/rural, sex of the household head, household size and education of the household head.

TY  - JOUR
AU  - Harttgen, Kenneth; Vollmer, Sebastian
TI  - Inequality Decomposition without Income or Expenditure Data
PY  - 2011
JF  - UNDP (United Nations Development Programme)
UR  - ,
AB  - Commonly available survey data for developing countries often do not include income or expenditure data. This data limitation puts severe constraints on standard poverty and inequality analyses. We provide a simple approach to simulate household income based on publicly available Demographic and Health Surveys (DHS) and macroeconomic data. We illustrate our approach with DHS data for Bolivia, Burkina Faso, Indonesia and Zambia. We calculate standard inequality measures and decompose inequality by urban/rural, sex of the household head, household size and education of the household head.

TY  - JOUR
T1  - Inequality Decomposition without Income or Expenditure Data
AU  - Harttgen, Kenneth; Vollmer, Sebastian
PY  - 2011
JF  - UNDP (United Nations Development Programme)
UR  - ,
AB  - Commonly available survey data for developing countries often do not include income or expenditure data. This data limitation puts severe constraints on standard poverty and inequality analyses. We provide a simple approach to simulate household income based on publicly available Demographic and Health Surveys (DHS) and macroeconomic data. We illustrate our approach with DHS data for Bolivia, Burkina Faso, Indonesia and Zambia. We calculate standard inequality measures and decompose inequality by urban/rural, sex of the household head, household size and education of the household head.