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samlet årgang - Økonomisk Institut - Københavns Universitet

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THE EFFECT OF LABOUR MARKET CONDITIONS ON HIGHER EDUCATION COMPLETION 91<br />

For the purposes of this paper, we extract and pool data for all 18-20 year-olds, who<br />

graduated from high school in each year starting from 1980 and up to and including<br />

1988. 7 These persons are followed from the year they graduate up to the last year of<br />

the sample period, 1995. An individual is considered a high school graduate if the<br />

highest degree attained in each year 1980-1988 is either a high school (gymnasium)<br />

degree, a high school equivalent degree (HF), or a degree granted from a technical<br />

high school, (HTX). Our sample size consists of 693 high school graduates.<br />

The extracted sample consists of 901 spells of higher education taken by 693 high<br />

school graduates who graduated sometime in the period 1980-1988. 8 This works out<br />

to a total of 3,064 person-year observations. Of these 901 spells which on average have<br />

a duration of 3.401 periods, 481 spells are completed by the survey end (1995) with an<br />

average duration of 3.769 periods, 158 are censored with average duration of 4.475<br />

periods and 262 are incomplete or drop-out spells with average duration of 2.076 periods.<br />

That is, on average most drop-outs occur just after around 2 years of higher study.<br />

Sample size limitations preclude disaggregation of the sample by type of program<br />

(short, medium, long) but as different programs can be expected to have different average<br />

completion times, as the next best solution, program-specific baseline hazards<br />

are allowed, that is short, medium and long programs are assumed to have different<br />

hazard shapes, although the effect of the covariates are still assumed to be the same.<br />

Covariates that are hypothesized to significantly affect durations are background<br />

variables, previous high school type and labour market variables. Among the background<br />

variables are gender, living arrangements, that is, whether the individual is<br />

cohabiting or not, and the presence of small children aged 0-2 years in the household.<br />

Information on enrolment status in the year after graduating from high school in also<br />

available, allowing a test of whether taking a sabbatical year affects time to subsequent<br />

education completion (BREAK). We also include some program-specific information,<br />

for example for whether or not the spell is the first educational program (FP) and<br />

the time in years between programs (TBP) and its square in order to capture the effect<br />

of breaks taken in between educational programs and the effect of switching programs<br />

including non-linearities. 9 Financial aid and specific institutional details of the Danish<br />

7. Note: The normal age of graduation from high school in Denmark is 19 years.<br />

8. By higher education is meant either short-cycle, medium cycle or master’s degree/Ph.D. courses, that is,<br />

ISCED levels 5-7. Short cycle courses, which are typically non-university educational courses, include<br />

courses at the middle technician’s level in areas such as food, construction, clothing, electronics, medical<br />

technology etc. Medium cycle higher-education courses (university equivalent) are qualifying courses in<br />

areas such as nursing, teaching, journalism and include bachelor level educational programs as well. Longcycle<br />

tertiary courses include traditional masters' and Ph.D. degree courses. Thus, by this definition, afterschool<br />

vocational/apprenticeship courses are not considered higher education.<br />

9. Other studies e.g. Albæk (2001) have shown a non-linear effect of time between high school and university<br />

on the probability of completing the first of studies in the economic program at the University of Copenhagen.

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