Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/193392 
Year of Publication: 
2019
Series/Report no.: 
IZA Discussion Papers No. 12098
Publisher: 
Institute of Labor Economics (IZA), Bonn
Abstract: 
Numerous studies conclude that ethnic/cultural/racial diversity has negative impacts on interpersonal trust and support for redistributive social programs. Although some Canadian public opinion data is consistent with this view, whether these impacts on public opinion are important enough to influence policy is unclear. Many scholars argue that Canada is an exception to experience elsewhere. This paper examines this question for the case of Canadian social assistance (welfare) policies - a central component of the social safety net. We exploit two salient features of recent Canadian experience. One is dramatic growth in the ethnic and cultural diversity of Canada's immigrant inflows in recent decades, but the extent of this growth has varied substantially across regions. The second is that welfare policies vary across provinces, and the ability of the provinces to employ different approaches to welfare programs has increased since the mid-1990s. We thus examine whether provinces that became more diverse reduced the generosity of their welfare programs, relative to provinces that experienced little change in the heterogeneity of their populations. We examine impacts of immigration on welfare benefit rates of four family types: single employables, single disabled, lone parents and couples with children. Our main finding is that there is limited evidence of increased immigration on any of these types other than families with children. Even in this case the estimated effects are small. Our study thus supports the view that Canada's experience stands as an example in which greater diversity has not reduced support for redistributive social programs.
Subjects: 
redistribution
social assistance
welfare
immigration
multiculturalism
ethnic diversity
interpersonal trust
JEL: 
H0
I3
J6
Document Type: 
Working Paper

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