NATIONAL BUREAU OF ECONOMIC RESEARCH
NATIONAL BUREAU OF ECONOMIC RESEARCH

An Analysis of the Earnings of Canadian Immigrants

David E. Bloom, Morley Gunderson

NBER Working Paper No. 3035*
Issued in July 1989
NBER Program(s):   LS

This paper reports estimates of simple wage equations fit

to cross-sectional and pseudo-longitudinal data for Canadian

immigrants in the 1971 and 1981 Canadian censuses. The

estimates are used to assess (1) the usefulness of crosssectional

analyses for measuring the pace of immigrant earnings

growth, (2) the labor market implications of admissions

policies that place different weights on the work skills

possessed by prospective entrants, and (3) the relative impact

of selective outmigration and job-matching on the shape of

immigrant earnings distributions as duration of stay increases.

The estimates provide evidence of a small to moderate

assimilation effect that suggests that immigrants make up for

relatively low entry wages, although the wage catch-up is not

complete until 13 to 22 years after entry into Canada. These

results are revealed clearly in both the pseudo-longitudinal

and the cross-sectional analyses. The estimates also provide

evidence that the unobserved quality of immigrants' labor

market skills declined following changes in Canada's

immigration policies in 1974 that led to a sharp increase in

the proportion of immigrants admitted on the basis of family

ties. Finally, since there is no evidence that the variance of

immigrant earnings increases with their duration of stay in

Canada, and since there are no differential immigrant-native

changes in higher-order moments of the earnings distribution as

duration of stay increases, the results are inconclusive with

respect to the importance of selective outmigration and job

matching in the evolution of immigrant earnings distributions

over time.

*Published: With Christopher L. Cavanagh, published as "An Analysis of the Selection of Arbitrators", American Economic Review, Vol. 76, no. 3 (1986): 408-422.

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