Analysis on Educational Level Using Multi-state Life Table Techniques: The Case of Korea
Samsik Lee · Advanced science and technology letters · 2014
The level of educational attainment, both individually and socially, has an important socio-economic and demographic impact. For example, it affects the quality of labor force, which in turn plays a decisive role in developing new technology, leading to economic growth, etc. The level of educational attainment also affects the demographic behaviors such as marriage, fertility, mortality and migration through change in socio-economic status and values, which results in change in both population size and population structure The level of educational attainment, as a kind of static indicator, is usually measured in one point of time, mostly from the population census. We can also make time-series analysis using several years of population censuses. However, the results derived from such data can reveal only the status of education in a certain time, for example the reference time of population census, for different cohorts. If we can measure the level of educational attainment throughout life course for a cohort, such data may be very useful for socio-economic and demographic polices. This paper aimed at making attempts to analyze the level of educational attainment using multi-state life table technique, which is based on Markov chain transition probabilities matrix.