Burgess, Simon, & Briggs, Adam
School Assignment, School Choice and Social Mobility
Centre for Market & Public Organisation
Estimates the chances of poor and non-poor children getting places in good schools by analyzing the relationship between poverty, location and school assignment.
Journal Name or Institutional Affiliation:
Economics of Education Review
Vol .29, No. 4, pp. 639-649
- Children from poor families are 16.5 percentage points less likely to attend a good school. This is equivalent to about half the chance of non-poor families.
- Children from poor families face a reduced chance of being assigned to a good school in large part because of where they live.
- Children from poor families do go to lower scoring schools on average. This effect is around 1.5 percentage points, around 9% of the standard error of school quality in this dataset.
- Most of the reason for poor children’s lower chances is accounted for by where they live, but not all of it.
- In a typical LEA in England a child from a poor family is half as likely to attend a good secondary school as a non-poor child.
Journal Article Historical Analysis
Choice, Poverty, SES, School Quality, Social Mobility
Method of Analysis:
Fixed Effects Regression Models
Students in UK
Unit of Analysis:
- Sample consists of 1,239,888 state secondary school students and is based upon the school they join at age 11.
- Student level data:
- Pupil Level Annual School Census (PLASC) and other components of the National Pupil
- Database (NPD) from 2002-2004
- PLASC is is a census of all children in state schools in England, taken each year in January
- Variables include gender, within-year age, ethnicity, indicator of Special Educational Needs (SEN), indicator of family poverty measured as eligibility for Free School Meals (FSM)
- School level data:
- Proportion of a school’s pupils achieving grades A to C in at least five GCSE exams at age 16
- Location and distance data:
- Uses student and school postal codes
- Matches postal codes to Mosaic classification dataset which categorizes each postcode in the UK into one of 61 different types on the basis of demographics, socio-economics and consumption, financial measures, and property characteristics and value
- Also matched postal codes to the Index of Multiple Deprivation (IMD) produced from administrative data which ranks every ward from 1 to 11 on a range of criteria (income, employment, health, education and skills, housing, and geographical access to services)
- DV: Quality of schools measured as proportion of students eligible for Free School Meals
- IV: Demographics, socio-economic measures, property characteristics