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B020849 - MEASUREMENT AND CAUSES OF POVERTY
Main information
Teaching Language
Course Content
Suggested readings
Learning Objectives
Prerequisites
Teaching Methods
Further information
Type of Assessment
Course program
Sustainable Development Goals 2030
Academic Year 2021-22
Coorte 2021 - Second Cycle Degree in ECONOMICS AND DEVELOPMENT
Course year
First year - Second Semester
Belonging Department
Economics and Management (DISEI)
Course Type
Single education field course
Scientific Area
SECS-S/05 - SOCIAL STATISTICS
Credits
6
Teaching Hours
48
Teaching Term
21/02/2022 ⇒ 31/05/2022
Attendance required
No
Type of Evaluation
Final Grade
Course Content
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Course program
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Lectureship
Teaching Language
English
Course Content
The course deals with the theory and methodology aimed at measuring poverty, inequality and well-being. Particular attention is given to the construction of indicators and to present their main applications. The course also provides an introduction to regression models (cross-sectional and longitudinal) for poverty research.
Suggested readings (Search our library's catalogue)
Part I
Slides, Stata files and other materials provided during the course through the Moodle page.
For the Stata software: Ulrich Kohler and Frauke Kreuter (2013), Data Analysis Using Stata, Third edition, Stata Press.
Part II
OECD and Joint Research Centre-European Commission. (2008). Handbook on constructing composite indicators: methodology and user guide. OECD publishing. Available at: https://www.oecd.org/sdd/42495745.pdf
Haughton, J., & Khandker, S. R. (2009). Handbook on poverty+ inequality. World Bank Publications. Available at: https://sites.suffolk.edu/jonathanhaughton/handbook-on-poverty-and-inequality/
Part III
Materials will be indicated during the classes.
Slides, Stata files and other materials provided during the course through the Moodle page.
For the Stata software: Ulrich Kohler and Frauke Kreuter (2013), Data Analysis Using Stata, Third edition, Stata Press.
Part II
OECD and Joint Research Centre-European Commission. (2008). Handbook on constructing composite indicators: methodology and user guide. OECD publishing. Available at: https://www.oecd.org/sdd/42495745.pdf
Haughton, J., & Khandker, S. R. (2009). Handbook on poverty+ inequality. World Bank Publications. Available at: https://sites.suffolk.edu/jonathanhaughton/handbook-on-poverty-and-inequality/
Part III
Materials will be indicated during the classes.
Learning Objectives
The course aims at providing knowledge and competences about the methods to measure and analyze poverty and wellbeing.
Prerequisites
Knowledge of basic multivariate statistics.
Teaching Methods
Lectures, seminars and lab sessions.
Use of e-learning platform Moodle where the teaching materials will be uploaded.
Use of e-learning platform Moodle where the teaching materials will be uploaded.
Further information
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Type of Assessment
A project report based on empirical analyses in Stata and their discussion (details will be given during the course).
Oral exam (including the discussion of the project and theory questions on all topics covered during the course).
Oral exam (including the discussion of the project and theory questions on all topics covered during the course).
Course program
Part I
Data and statistical methods for examining poverty determinants.
- Types of designs and data.
- Distinguishing causality from association in poverty research.
- Cross-sectional and longitudinal data and models for studying poverty.
Part II
Composite indicators: general issues and applications to measuring poverty and wellbeing.
- Steps for constructing a composite indicator.
(Developing a theoretical framework.
Selecting variables. Imputation of missing values. Multivariate analyses. Normalisation of data. Weighting and aggregation. Robustness and sensitivity. Links to other variables. Presentation and dissemination. - Quality assessment of composite indicators. - Measures of poverty and wellbeing (economic and more general measures).
Part III
Seminars
Population and human capital measures for comparisons across countries and within societies.
Comparing human capital, development, and their correlates
Role of families in perpetuating inequality and poverty
Poverty and wellbeing in later life
overview of indicators for measuring poverty and well-being in later life
steps for constructing composite indicators with SHARE survey: frailty (well-being) and social/material deprivation (poverty)
Data and statistical methods for examining poverty determinants.
- Types of designs and data.
- Distinguishing causality from association in poverty research.
- Cross-sectional and longitudinal data and models for studying poverty.
Part II
Composite indicators: general issues and applications to measuring poverty and wellbeing.
- Steps for constructing a composite indicator.
(Developing a theoretical framework.
Selecting variables. Imputation of missing values. Multivariate analyses. Normalisation of data. Weighting and aggregation. Robustness and sensitivity. Links to other variables. Presentation and dissemination. - Quality assessment of composite indicators. - Measures of poverty and wellbeing (economic and more general measures).
Part III
Seminars
Population and human capital measures for comparisons across countries and within societies.
Comparing human capital, development, and their correlates
Role of families in perpetuating inequality and poverty
Poverty and wellbeing in later life
overview of indicators for measuring poverty and well-being in later life
steps for constructing composite indicators with SHARE survey: frailty (well-being) and social/material deprivation (poverty)