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http://landscapemodelling.net
James D.A. Millington
King’s College London
Patterns of Aspiration
Spatial agent-based simulation
of school choice policy
IGU 2013 | Leeds, UK | 01/06/13
School Choice and Admissions
 Distance-based admissions policies
 hierarchies of school popularity
 lead to the reproduction of social inequality
http://landscapemodelling.netIGU 2013 | Leeds, UK | 01/06/13
The Admissions Process
http://landscapemodelling.net
 Other boroughs account for:
 Special Educational Needs
 Medical/Social Needs
 Siblings
IGU 2013 | Leeds, UK | 01/06/13
Empirical Patterns
http://landscapemodelling.netIGU 2013 | Leeds, UK | 01/06/13
Empirical Patterns
http://landscapemodelling.net
Barking Abbey
Warren
IGU 2013 | Leeds, UK | 01/06/13
Empirical Patterns
http://landscapemodelling.net
Barking Abbey
Warren
IGU 2013 | Leeds, UK | 01/06/13
Empirical Patterns
http://landscapemodelling.netIGU 2013 | Leeds, UK | 01/06/13
Parental Aspiration
http://landscapemodelling.net
“I don’t want my kids to
work in the supermarket.
I want my sons to
become a doctor, or a
pilot or something like
that.” [p.102]
“I just want them to be
happy and enjoy their life
and obviously, yes, do
well at school but so long
as they’re happy” [p.104]
IGU 2013 | Leeds, UK | 01/06/13
Parental Aspiration
“I think [education is] reasonably important. I
wouldn’t put it up there as really top ranked just
because, you know, I think there’s more
important things in a child’s life. As long as your
child is well adjusted and doesn’t suffer in
school think, you know, the school is
appropriate” [p.105]
“Oh, the single most important thing that a
parent can give to their children in life is a first-
class education” [p.98]
http://landscapemodelling.netIGU 2013 | Leeds, UK | 01/06/13
Parental Aspiration
“My gift to my children…you could say
inheritance, what I pass on to them, is that
they’ve all achieved a university education. If
they’ve done that then I’ll feel I’ve done my bit
as a parent” [p.101]
“I’d like [my daughter] to go to university but if
she didn’t it wouldn’t be the end of the world.”
[p.104]
http://landscapemodelling.netIGU 2013 | Leeds, UK | 01/06/13
Model Structure
http://landscapemodelling.net
 Family Attributes
 Aspiration
 Child Age
 Location
 Attainment
 Strategy
 Rankings
 Catchment (schools)
 Satisfactory (schools)
 Avoided (schools)
 School Attributes
 Value-added
 Location
 GCSE score
 Available Places
 List of applicants
 List of allocated pupils
(i.e., families)
IGU 2013 | Leeds, UK | 01/06/13
Model Procedures
 Families rank schools for moving & applying
 Families can move once prior to application
 Move anywhere or only into areas with lower or
equal aspiration (location constraints)
 Schools allocate places to applicants based
on distance alone
 School value-added influences pupil
attainment
http://landscapemodelling.netIGU 2013 | Leeds, UK | 01/06/13
School Ranking Strategies
Criteria
Catchment Satisfactory Avoided
Ranking
Catchment
Satisfactory
Avoided
Other Schools
http://landscapemodelling.netIGU 2013 | Leeds, UK | 01/06/13
School Ranking Strategies
Criteria
Catchment Satisfactory Avoided
[not empty] [empty] [not empty]
Ranking
Catchment
Satisfactory
Avoided
Other Schools
http://landscapemodelling.net
1st by GCSE descending
N/A
Remove from ranking
2nd by distance ascending
IGU 2013 | Leeds, UK | 01/06/13
Model Analysis
 Reproduction of system-level patterns
 Identify necessary structures and rules
 Identify agent-level patterns
 Which agents move?
 Which agents fail to secure preferred school?
 Explore implications of policy scenarios
 Closing poor schools
 Improving school value-added
http://landscapemodelling.netIGU 2013 | Leeds, UK | 01/06/13
System-Level Analysis
 What conditions needed to reproduce
empirical system-level patterns?
 Variation in school value-added?
 Constraints on family movement?
 Examine combinations of rules
 No value-added (nVA), no location constraints (nLC)
 Value-added (VA), no location constraints (nLC)
 No value-added (nVA), location constraints (LC)
 Value-added (VA), movement constraints (LC)
http://landscapemodelling.netIGU 2013 | Leeds, UK | 01/06/13
http://landscapemodelling.net
nLC nVA nLC VA
LC nVA LC VA
IGU 2013 | Leeds, UK | 01/06/13
http://landscapemodelling.net
20 40 60 80
GCSE score
0
2
4
6
8
10
A:Pratio
20 40 60 80
GCSE score
0
2
4
6
8
10
A:Pratio
IGU 2013 | Leeds, UK | 01/06/13
http://landscapemodelling.net
A:P ratio
2 4 6 8 100
0
20
40
60
80
100
Max.Distance
A:P ratio
2 4 6 8 100
0
20
40
60
80
100
Max.Distance
IGU 2013 | Leeds, UK | 01/06/13
Parent-Level Analysis
 What are consequences of system-level
patterns at agent-level?
 ABM without agent-level analysis under-utilises
the approach
 Identification of agent-level patterns to
search for empirically
 Not predicting from past to future
 Predicting from ‘known to unknown’
http://landscapemodelling.netIGU 2013 | Leeds, UK | 01/06/13
Which parents move?
http://landscapemodelling.netIGU 2013 | Leeds, UK | 01/06/13
Which parents succeed?
http://landscapemodelling.netIGU 2013 | Leeds, UK | 01/06/13
Scenario Analysis
 Explore implications of policy scenarios
 Examine consequent patterns at system-level and
agent-level
 Closing poorest school
 Re-allocate pupils to ‘best’ school
 Re-allocate pupils to all schools
 Improving all schools’ value-added
 Implications for parent allocation strategies and
success
http://landscapemodelling.netIGU 2013 | Leeds, UK | 01/06/13
A:Pratio
GCSE score20 20 2080 80 80
0
10
Scenario: remove ‘poorest’ school
http://landscapemodelling.net
Poorest to Best Poorest to AllNo Removal
IGU 2013 | Leeds, UK | 01/06/13
Scenario: improve schools’ VA
http://landscapemodelling.netIGU 2013 | Leeds, UK | 01/06/13
Scenario: improve schools’ VA
http://landscapemodelling.netIGU 2013 | Leeds, UK | 01/06/13
Future directions
 Simulating reproduction of social inequality?
 Ethnicity?
 Religion?
 Class?
 Wealth?
 Definition of a ‘good’ school?
 GCSE score used here – but what other factors?
 ‘Gaming the system’?
 And other options (e.g., leaving state schooling)
http://landscapemodelling.net
Aspiration
IGU 2013 | Leeds, UK | 01/06/13
Summary
 ABM of school allocation policy
 Results support arguments about drivers of
empirical (system-level) patterns
 Agent-level patterns identified to explore
empirically
http://landscapemodelling.net
james.millington@kcl.ac.uk
@jamesmillington
IGU 2013 | Leeds, UK | 01/06/13

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Patterns of Aspiration: An ABM of school choice

  • 1. http://landscapemodelling.net James D.A. Millington King’s College London Patterns of Aspiration Spatial agent-based simulation of school choice policy IGU 2013 | Leeds, UK | 01/06/13
  • 2. School Choice and Admissions  Distance-based admissions policies  hierarchies of school popularity  lead to the reproduction of social inequality http://landscapemodelling.netIGU 2013 | Leeds, UK | 01/06/13
  • 3. The Admissions Process http://landscapemodelling.net  Other boroughs account for:  Special Educational Needs  Medical/Social Needs  Siblings IGU 2013 | Leeds, UK | 01/06/13
  • 8. Parental Aspiration http://landscapemodelling.net “I don’t want my kids to work in the supermarket. I want my sons to become a doctor, or a pilot or something like that.” [p.102] “I just want them to be happy and enjoy their life and obviously, yes, do well at school but so long as they’re happy” [p.104] IGU 2013 | Leeds, UK | 01/06/13
  • 9. Parental Aspiration “I think [education is] reasonably important. I wouldn’t put it up there as really top ranked just because, you know, I think there’s more important things in a child’s life. As long as your child is well adjusted and doesn’t suffer in school think, you know, the school is appropriate” [p.105] “Oh, the single most important thing that a parent can give to their children in life is a first- class education” [p.98] http://landscapemodelling.netIGU 2013 | Leeds, UK | 01/06/13
  • 10. Parental Aspiration “My gift to my children…you could say inheritance, what I pass on to them, is that they’ve all achieved a university education. If they’ve done that then I’ll feel I’ve done my bit as a parent” [p.101] “I’d like [my daughter] to go to university but if she didn’t it wouldn’t be the end of the world.” [p.104] http://landscapemodelling.netIGU 2013 | Leeds, UK | 01/06/13
  • 11. Model Structure http://landscapemodelling.net  Family Attributes  Aspiration  Child Age  Location  Attainment  Strategy  Rankings  Catchment (schools)  Satisfactory (schools)  Avoided (schools)  School Attributes  Value-added  Location  GCSE score  Available Places  List of applicants  List of allocated pupils (i.e., families) IGU 2013 | Leeds, UK | 01/06/13
  • 12. Model Procedures  Families rank schools for moving & applying  Families can move once prior to application  Move anywhere or only into areas with lower or equal aspiration (location constraints)  Schools allocate places to applicants based on distance alone  School value-added influences pupil attainment http://landscapemodelling.netIGU 2013 | Leeds, UK | 01/06/13
  • 13. School Ranking Strategies Criteria Catchment Satisfactory Avoided Ranking Catchment Satisfactory Avoided Other Schools http://landscapemodelling.netIGU 2013 | Leeds, UK | 01/06/13
  • 14. School Ranking Strategies Criteria Catchment Satisfactory Avoided [not empty] [empty] [not empty] Ranking Catchment Satisfactory Avoided Other Schools http://landscapemodelling.net 1st by GCSE descending N/A Remove from ranking 2nd by distance ascending IGU 2013 | Leeds, UK | 01/06/13
  • 15. Model Analysis  Reproduction of system-level patterns  Identify necessary structures and rules  Identify agent-level patterns  Which agents move?  Which agents fail to secure preferred school?  Explore implications of policy scenarios  Closing poor schools  Improving school value-added http://landscapemodelling.netIGU 2013 | Leeds, UK | 01/06/13
  • 16. System-Level Analysis  What conditions needed to reproduce empirical system-level patterns?  Variation in school value-added?  Constraints on family movement?  Examine combinations of rules  No value-added (nVA), no location constraints (nLC)  Value-added (VA), no location constraints (nLC)  No value-added (nVA), location constraints (LC)  Value-added (VA), movement constraints (LC) http://landscapemodelling.netIGU 2013 | Leeds, UK | 01/06/13
  • 17. http://landscapemodelling.net nLC nVA nLC VA LC nVA LC VA IGU 2013 | Leeds, UK | 01/06/13
  • 18. http://landscapemodelling.net 20 40 60 80 GCSE score 0 2 4 6 8 10 A:Pratio 20 40 60 80 GCSE score 0 2 4 6 8 10 A:Pratio IGU 2013 | Leeds, UK | 01/06/13
  • 19. http://landscapemodelling.net A:P ratio 2 4 6 8 100 0 20 40 60 80 100 Max.Distance A:P ratio 2 4 6 8 100 0 20 40 60 80 100 Max.Distance IGU 2013 | Leeds, UK | 01/06/13
  • 20. Parent-Level Analysis  What are consequences of system-level patterns at agent-level?  ABM without agent-level analysis under-utilises the approach  Identification of agent-level patterns to search for empirically  Not predicting from past to future  Predicting from ‘known to unknown’ http://landscapemodelling.netIGU 2013 | Leeds, UK | 01/06/13
  • 23. Scenario Analysis  Explore implications of policy scenarios  Examine consequent patterns at system-level and agent-level  Closing poorest school  Re-allocate pupils to ‘best’ school  Re-allocate pupils to all schools  Improving all schools’ value-added  Implications for parent allocation strategies and success http://landscapemodelling.netIGU 2013 | Leeds, UK | 01/06/13
  • 24. A:Pratio GCSE score20 20 2080 80 80 0 10 Scenario: remove ‘poorest’ school http://landscapemodelling.net Poorest to Best Poorest to AllNo Removal IGU 2013 | Leeds, UK | 01/06/13
  • 25. Scenario: improve schools’ VA http://landscapemodelling.netIGU 2013 | Leeds, UK | 01/06/13
  • 26. Scenario: improve schools’ VA http://landscapemodelling.netIGU 2013 | Leeds, UK | 01/06/13
  • 27. Future directions  Simulating reproduction of social inequality?  Ethnicity?  Religion?  Class?  Wealth?  Definition of a ‘good’ school?  GCSE score used here – but what other factors?  ‘Gaming the system’?  And other options (e.g., leaving state schooling) http://landscapemodelling.net Aspiration IGU 2013 | Leeds, UK | 01/06/13
  • 28. Summary  ABM of school allocation policy  Results support arguments about drivers of empirical (system-level) patterns  Agent-level patterns identified to explore empirically http://landscapemodelling.net james.millington@kcl.ac.uk @jamesmillington IGU 2013 | Leeds, UK | 01/06/13