Using panel data (KLIPS) we examine the relation between respondents` occupation and their fathers` occupation. We divide the urban employed into four subgroups according to their occupation: employer, self-employed, white collar worker and blue colla...
Using panel data (KLIPS) we examine the relation between respondents` occupation and their fathers` occupation. We divide the urban employed into four subgroups according to their occupation: employer, self-employed, white collar worker and blue collar worker. We find that the effects of fathers` occupation on respondents` occupation are mediated by the level of respondents` education. The effects of respondents` initial occupation on their current occupation are also significant. In terms of the extent of mobility, we can rank the occupational groups as follows: employer, upper layer of self-employed, white collar worker, lower layer of self-employed and blue collar. In order to encourage occupational mobility, we should level the opportunity of education among different occupational groups.