Table 4.

Alternative specifications: age-14 test scores

Main effectEffect within student
(1)(2)
(1)Main specifications - benchmark7.894***4.562**
0.1470.107
(2)Small primary schools (single class) only6.469***3.646***
0.1760.146
(3)Randomized school within cohort-0.099-0.227
0.1300.150
(4)No prior peers in secondary school10.461**5.011***
0.4490.415
(5)Excluding specialist secondary schools7.875***4.586***
  0.1550.112
(6)Accounting for secondary-cohort subject FX7.942***4.471***
0.1460.106
Student characteristics|$\surd$|Abs
Cubic in age 11 test scores|$\surd$||$\surd$|
Primary SSC effects|$\surd$||$\surd$|
Student effects|$\surd$|
Main effectEffect within student
(1)(2)
(1)Main specifications - benchmark7.894***4.562**
0.1470.107
(2)Small primary schools (single class) only6.469***3.646***
0.1760.146
(3)Randomized school within cohort-0.099-0.227
0.1300.150
(4)No prior peers in secondary school10.461**5.011***
0.4490.415
(5)Excluding specialist secondary schools7.875***4.586***
  0.1550.112
(6)Accounting for secondary-cohort subject FX7.942***4.471***
0.1460.106
Student characteristics|$\surd$|Abs
Cubic in age 11 test scores|$\surd$||$\surd$|
Primary SSC effects|$\surd$||$\surd$|
Student effects|$\surd$|

Notes: This table is discussed in Section 5 (rows 1–4) and in Section 7.2 (rows 5 and 6). Results obtained from 12 separate regressions. Rows 1, 2, 3, 4, 6 and 9 use the main sample of 6,815,997 student-subject observations. Row 5 uses a reduced sample of 2,041,902 student-subject observations who attended primary schools with cohort sizes of less than 31. Row 7 is estimated using a sample of 452,088 student-subject observations from students who had no primary peers in secondary school. Row 8 uses a reduced sample of 6,235,806 student-subject observations from students who did not attend a secondary school classified as specialist. The dependent variable is by-cohort-by-subject percentilised KS3 test scores. Student characteristics are ethnicity, gender, and Free School Meal Eligibility (FSME). SSC effects are fixed effects for each school-by-subject-by-cohort combination. The second column presents corresponding estimates for rank effects within student only. Standard errors in italics and clustered at the secondary school level. Significance levels *** 1%,** 5%, * 10%.

Table 4.

Alternative specifications: age-14 test scores

Main effectEffect within student
(1)(2)
(1)Main specifications - benchmark7.894***4.562**
0.1470.107
(2)Small primary schools (single class) only6.469***3.646***
0.1760.146
(3)Randomized school within cohort-0.099-0.227
0.1300.150
(4)No prior peers in secondary school10.461**5.011***
0.4490.415
(5)Excluding specialist secondary schools7.875***4.586***
  0.1550.112
(6)Accounting for secondary-cohort subject FX7.942***4.471***
0.1460.106
Student characteristics|$\surd$|Abs
Cubic in age 11 test scores|$\surd$||$\surd$|
Primary SSC effects|$\surd$||$\surd$|
Student effects|$\surd$|
Main effectEffect within student
(1)(2)
(1)Main specifications - benchmark7.894***4.562**
0.1470.107
(2)Small primary schools (single class) only6.469***3.646***
0.1760.146
(3)Randomized school within cohort-0.099-0.227
0.1300.150
(4)No prior peers in secondary school10.461**5.011***
0.4490.415
(5)Excluding specialist secondary schools7.875***4.586***
  0.1550.112
(6)Accounting for secondary-cohort subject FX7.942***4.471***
0.1460.106
Student characteristics|$\surd$|Abs
Cubic in age 11 test scores|$\surd$||$\surd$|
Primary SSC effects|$\surd$||$\surd$|
Student effects|$\surd$|

Notes: This table is discussed in Section 5 (rows 1–4) and in Section 7.2 (rows 5 and 6). Results obtained from 12 separate regressions. Rows 1, 2, 3, 4, 6 and 9 use the main sample of 6,815,997 student-subject observations. Row 5 uses a reduced sample of 2,041,902 student-subject observations who attended primary schools with cohort sizes of less than 31. Row 7 is estimated using a sample of 452,088 student-subject observations from students who had no primary peers in secondary school. Row 8 uses a reduced sample of 6,235,806 student-subject observations from students who did not attend a secondary school classified as specialist. The dependent variable is by-cohort-by-subject percentilised KS3 test scores. Student characteristics are ethnicity, gender, and Free School Meal Eligibility (FSME). SSC effects are fixed effects for each school-by-subject-by-cohort combination. The second column presents corresponding estimates for rank effects within student only. Standard errors in italics and clustered at the secondary school level. Significance levels *** 1%,** 5%, * 10%.

Close
This Feature Is Available To Subscribers Only

Sign In or Create an Account

Close

This PDF is available to Subscribers Only

View Article Abstract & Purchase Options

For full access to this pdf, sign in to an existing account, or purchase an annual subscription.

Close