Welfare Analysis and Measurement
This information is for the 2017/18 session.
Prof Stephen Jenkins OLD2.29 and Dr Berkay Ozcan OLD2.32
This course is compulsory on the MPA in Public and Social Policy. This course is available on the MPA Dual Degree (LSE and Columbia), MPA Dual Degree (LSE and Hertie), MPA Dual Degree (LSE and NUS), MPA Dual Degree (LSE and Sciences Po), MPA Dual Degree (LSE and Tokyo), MPA in European Policy-Making, MPA in International Development, MPA in Public Policy and Management, MPA in Public and Economic Policy, MPA in Social Impact, MSc in Inequalities and Social Science, MSc in International Health Policy, MSc in International Health Policy (Health Economics), MSc in Social Policy (European and Comparative Social Policy), MSc in Social Policy (Research), MSc in Social Policy (Social Policy and Planning) and Master of Public Administration. This course is available as an outside option to students on other programmes where regulations permit.
The course has no formal pre-requisites. Because much of the empirical evidence referred to in the course is quantitative in nature, a familiarity with basic statistical concepts and basic calculus is useful but not essential. (These topics are reviewed during the pre-sessional course of the MPA programme EC408.)
This course provides an introduction to the analysis and measurement of the welfare of individuals and societies, examining concepts, measurement and data, as well as providing illustrations. The aims are to provide an understanding of the main tools used to measure and monitor individuals and social welfare, and to develop skills for assessing academic research and official statistics (as produced by national or international agencies) and for undertaking one’s own analysis. The first half of the course focuses on univariate monetary measures of economic wellbeing notably 'income', and on the experience of OECD countries (especially the UK, EU, and USA), but the aim is also to place these in the context of developments based on other approaches and in other countries including middle- and low-income nations. The topics covered include measurement of inequality, poverty, and mobility; setting poverty thresholds and equivalence scales; data sources and their quality; empirical illustrations considering assessments of trends within countries, cross-national differences, and global poverty and inequality. The second half of the course broadens the perspective to consider a range of non-monetary, multidimensional, and subjective measures of welfare for individuals and societies. Examples include occupational and socio-economic status (SES), anthropometric measures, the Human Development Index and related indices of development, and measures of happiness and life satisfaction.
15 hours of lectures and 13 hours and 30 minutes of seminars in the MT. 15 hours of lectures and 15 hours of seminars in the LT. 1 hour and 30 minutes of lectures in the ST.
The course provides a reading week in Week 6 of Michaelmas and Lent Terms.
Most of the reading for the course is in journal articles. Books providing overviews include Salverda W, Nolan B, Smeeding TM (eds) The Oxford Handbook on Economic Inequality (2009); and Atkinson A and Bourguignon F (eds) Handbook of Income Distribution Volume 2 (2015) and the earlier Volume 1 (2000). A full reading list is distributed at the beginning of the course.
Exam (75%, duration: 3 hours, reading time: 10 minutes) in the main exam period.
Essay (25%, 2000 words) in the LT.
Student performance results
(2013/14 - 2015/16 combined)
|Classification||% of students|
Department: Social Policy
Total students 2016/17: 41
Average class size 2016/17: 14
Controlled access 2016/17: Yes
Lecture capture used 2016/17: Yes (MT & LT)
Value: One Unit
Personal development skills
- Team working
- Problem solving
- Application of information skills
- Application of numeracy skills
- Specialist skills
Course survey results
(2013/14 - 2015/16 combined)1 = "best" score, 5 = "worst" score
The scores below are average responses.
Response rate: 100%
Reading list (Q2.1)
Course satisfied (Q2.4)