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8/14/2019 Economic Assimilation of Immigrants to Canada over the 20th Century
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Economic Assimilation of Immigrants
to Canada over the 20thCentury
May 1, 2013
Submitted to: Ben Sand
Empirical Labour Economics
ECON 5620
Submitted by: Marshall Boyd
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1. IntroductionImmigration has played always played an important role in Canadas history. Canadian
governments have always encouraged immigration as a way to bolster the population. For much
of the twentieth century immigration has been an important factor in Canadas labour policy and
starting in the mid-1960s Canada adopted an objective points system designed to bring in more
skilled immigrants and tailor immigration to the labour needs of the economy. The question of
how well do immigrants perform in the labour force compared to native workers has been a
question of much interest in both Canada and the United States. Over the past three decades
there has been much work trying to answer this question.
Chiswick (1978) began research into the earnings and labour market assimilation of
immigrants using the 1970 census to examine the effects on white, male immigrants in the
United States. His research supported his hypothesis that initial earnings of immigrants would
be less than native workers because skills are not perfectly mobile across countries. The returns
to immigration are expected to be higher for those that have unobservable skills, ability,
intelligence, or chutzpa; immigrants possessing these skills are expected to self-select for
immigration and have higher returns than native workers holding all other observable
characteristics. For this reason, over time, as skills are gained the immigrant is expected to earn
more quickly and catch up or surpass the earnings of native workers. Chiswick found that the
crossover period, when immigrants began to earn more than native workers, was between 10-15
years after immigration. This crossover effect is expected to be weaker if the self-selection is
weaker, such as when immigration is due to refugee status or for family reunification.
Borjas (1985) questions these results by examining the earnings of immigrants across
both the 1970 and 1980 census. The main critique by Borjas is that the estimate of the effect of
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years since immigration on earnings is biased by the changing quality of immigrants. Over time,
if immigrants are not doing as well in the United States they can emigrate back to the country of
origin where they will presumably perform better. This will improve the overall quality of
earlier immigration cohorts as they self-select to stay or re-migrate based on labour market
performance. A second bias can result from assuming that each cohort has the same quality of
immigrants to begin with. This may not be true depending on changing immigration policies or
political disturbances around the world. These critiques are addressed by splitting immigrants
into cohorts based on the period of immigration and measuring the cohort effect across time by
using the two censuses as semi-longitudinal data.
By looking at cohorts across time, Borjas finds that the earnings growth of immigrants is
greatly exaggerated by cross-sectional studies of immigrant earnings. The total growth of
earnings is much slower and the growth of immigrants earnings compared to native workers is
even lower and sometimes negative. This means that the crossover period will be much longer
than 10-15 years if it occurs at all.
This result is found to hold for Canada, as well, through the 1971, 1981, and 1986
censuses (Bloom, Genier, and Gunderson, 1995). Using the same empirical method as Borjas
(1985) to create semi-longitudinal data from multiple censuses, Bloom et al. find that the entry
level earnings and the rate of labour market assimilation of immigrants has eroded over time.
Earlier immigrants to Canada experience faster and more complete assimilation while more
recent immigrants start in a worse position and are unlikely to ever reach complete assimilation
in the labour market.
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These findings are supported by Baker and Benjamin (1994) who also use the 1971,
1981, and 1986 Canadian censuses to examine the labour market assimilation of immigrants.
They also note that immigrants will receive lower returns to education than native workers. This
has been found previously in studies of American immigration but has been explained by the
lower skills immigrants to the USA have relative to native workers. This explanation does not
work in Canada as immigrants have, on average, more education than native workers. The
decreased returns to education will counteract any assimilation into the workforce by
immigrants, guaranteeing that they will receive lower earnings for their working life.
In his 1995 paper, Borjas updates the findings of his 1985 paper by adding the 1990
census data to his analysis and finds that the trend in decreasing returns to immigrants continues
throughout the 1980s. Each successive cohort of immigrants starts off in a worse position and
improves less over time. In 1970 the average immigrant earned 1% more than a native worker
by 1980 this had become nearly 10% less and in 1990 16.5% less. Further, it is unlikely that
immigrant cohorts will ever reach parity with native workers and will spend most of their
working life earning 15-20% less than native counterparts (Borjas, 1995).
Grant (1999) uses the 1981, 1986, and 1991 Canadian censuses to look at continuing
trends in immigrant assimilation. She finds that immigrants in the 1980s experienced far higher
assimilation than earlier immigrants. She also found that immigrants in the later 1980s had
similar entry earnings to those in the later 1980s suggesting that the downward trend of entry
earnings may be ending.
In this paper I will be using the 1971, 1981, 1986, 1991, 1996, and 2001 Canadian
censuses to look at the assimilation of immigrants to Canada over time. Most studies have
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indicated a downward trend in immigrant earnings with Grant hypothesizing that this trend
ended in the 1980s, using data after this period I will ascertain whether this trend actually ended
or if the 1980s were simply an anomalous period.
2. ModelThe basic equation that will be examined in this paper is
, = +, + (1)
Where is the log of annual earnings of cohort i in period t as found by summing
wages and self-employment earning, is a vector of observable characteristics, ,is the cohort
effect for immigration cohort i in period t, and is an error term.
Lalonde and Topel (1992) define the error term as
, = , +, + (2)
The first component, ,is the cohort effect and measures the assimilation of the cohort i
in period t. This effect varies over time as the cohort gains human capital relevant to the
Canadian labour market. ,is a coefficient that measures all the unobservable macro effects that
are occurring in the Canadian labour market that would cause a change in earnings. The final
variable is a fixed variable that represents the quality of each cohort.
Equation (1) is estimated using the pooled data from the 1971, 1981, 1986, 1991, 1996,
and 2001 Canadian censuses to act as semi-longitudinal data. In each census there is no way to
track who is being surveyed but the immigration cohort is used to simulate longitudinal
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information. The immigration cohorts are immigrants before 1946, 1946-1955, and each five
year period thereafter.
Equation (1) is estimated as:
, =, + , (3)
From this we can estimate a cross-section of growth by taking the difference of cohort i
and cohort i+k using the same average level of ,for both cohorts. In this way the difference is
limited to only the change in ,and the unobserved ,. The difference in can be netted out to
, +,under the assumption that , +, = 0and + = 0. The first assumption
is easy to make since it relates the unobserved macro effects over a period of time. These effects
will affect both cohorts, though some might argue that a cohort that has been in the country
longer will be better able to weather negative effects and take advantage of positive effects
leading to a bias in this estimate. The second assumption is harder to make as it seems unlikely
that each cohort of immigrants will all have equal quality. Borjas (1985) argues that the quality
of cohorts has decreased but we see in Grant (1999) that the level of both education and
experience has increased in recent cohorts. Either way it reveals that there is some level of bias
(probably negative for Canadian immigration) in the level of assimilation of immigrants.
A quasi-longitudinal estimate of growth can be estimated by comparing the same cohort
across censuses. Using equation (3) again we take the difference between cohort i in time t and
t+k again using the same average level of ,so that the difference is again just in and . The
difference in can again be netted out to , ,+with the assumptions , ,+ = 0and
= 0. The second assumption is easier to make since we assumed to be a fixed cohort
quality; however, over time the cohort quality could easily change as the less skilled and less
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successful immigrates migrate back to their country of origin or some other country with the
hopes of success. The first assumption is definitely not true as the unobserved macro effects on
the economy will undoubtedly be changing over time.
The difference in potential earnings using equation (3) can be decomposed following
Borjas (1985) method:
,+, = (, ,) + (, +,) (4)
The first term on the right hand side of equation (4) is the within cohort growth of
earnings of cohort i. This is the change in earnings for cohort i across two censuses. This is
what Grant (1999) refers to as the true assimilation. The second term is the across cohort
growth. This is the change in earnings of cohort i in year t-k compared to the earnings of cohort
i+k in year t; this compares the earnings of cohorts after spending the same number of years in
Canada.
3. ResultsEquation (1) is estimated controlling for the observable characteristics weeks worked in
the reference year (the year prior to the census year), hours worked in the reference week (the
week prior to being surveyed), marital status, years of schooling, experience, experience squared,
and the period of immigration into Canada. The dependent variable is found by taking the log of
earnings, wages and self-employed earnings, in the reference year.
Table 1 shows the estimated return to immigration for each immigration period. From
this table we can see that earlier immigration cohorts, those arriving before 1965 performed
much better in the Canadian labour market. We cannot see what the entry level earnings
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Table 2
Decomposed Effects of Returns to Immigration
1971/1981 1981/1986 1986/1991
Period of
Immigration
Cross-
Section
Within
Growth
Across
Growth
Cross-
Section
Within
Growth
Across
Growth
Cross-
Section
Within
Growth
Across
Growth
Pre 1946 0.064 0.017 0.048 -0.027 -0.067 0.040 -0.139 -0.079 -0.060
1946-1955 0.062 -0.021 0.082 -0.020 -0.009 -0.011 -0.003 0.033 -0.0361956-1960 0.032 0.003 0.028 0.044 0.044 0.000 -0.353 0.016 -0.368
1961-1965 0.086 -0.035 0.122 0.053 0.029 0.024 0.392 0.412 -0.020
1966-1970 0.117 -0.002 0.118 0.065 -0.021 0.086 0.095 0.073 0.022
1971-1975 - - - 0.039 -0.003 0.042 0.037 0.042 -0.005
1976-1980 - - - 0.172 -0.008 0.180 0.049 0.044 0.005
1981-1985 - - - - - - 0.151 0.167 -0.016
1986-1990 - - - - - - - - -
1991-1995 - - - - - - - - -
1991/1996 1996/2001
Cross-Section
WithinGrowth
AcrossGrowth
Cross-Section
WithinGrowth
AcrossGrowth
Pre 1946 -0.308 0.183 -0.491 0.112 0.094 0.017
1946-1955 0.392 0.352 0.040 0.086 -0.325 0.411
1956-1960 -0.002 -0.042 0.040 -0.043 -0.019 -0.0241961-1965 0.027 -0.393 0.420 0.026 0.022 0.004
1966-1970 0.052 -0.028 0.080 0.034 0.023 0.011
1971-1975 0.102 0.015 0.087 0.076 0.041 0.035
1976-1980 0.050 -0.049 0.100 0.095 0.068 0.028
1981-1985 0.108 -0.051 0.159 0.069 0.023 0.046
1986-1990 0.145 -0.008 0.153 0.075 0.062 0.013
1991-1995 - - - 0.042 0.132 -0.089
Assimilation is reported across two censuses. The change is broken down into growth within the cohort, true assimilation,
and growth in returns compared to a cohort that spent the equal number of years since migration.
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4. DiscussionThe returns to immigration seem to follow a boom and bust cycle. In some periods
immigrants experience very little or negative assimilation, the bust, and in others all immigrants
experience periods of increased assimilation. The overall assimilation rate is quite low with
gains made during a boom often being lost during a bust. The highest rates of assimilation are
for the immigrant cohort spending its first five years in Canada during a boom. The initial rate
of assimilation is quite high for those cohorts and they better weather the following bust period.
This finding of a boom and bust cycle corresponds with and ties together the findings of
both Baker and Benjamin (1994) and Grant (1999). Baker and Benjamin examined the censuses
from 1971, 1981, and 1986, all periods of a bust, and found that rates of assimilation ranged
between -3 and 3%. Along with this low rate of assimilation, they found deteriorating entry level
earnings. Grant used the 1981, 1986, and 1991, the last belonging to a boom period, censuses
and found that for the immigration cohort 1981-1985 the rate of assimilation was much higher
and that the entry level earnings of the following cohort, 1986-1990, had not fallen below the
levels of the 1981-1985 cohort. From these findings she predicted that entry level earnings had
levelled off and immigrants were beginning to perform better in the Canadian labour force.
By taking a longer view and using more recent data, I have corroborated the results from
both of these papers and found a slightly different trend. The entry level earnings of immigrants
is continuing to deteriorate but during boom periods entry level earnings will improve or remain
constant between immigration cohorts. Baker and Benjamin used data from a bust period and
found a downward trend in return to immigrants to Canada. Grant added data from a boom
period and found rightly that immigrant earnings and rate of assimilation improved over this
period. However, it didnt remain at this level; the period of 1991/1996 shows another sharp
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decline in entry level earnings and rate of assimilation. The following period, 1996/2001, was a
boom period and while the entry level earnings of immigrants improved it did not return to the
levels of the 1986/1991 boom period.
The boom and bust periods do not necessarily correspond to the macro-economic boom
and bust cycles of the economy. These booms and busts are related only to the level of earnings
of immigrants. The boom could be caused by an immigrant cohort that is more highly endowed
with some unobservable characteristic that allowed them to garner higher earnings. It could also
be some specific effect of particular periods that favours immigrants over native Canadian
workers.
Based on these findings, current immigrants to Canada can expect to spend at least 20-25
years of their working lives earning less than native Canadians. Low rates of assimilation
coupled with deteriorating entry level earnings means more recent immigrants may never reach
parity with native Canadian counterparts.
There are many potential causes to why the earnings of more recent immigrants are so far
below native Canadian workers. Since the 1960s when changes were made to the Canadian
immigration system there has been less emphasis placed on the skills immigrants have and more
emphasis placed on family reunification.1 The emphasis on skills now applied mainly to the
independent class of immigrants but not to families. By placing less emphasis on skills and more
on family reunion it could be that more recent immigrants are lacking in the unobserved
qualities, ambition, talent, etc., that allow immigrants to assimilate into the work force more
fully. The changes to immigration in the 1960s also changed the ethnic composition of
1Bloom, Grenier, and Gunderson, 4-5.
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immigrants. There were fewer immigrants from the UK and Europe and more immigrants from
Asia and Africa. Discrimination on the part of employers could be the cause that immigrants are
earning less than native Canadians. Newer immigrants could also just be placing less emphasis
themselves on earnings. The definition of success or the motivating factors for working could be
different between earlier and more recent immigrants and so the level of earnings is not as
important.
Regardless of what causes the differential in earnings, it will be interesting and important
to continue monitoring the earnings of immigrants. The immigrant population continues to rise
and is a very important piece of Canadian labour policy. If the earnings of immigrants continue
to fall in the future this key policy may be in jeopardy as immigrants will choose to live in other
countries that can offer them a better return. It is also important that as the labour market is
made up of more immigrants the decreased earnings does not have larger adverse effects on the
economy.
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