Highly educated individuals in Canada are much more Inter-provincially mobile than their less educated counterparts. For example, university graduates are roughly three times more mobile compared to high school dropouts. Moreover, the employment and unemployment rates differ across different education and age groups at provincial and national level. Given these large differences in provincial mobility and unemployment rates, it is reasonable to analyze how migration decisions of different education and age groups affected by different local market conditions. In this chapter, we address three questions related to how local market conditions affect interprovincial labor mobility. Firstly, how local market conditions affect provincial mobility
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Although there is a large literature on interprovincial mobility in Canada, but to the best of my knowledge interprovincial migration as a function of local market condition is not studied well in the Canadian context. In addition, the impact local market condition of inter-provincial mobility across different education and age groups bring a new dimension in explaining provincial labor mobility in Canada. Individual's provincial mobility differs in response to the LMC of origin and destination. In most of the previous studies considers the local market condition of the origin or destination province. In our research, we use both the local market conditions of origin and the destination province to reveal whether the probability of individual's probability of provincial move depends on LMC of the origin or destination province. In addition, we analyze whether LMC difference between the origin and destination province bring any impact to provincial mobility. In most of the studies the assignment of the LMC is the year the individual moves. In our research, we assign LMC at the beginning of frequency of mobility that means for one year frequency of mobility, we assign LMC for 1993, instead of 1994. In this case we are assuming that LMC of 1993 is more important to influence the migration decision rather than LMC of 1994. The construction of Bartik instrument as representation of local market condition also for the first time in study of Canadian labor market. Moreover, estimation of one to five year frequency of mobility also contributes to the advancement of empirical analysis of provincial mobility in Canada. SLID data has presented me with a panel data which is very rich in terms of contents with detailed information on labor and income information on individuals for six consecutive years. Despite SLID's academic appeal, it is being observed in the literature that SLID data has
Although there is a large literature on interprovincial mobility in Canada, but to the best of my knowledge interprovincial migration as a function of local market condition is not studied well in the Canadian context. In addition, the impact local market condition of inter-provincial mobility across different education and age groups bring a new dimension in explaining provincial labor mobility in Canada. Individual's provincial mobility differs in response to the LMC of origin and destination. In most of the previous studies considers the local market condition of the origin or destination province. In our research, we use both the local market conditions of origin and the destination province to reveal whether the probability of individual's probability of provincial move depends on LMC of the origin or destination province. In addition, we analyze whether LMC difference between the origin and destination province bring any impact to provincial mobility. In most of the studies the assignment of the LMC is the year the individual moves. In our research, we assign LMC at the beginning of frequency of mobility that means for one year frequency of mobility, we assign LMC for 1993, instead of 1994. In this case we are assuming that LMC of 1993 is more important to influence the migration decision rather than LMC of 1994. The construction of Bartik instrument as representation of local market condition also for the first time in study of Canadian labor market. Moreover, estimation of one to five year frequency of mobility also contributes to the advancement of empirical analysis of provincial mobility in Canada. SLID data has presented me with a panel data which is very rich in terms of contents with detailed information on labor and income information on individuals for six consecutive years. Despite SLID's academic appeal, it is being observed in the literature that SLID data has