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samlet årgang - Økonomisk Institut - Københavns Universitet

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WHAT AFFECTS STUDENTS’ PERFORMANCE? 367<br />

Table 1. Results of the estimation, 1 st year courses.<br />

Variable Course Course Course Course Course Course Course<br />

111 112 114E 122E 123 131 132E<br />

Intercept term 10.61*** 8.81*** 8.17*** 9.2*** 9.17*** 9.0*** 9.8***<br />

(0.48) (0.41) (0.27) (0.50) (0.08) (0.32) (0.59)<br />

DQ – -1.83*** -2.84*** -3.57*** – -3.47*** –<br />

– (0.54) (0.66) (0.72) – (0.85) –<br />

GPA*DQ – 0.11** – 0.18*** – 0.09** –<br />

– (0.05) – (0.06) – (0.04) –<br />

MOTAVR*DQ – – 0.18*** – – 0.15** –<br />

– – (0.05) – – (0.06) –<br />

DSCAND*DQ – – – – – – –<br />

AGEADMIT -0.06*** – – – – – -0.07***<br />

(0.02) – – – – – (0.03)<br />

Number of<br />

observations 145 120 146 76 – 114 116<br />

R 2<br />

0.06*** 0.09*** 0.12*** 0.26*** – 0.17*** 0.06***<br />

Whites hetero 0.21 3.73 1.74 3.14 – 12.91 0.10<br />

p-value 0.90 0.29 0.63 0.37 – 0.04 0.95<br />

JB 3.21 0.87 0.56 0.78 – 3.45 2.98<br />

p-value<br />

Over identifying<br />

0.20 0.65 0.75 0.68 – 0.18 0.23<br />

restrictions F 1.74 0.24 0.86 0.26 – 2.03 0.25<br />

p-value 0.15 0.87 0.46 0.85 – 0.14 0.91<br />

Note: * significant at the 10% level, ** significant at the 5% level, *** significant at the 1% level. Figures<br />

in parentheses are standard errors.<br />

regressions have an explanatory power between 6% (The company in an international<br />

setting) and 39% (Business Statistics), which, as mentioned in the introduction, was<br />

expected. 19 What these numbers indicate is that the admission characteristics used can<br />

explain at most 39% of the variation in the grade in individual B.Sc.IB courses – the<br />

rest of the variation is explained by other factors that affect performance and learning<br />

in general.<br />

Focusing on which variables turn out to be significant, it is seen that whether a<br />

student has been admitted through quota-1 or quota-2 affects the grade quite a lot in<br />

courses like Microeconomics, International Business Environment, Macroeconomics,<br />

International Economics, MIS, Corporate Finance and Business Statistics. Moreover,<br />

19. In general, however, small R-square values are not unusual with this type of micro-data.

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