Descriptive facts Directory UMM :Data Elmu:jurnal:E:Economics of Education Review:Vol18.Issue1.Feb1999:

82 C. Lo¨fgren, H. Ohlsson Economics of Education Review 18 1999 79–88

3. Descriptive facts

Data have been collected for the 181 students who were registered in undergraduate theses courses in eco- nomics at Uppsala and Umeå during 1993. They were observed for three and a half years, which means a total of seven semesters. It is well known in Sweden that the- sis work often stretches out into at least a second sem- ester although the intention in theses courses is that the- ses should be completed within the first semester. Table 1 shows that at the end of the seventh semester, counting from when thesis work was started, the completion rate has converged to slightly less than four-fifths of the stu- dents. The completion process may vary between differ- ent groups of students. Table 1 indicates that the time to complete is longer in Umeå than in Uppsala and longer for women than for men in Uppsala. The information about these students available to us is the data recorded at the study registers maintained at the two departments. The variables extracted from these registers are the following see Table 2: characteristics of students’ background gender and age and measures of earlier educational experiences grade point average from secondary school and choice of the science study program in secondary school. 2 The students’ previous record of finishing courses in the intended time is rep- resented by the time that has elapsed since they first passed an introductory course of economics. The stu- dents’ prior knowledge of economics is represented by the share of courses in economics where the student has received the highest grade: passed with distinction. Students follow different study programs. This choice Table 1 Completion rate of students University Gender Cumulative share Share not Number of completing students 1 2 3 4 5 6 7 Uppsala women 46 67 79 80 82 82 82 18 61 men 64 74 77 80 82 83 86 14 83 total 56 71 78 80 82 83 84 16 144 Umea¨ women 14 71 79 79 86 86 86 14 14 men 9 48 61 74 78 78 78 22 23 total 11 57 68 76 81 81 81 19 37 Total women 40 68 79 80 83 83 83 17 75 men 52 68 74 78 81 82 84 16 106 total 47 68 76 79 82 82 83 17 181 2 Appendix B gives the exact definitions of the variables. might reflect important differences in students’ aptitude for thesis work. Study programs may for instance vary in the number of papers that the student has had to write prior to the undergraduate thesis. Not all students are enrolled in study programs. Some students choose not to enroll in a study program, instead choosing to apply for one course at a time. The thesis may be coauthored. Both advantages and disadvantages can be expected as a result. Having two or more more unusual authors is accompanied by the necessity of adjustment and cooperation in preparation, reading, and writing which, if not handled properly, might slow the work down. However, this potential dis- advantage might turn into an advantage if handled suc- cessfully. A likely increase in the discipline of work, as well as other benefits of collaboration, could increase the pace of writing. Undergraduate theses are written on two levels: the C- and the D-thesis. For the more advanced D-level one would expect the work to take longer but this might be balanced out by the experience D-students have from their C-thesis. In the estimations there is an indicator variable for whether the thesis is on the D-level or not. In Uppsala students may write their thesis on a special course in applied econometrics. It could be expected that, both as a result of the selection of students and of the knowledge gained in the course, these students are better prepared, at least for empirically oriented theses. A vari- able has been introduced to measure whether there is a difference in the completion process between students who started their thesis work in the spring or in the fall semester. Such a difference could result from the possi- 83 C. Lo¨fgren, H. Ohlsson Economics of Education Review 18 1999 79–88 Table 2 Arithmetic means Uppsala Umeå Both Not Pass Pass with Total Not Pass Pass with Total Total completed distinction completed distinction Background Women, 48 41 43 42 29 43 39 38 41 Age, years 26.5 25.6 24.7 25.5 27.9 27.0 26.4 26.8 25.8 Science program, 35 33 41 35 57 17 30 33 35 secondary school, Grade point average, 3.7 3.7 4.1 3.8 3.5 3.7 3.7 3.7 3.8 secondary school Study time, 3.9 2.5 2.2 2.7 2.2 2.0 2.4 2.2 2.6 economics, years High grades, 17 21 31 23 40 29 58 49 28 economics, Study programs Public administration, 26 36 19 30 14 14 22 19 28 Business economics, 35 25 30 28 29 43 44 40 30 Social science, 9 6 14 8 14 22 16 10 International 9 6 11 8 – – – – 6 economics, Other programs, 9 6 14 8 7 Single subject 13 21 14 18 43 43 13 24 19 courses, Thesis Coauthored, 17 44 60 44 29 57 41 43 D-level thesis, 35 13 14 17 29 22 19 17 Applied econometrics, 13 24 14 – – – – 11 Spring 1993, 30 32 24 30 29 29 9 16 27 Number of students 23 84 37 144 7 7 23 37 181 Number of students, 19 72 36 127 6 4 22 32 159 grade point average bility of using the summer vacation for thesis work which would shorten the time for spring students when compared to the fall students. Table 2 displays means of the variables at the two universities. The numbers are similar. According to the table it seems that higher theses grades are associated with younger students, with higher previous grades, with coauthoring, and with C-theses. One of the variables stands out more than others: Coauthors constitute a far smaller share of the students not completing their theses than of the total group of students. In Uppsala only 17 of noncompleters were coauthors while 44 of students that passed and 60 of those who passed with distinction came from this group. The pattern in Umeå is similar. 3 The students in the applied econometrics course in Uppsala also seem to come out better than other groups of students, as far as the averages in Table 2 can lead us. Data in the table must be interpreted with great caution. Specific cells in the table may represent a small number of students, particularly for the case of Umeå.

4. Econometric specification

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