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  • 标题:Impact of Canadian postsecondary education on occupational prestige of highly educated immigrants.
  • 作者:Adamuti-Trache, Maria ; Anisef, Paul ; Sweet, Robert
  • 期刊名称:Canadian Review of Sociology
  • 印刷版ISSN:1755-6171
  • 出版年度:2013
  • 期号:May
  • 语种:English
  • 出版社:Canadian Sociological Association
  • 摘要:The particular role that occupational prestige plays in the settlement success of immigrants has not been extensively examined, but preliminary work by Frank (2009) suggests its importance to their perceived success in the labor market and society. To the extent occupational prestige matters to immigrants' sense of employment success and satisfaction, it is important to examine the strategies they adopt to enhance employability and improve occupational prestige--upon (or soon after) arrival in Canada. There is evidence that when neither income nor occupational prestige is realized, many newcomers attempt to enhance existing qualifications by acquiring Canadian educational credentials: about two-thirds of newcomers to Canada in the early 2000s had plans to pursue education or training (Statistics Canada 2005). Research also shows that those most likely to use the Canadian postsecondary education (PSE) system were immigrants who already had obtained university qualifications in their countries of origin but who were unable to find work commensurate with their qualifications (Adamuti-Trache and Sweet 2010; Green and Green 1999).
  • 关键词:Career development;Education, Higher;Higher education;Immigrants

Impact of Canadian postsecondary education on occupational prestige of highly educated immigrants.


Adamuti-Trache, Maria ; Anisef, Paul ; Sweet, Robert 等


OVER THE PAST two decades, the international mobility of highly skilled workers led to large migration flows toward developed countries. To maintain rapid economic growth and ensure social equality, immigrant-receiving countries face unique challenges of integrating newcomers into their societies. Canada in particular attracted large inflows of highly educated immigrants whose economic status in the host country does not correspond to their education and premigration work experiences (Grant and Nadin 2007). Economic outcomes of highly educated immigrants to Canada are poorer than in other major immigrant-receiving countries such as the United States or Australia (Bonikowska, Hou, and Picot 2011; Hawthorne 2007). Research also shows that recent immigrants to Canada typically experience lower levels of economic success than native-born workers (Reitz 2007). Underemployment is particularly vexing to immigrant workers with high skill levels who are relegated to low-paying jobs for which they are overqualified and where their skills are either poorly utilized or mismatched (Gilmore 2009). Long periods of underemployment and a gradual devaluation of the educational qualifications and professional expertise acquired in their countries of origin effectively frustrate the occupational aspirations of many newcomers (Grant and Nadin 2007). More than 50 percent of the skilled immigrants in Grant's (2005) study who experienced problems with credentials and work experience recognition, report being disappointed, sad, hurt, frustrated, and depressed.

Much research on immigrant settlement in Canada has occurred within a human capital framework, with the earnings of immigrants being a primary focus of research (Worswick 2004). Sociologists adopt a broader approach to measuring labor market integration and develop socioeconomic scales (e.g., Blishen index) that rank occupations on the basis of education and income (Blishen and McRoberts 1976). Yet, some authors argue that jobholders' long-term economic prospects are better predicted by the social status of their occupation (Featherman and Hauser 1976). Thus, rather than using socioeconomic scales, many researchers opt for an "occupational prestige" ranking, which reflect the perceived social standing individuals assign to an occupation relative to others (Treiman 1977). While employment status and earnings are essential ingredients for settling in a new country, we contend that these indicators only partially capture the labor market experiences of large numbers of highly educated immigrants, who are determined to regain their premigration professional and social status.

The particular role that occupational prestige plays in the settlement success of immigrants has not been extensively examined, but preliminary work by Frank (2009) suggests its importance to their perceived success in the labor market and society. To the extent occupational prestige matters to immigrants' sense of employment success and satisfaction, it is important to examine the strategies they adopt to enhance employability and improve occupational prestige--upon (or soon after) arrival in Canada. There is evidence that when neither income nor occupational prestige is realized, many newcomers attempt to enhance existing qualifications by acquiring Canadian educational credentials: about two-thirds of newcomers to Canada in the early 2000s had plans to pursue education or training (Statistics Canada 2005). Research also shows that those most likely to use the Canadian postsecondary education (PSE) system were immigrants who already had obtained university qualifications in their countries of origin but who were unable to find work commensurate with their qualifications (Adamuti-Trache and Sweet 2010; Green and Green 1999).

Previous research on the relationship between educational credentials and labor market integration has typically compared PSE participants and nonparticipants. Yet, adult immigrants' strategies to gain host-country credentials involve more differentiated use of the Canadian PSE system. Highly educated immigrants choose between college and university programs and, with respect to the latter, may either enhance their existing qualifications or embark upon a new and different field of study (Adamuti-Trache 2011). The labor market consequences of different further education choices are not known, but are likely to be considerable.

This paper examines the relationship between the PSE pathway choices of recently arrived immigrants and the occupational prestige of the jobs they subsequently obtained. We employ data from the Longitudinal Survey Immigrants to Canada (LSIC) covering the period 2000 to 2004. The analysis addresses the theme of host-country human capital accumulation by raising the general research question: For highly educated immigrants who undertake additional education at a Canadian PSE institution, do different PSE pathways lead to equally successful occupational outcomes?

MAIN CONCEPTS

Immigrant Underemployment and Occupational Prestige

Many recognize that education received abroad is largely discounted in Canada (Aydemir and Skuterud 2004; Ferrer and Riddell 2008; Thompson 2000), either overtly by maintaining barriers to recognize foreign credentials, or covertly by disregarding the value of this education and its outcomes (i.e., previous work experience). Highly educated immigrants are particularly disadvantaged when the host country is not prepared to reward education with suitable employment. Thus, higher levels of education did not translate into a greater likelihood of finding employment among newly arrived immigrants.

Underemployment rates are high among immigrants. In 2008, over 42 percent of foreign born workers in comparison with 28 percent of Canadian workers were found to possess higher levels of education than their jobs required (Gilmore 2009). Despite the increasing need for skilled workers and the large pool of immigrants with qualifications and work experience in occupations that require high levels of education, recent university-educated immigrants were twice as likely as their Canadian-born counterparts to accept jobs for which they are overqualified (52 versus 28 percent) (Li et al. 2006). Grant and Nadin (2007) found that 50 percent of the skilled immigrants in their study thought it was impossible or very difficult to obtain suitable Canadian employment. Over half of those who had paid jobs felt they were overqualified for the jobs. When they described the "best job" they had since arrival, many immigrants with prior occupations in the natural or applied sciences or health were now working in social services, education, or government-related occupations, and over half of these jobs were teaching-assistant or research-assistant positions. Although very few immigrants worked in sales and services in their country of origin, after arrival in Canada, almost a quarter of immigrants found employment in these areas, documenting the difficulty of securing employment in their premigration occupations. Employers' reservation in recognizing the value of premigration credentials and work experience often leads to frustration, anger, sadness, and disappointment among skilled immigrants (Grant 2005). From their perspective, being underemployed is associated with earnings that are inconsistent with prior educational qualifications as well as a loss of occupational status.

The sociological analysis of work has long recognized the importance of "occupational prestige" in determining perceptions of labor market success. While earlier literature emphasized power and privilege as a source of occupational prestige (Treiman 1977), more recent studies reconceptualize prestige in terms of social distinction and recognition. Zhou (2005) argues that income and education capture the overt social distance and resource inequality among social groups (and only imply social status differences), whereas occupational prestige ranking follows the logic of social recognition. Goyder and Frank (2007) draw attention to the meaning of occupational status and the degree of status inconsistency in late modern society. Survey data on occupational prestige in Canada show a hierarchy in which the professions, for example, are often viewed as being more prestigious than the trades or general menial employment. As Boyd (2008) noted, since "occupations provide the institutional context within which individual human capital is exercised, accumulated, and rewarded" (p. 68), occupationally based scores capture information on "life chances" that is not revealed by current levels of education and earnings. Earnings and occupational prestige appear to tap into different dimensions of employment.

Immigrant occupational downgrading is not a phenomenon unique to Canada. McAllister (1995) explains the downgrading of job status for Australian immigrants as a disruptive effect on their working careers caused by the migration act itself rather than by economic experiences in the new country. He demonstrates that the status of current job is shaped by the first job in Australia rather than the job prior to migration. Although immigrants improve their occupational status over time, the initial disadvantage gap can rarely be closed. Valenta (2008) found that recent "immigrants who had substantial human capital, but who experienced a huge loss of status and occupational/class misplacement in Norway, belonged to a group that was especially frustrated" (p. 12). Similarly, Chiswick, Lee, and Miller (2003) examine the U-shaped pattern of immigrants' occupational attainment and note that highly educated immigrants are the most likely to see their skills devalued in the destination country. However, educated immigrants are likely to invest in future earnings potential in order to acquire destination-specific skills that may impact their occupational attainment. Likewise, foreign trained doctors in Canada "surfer from occupational downgrading or deskilling, and are often forced to switch careers and experience loss of social status" (Foster 2008:12).

Host-Country-Specific Human Capital: Direct and Indirect Benefits

The human capital model is the dominant paradigm employed in research studies seeking to understand the employment success of immigrants (Anisef et al. 2003). One of the central tenets of this theory is that investments in education bring about financial returns following entry into the labor market (Becker 1964). Accordingly, education produces skills that are needed, valued, and rewarded in the labor force. Support for human capital theory is often based on individual level data that show that those with higher levels of education generally have better labor market outcomes than those with less schooling. However, returns on education are clearly dependent on various forms of country-specific human capital (e.g., formal education, work experience) as well as acquisition of social and cultural capital through education (i.e., wider benefits of learning).

The most important country-specific human capital that is essential to the labor market position of immigrants is formal education. For many newcomers, education credentials are difficult to transfer from their home country to their destination (Statistics Canada 2005). Rather than investigating the factors that predict the likelihood of investments in host-country education, research has more often focused on the labor market outcomes of immigrants educated in the host country relative to those educated elsewhere. Findings consistently indicate more positive outcomes among immigrants who obtain education credentials in the destination country or in economically similar countries (Mata 2008; Thompson 2000). Gilmore and Le Petit (2008) examined the labor market outcomes among immigrants according to the region in which the highest level of education were attained. Among those with a university education who arrived within the preceding five years, there was substantial variation by region in which credentials were obtained. Immigrants educated in the United States, Canada, and Europe had the highest employment rates (77.8, 75.3, and 73.8 percent, respectively), yet these rates were significantly lower than those of the Canadian born (90.7 percent). On the other hand, newcomers who obtained their degrees from Asia, Latin America, and Africa had considerably lower rates of employment (65.5, 59.7, and 50.9 percent, respectively). While the employment rates of immigrants who landed more than five years earlier were considerably higher, variation by region of highest education persists, with the lowest rates observed once again for those from Asia, Africa, and Latin American countries.

Research also indicates that locally obtained schooling translates into higher wages among immigrants. In a study on immigrant men in the United States, Bratsberg and Ragan (2002) revealed that, according to the 1990 census, male immigrants with a U.S. education earn 38 percent more per week than their foreign-educated counterparts. The authors also reported that returns on premigration schooling are significantly greater for immigrants who acquire additional U.S. education than for those who do not. In fact, findings indicated that immigrants who complete their schooling in the United States receive returns to education that are comparable to those of the native-born. Furthermore, returns on postmigration schooling differed by source country in that immigrants from less developed countries receive greater rewards from U.S. schooling than do immigrants from developed countries (as measured by gross domestic product per capita). In the Canadian context, origin of foreign education contributes to earning inequalities among immigrants (Adamuti-Trache and Sweet 2005; Fong and Cao 2009). While the effect of country-specific human capital has been examined in relation to employment and earnings, only few studies have focused on occupational prestige (Frank 2009).

Participation in the host educational system implies the acquisition of both formal and informal skills that are valued in the labor market. Employers are better able to assess the value of locally obtained credentials and may be more inclined to trust their legitimacy; thus, immigrants who have made investments in country-specific education are more likely to possess the human, social, and cultural capital required to succeed in the host economy (Duvander 2001).

In the process of obtaining host-country education credentials, adult immigrants gain other country-specific skills that are useful in the host labor market. While pursuing further education and training, immigrants have opportunities to interact with native-born students and faculty and gain familiarity with the host society, which may not come so easily to newcomers who do hot attend educational institutions after arrival. Participation in extracurricular activities also permits the formation of networks between individuals of different social, economic, and cultural backgrounds, often referred to as "bridging networks" (Kunz 2005). These ties enable individuals to access resources that might otherwise be unavailable to them. In contrast, the absence of social networks, cultural disparities in customs, values, and attitudes, and a shortage of informal labor market skills are thought to hinder the labor market potential of immigrants (Li 2004; Walters et al. 2007). For instance, Reitz and Sklar (1997) revealed that, when controlling for foreign and domestic human capital, economic assimilation tends to be poorer among immigrants whose social networks are confined to their own ethnic group, often referred to as "bonding networks" (Kunz 2005).

In summary, the socioeconomic impact of schooling in the host country is both direct and indirect. In addition to increasing one's human capital, immigrants who pursue education after arrival acquire social and cultural capital that may ultimately prove economically advantageous. Education acquired in the destination country (particularly different PSE pathways) may help immigrants build social ties outside their own ethnic networks and gain familiarity with the labor market and improve their access to jobs with higher pay and social standing (prestige).

DATA, VARIABLES, AND METHOD

This paper employs the LSIC Wave 3 data collected by Statistics Canada and Citizenship and Immigration Canada. LSIC was administered to immigrants who arrived in Canada between October 1, 2000 and September 30, 2001 and were interviewed at six months (Wave 1), two years (Wave 2), and four years (Wave 3) after landing. The approximately 7,700 respondents included in all three waves are nationally representative of approximately 157,600 new immigrants.

The research sample of 3,000 used in this paper was defined based on the following criteria:

1. Respondents had never lived in Canada before immigration.

2. Respondents were between 25 and 49 years of age on arrival in Canada (i.e., people in the prime working age population, 25-44, range extended to 49 in agreement with the Canadian immigration point system that takes away points for applicants older than 49).

3. Respondents had a university degree obtained in their country of origin.

As a result, the selected research sample comprises of adult immigrants with comparable levels of education and no previous Canadian experience. Results of the study are presented according to Statistics Canada requirements. (1)

We focus on the occupational prestige score of immigrants' main job four years after arrival (Wave 3), and contrast it with the prestige scores of the occupation desired at arrival and the premigration occupation. We assign prestige scores to occupations by employing a scale of occupational prestige for the National Occupational Classification (NOC) major groups developed and validated by Goyder and Frank (2007). (2) The construction of the scale is based on national survey data on occupational prestige in Canada collected by telephone interviews in 2005; the survey replicates the Pineo and Porter (1967) survey of occupational prestige collected in 1965. Goyder and Frank (2007) obtained occupational prestige scores for 26 aggregated occupational groups. An inspection of the ranking (Goyder and Frank 2007:69) shows that scores of professional occupations range from 69.2 (Art and Culture) to 80.9 (Health), most skilled occupations range from 62.0 (Sales and Services) to 66.8 (Business and Administrative), while most unskilled and intermediate work in services, primary industry, or manufacturing has prestige scores below 60. The prestige measures are particularly useful to assess occupational attainment for migrant workers because occupational categories are standardized while earnings are less comparable across different social contexts. We assigned prestige scores to the occupations reported by LSIC respondents as their "main occupations," regardless of full-time or part-time employment, because main occupation indicates immigrants' perception of occupational attainment and potential growth. (3)

The design variable in our analysis is the PSE pathway chosen by immigrants within four years after arrival. It is based on the postsecondary institution attended and a comparison of the field of study of the university degree obtained in the country of origin and the current field of study. This typology has been proposed by Adamuti-Trache (2011) to differentiate choice of further education by the university-educated immigrant as an expression of the strategic action of personal agency. We argue that choice of PSE institution and field of study (for those enrolled in university) also indicates immigrants' beliefs about the likely consequences of their behavior (Ajzen 2002) and thus are informative of future occupational intentions. Therefore, regardless of the completion status of the PSE credentials pursued by highly educated immigrants (which may not be even attainable within four years of arrival), the PSE pathways point to career intentions and occupational aspirations of highly educated immigrants. The four PSE pathways are (Adamuti-Trache 2011):

1. Nonparticipation--those who do not pursue PSE credentials.

2. Recycling--those who seek further job-related education and training in the form of a credential in nonuniversity institutions (e.g., community and career colleges, institutes, trade schools).

3. Value Added--those who enroll in university to pursue a degree in same field of study.

4. Start Anew--those who seek a university degree in a different field of study.

We hypothesize that sociodemographic factors (i.e., gender, age, and visible minority status), premigration characteristics as well as postmigration experiences are covariates that mediate the relationship between occupational prestige scores and PSE pathways. For instance, data show a pronounced shift in occupational distributions for immigrant women: the overall proportion of women in management and professional occupations declined from 82 to 40 percent after coming to Canada (Statistics Canada 2003). Other research shows that highly educated Chinese immigrant women are being deskilled in Canada (Man 2004), which suggests that a decline in occupational prestige may occur at the intersection of gender and ethnicity. Since previous analysis of LSIC data show that women, older immigrants, and visible minorities are less likely to pursue additional PSE in Canada (Adamuti-Trache and Sweet 2010), these immigrant groups may have fewer opportunities to restore the occupational prestige they experienced in their source countries.

Premigration human capital factors include level of university education (i.e., bachelor and graduate degrees), field of study (i.e., eight major groups), and premigration occupation. Immigrant-specific factors are expected to affect both PSE participation (Adamuti-Trache and Sweet 2010) and labor market performance. First, proficiency in one of Canada's official languages is crucial to immigrant integration (Statistics Canada 2005). The LSIC respondents self-reported their level of competence in English and French. We selected variables that indicate speaking ability in English or French in Wave 1 (within six months after landing). We distinguish between respondents who self-report speaking English or French well or very well, or English/French was their mother tongue (Grondin 2007), and those who speak fairly well, speak poorly, or not at all. We derive a single variable describing speaking proficiency in one of Canada's official languages based on the English scores for all provinces except Quebec, and the best of the English or French scores for Quebec. Second, we take into account the immigration class that indicates the condition under which newcomers were accepted to Canada. Thus, we distinguish (1) the Federal Skilled Worker class either principal applicants who pass the point system requirement and (2) their spouses/dependents; (3) other economic immigrants admitted through Provincial Nominee Programs or as Business class immigrants; (4) family immigrants who are sponsored by relatives living in Canada; and (5) refugees. Finally, we consider region of last permanent residence (eight regions), which provides information on economic and geopolitical differences that affect employers' view of foreign credentials and work experience.

Occupation wanted in Wave 1 is likely to capture premigration occupational aspirations but also reveals immigrants' response to the first contact with the Canadian labor market; we aggregated occupation wanted into eight major groups (i.e., trades, primary industry, and manufacturing occupations were further collapsed due to the small sample size). Recognition of prior work experience in Canada is a significant indicator of barriers encountered by immigrants in finding adequate employment. The research design employs a three-category variable describing whether work experience (1) was never negotiated (i.e., the immigrant never worked before arrival, or did not find employment in Canada, or did not find work commensurate with his or her previous education), (2) was negotiated but not accepted, or (3) was negotiated and accepted. The analysis also includes a two-category variable that indicates whether the immigrant experienced any problems with foreign credentials recognition since arrival.

As noted above, the formation of social networks is an additional dimension of the socioeconomic integration of immigrants to Canada that may affect occupational prestige. The analysis includes two social capital constructs. The first, or friendship network measure, is based on whether immigrants had friends at arrival; whether they subsequently made new friends and the extent to which this new circle of friends consisted of co-ethnics or different ethnic groups. The second, or group membership measure, is a three-category variable that indicates (1) no membership, (2) membership in nonethnic organizations, or (3) membership in ethnic (or religious/cultural) organizations.

FINDINGS

Employment and Occupational Outcomes by PSE Pathways

Within four years of arrival 46 percent of highly educated immigrants enrolled in formal education offered by postsecondary providers. Of particular interest are the PSE pathways chosen by respondents--54 percent were Nonparticipants, 29 percent chose nonuniversity education (Recycling), 8 percent went to university and chose the same field of study (Value Added) while 9 percent started a university program in a new field (Start Anew). Our hypothesis is that there is a relationship between PSE pathway choices and employment and occupational indicators four years after arrival.

As shown in Table 1, all PSE pathway groups including the Nonparticipants improve their employment status in Canada after arrival, with Nonparticipants most closely resembling those in the Recycling pathway group; both groups increased their employment rate in Wave 3 to 79 percent. It is not surprising that those who pursued university education were less likely to be employed, but it is interesting to note that the rate of improvement in employability is highest for the two university pathway groups, with a 31-point increase for Value Added and a 35-point increase for the Start Anew group by Wave 3.

For those employed full-time in Wave 2 and Wave 3, median personal incomes during the previous 12 months did not show much variability whether immigrants engaged or not in further education. The relatively higher incomes of immigrants pursuing university education are not necessarily an effect of newly acquired Canadian degrees (perhaps not completed yet) but more likely the result of more favorable situational circumstances encountered by these immigrants. Nevertheless, in 2004 to 2005, four years after arrival to Canada, median incomes of recent highly educated immigrants were in the range of $32,000 to $36,000. These are significantly lower than the 2005 median income (i.e., about $55,000) of the 25- to 44-year-old university-educated Canadians, working full-year full-time (Statistics Canada 2006). We argue that these economic differentials are the result of employment of immigrants in occupations that carry less prestige in the labor market and are therefore least rewarded financially.

As shown in Table 1, there is significant variability in employment when comparing the three waves by PSE pathways. In Wave 2 more than half of immigrants in the Value Added and Start Anew groups had not attained jobs. However, by Wave 3, more than two-thirds of each PSE pathway groups had located jobs and all groups are comparably represented in the labor market. As a consequence, we choose to examine only Wave 3 occupational data in order to compare the prestige scores of premigration and postmigration occupations by PSE pathway. Higher scores indicate occupations that require higher skill levels associated with higher levels of education.

Table 2 first contrasts Nonparticipants and all PSE pathway groups by the average prestige scores of occupations held prior to arrival in Canada and wanted at arrival. Although all respondents had obtained university degrees prior to arrival, there are clear differences in their prior occupational attainment (i.e., corresponding to jobs held in their countries of origin). On average, the mean scores are higher for immigrants who, after arrival, engaged in university education, which may suggest that they possessed more human capital (or of higher quality) to continue further education immediately after arrival. All immigrants, regardless of their PSE pathway, tend to aspire to equivalent or higher occupational attainment in Canada, as shown by the scores for occupation wanted. However, the much lower prestige scores in Wave 3 suggest that their aspirations were often not realized in the occupations they attained within four years of arrival to Canada.

The Nonparticipant and Recycling groups tended to work in their countries of origin at jobs with lower occupational prestige than the two university PSE pathway groups and this pattern persists after four years of arrival. Among PSE participants, there are distinct differences in the prestige scores attained by Wave 3. Value Added and Start Anew groups are employed in occupations that approximate the aspirations voiced upon arrival. Finally, it should be noted that the prestige scores of occupations prior to arrival and wanted at arrival indicate that highly educated immigrants worked (and wanted to work) in professional occupations (scores 71.8-74.2). However, within four years of arrival and regardless of PSE pathway, immigrants worked primarily in technical and skilled occupations (scores 65.8-71.5).

Data also show consistency between the employment income and occupational prestige scores in Wave 3. Both measures indicate a greater university premium particularly for the Value Added immigrants whose income is about 13 percent higher and who enjoy a 9 percent higher prestige scores than Nonparticipants. The evidence of an earning premium for recent highly educated immigrants who pursue university education in Canada is also in agreement with Allen and Vaillancourt's (2004) findings based on the National Graduates Survey (Class of 2000) although no comparative data on occupational prestige are available.

Modeling Occupational Prestige

In this section, we ran a linear regression model to predict Wave 3 occupational prestige scores using the predictors described in Table 3. Since not all immigrants worked during Wave 3, the model is based on about 87 percent of the initial research sample (N = 2,610).

There are somewhat more male (60 percent) than female respondents (40 percent) in the sample; most immigrants are members of a visible minority (80 percent) reflecting the non-European character of immigrant source countries. About 34 percent of immigrants obtained a graduate degree in their country of origin, and more than 50 percent had degrees in natural and applied sciences, and mathematics and computer sciences. Almost 90 percent of the highly educated immigrants are economic immigrants (i.e., immigrated to Canada under the Federal Skilled Worker or Provincial Nominee/Business programs). Over 60 percent of recent immigrants came from Asia. More than three-quarters of immigrants reported good language proficiency in one of Canada's official languages.

We employed two linear regression models to account for the effect of PSE pathways when controlling (or not) for sociodemographic factors, premigration factors, and postmigrations factors on occupational prestige scores. While the model including only the PSE pathway variable explains 5 percent of the variability in the outcome, inclusion of all control variables (Model 2), results in 26 percent of the variability in occupational prestige being explained. Table 4 presents the unstandardized coefficients and standard errors.

Model 1 shows that immigrants that chose the Start Anew and especially the Value Added pathway experience significantly higher occupational prestige levels as compared to Nonparticipants or Recycling groups. Model 2 shows that the result initially obtained without control variables holds, although slightly reduced, when control variables are included.

The full model shows that job occupational prestige in Wave 3 is lower for women and for visible minority immigrants, although the effect is not statistically significant. This result does not contradict previous findings that show that women and visible minority immigrants are more likely to find work in occupations with lower status (see, e.g., Chui 2011; Chui and Maheux 2011). Differences could be less pronounced in our sample, which comprises highly educated immigrants who, regardless of gender and race/ethnicity, experience barriers to access to professions within four years of arrival. There is also a pronounced negative effect of age on the occupational prestige scale--immigrants over 40 years of age are found in occupations that are about two points lower than those in the reference group.

Premigration factors appear to have impact on occupational prestige. Lack of proficiency in one official language is negatively related with occupational prestige but the effect is not statistically significant. Compared to the reference category group (i.e., skilled workers principal applicants), only the provincial nominees group displays slightly higher occupational prestige although the effect is not statistically significant; all other immigration categories experienced lower occupational prestige than the reference group of skilled workers principal applicants. By way of illustration, family immigrants are likely to have jobs in occupations that are about two points lower than those of the reference group. Immigrants' source country origin impacts on occupational prestige in Wave 3. Thus, in comparison with the reference group consisting of Anglophone countries, immigrants from all other source countries score significantly lower on occupational prestige, with immigrants coming from South Asia faring more poorly than immigrants from other source countries, relative to the reference category, and this effect is statistically significant.

Prior level of education matters: having a graduate degree raises the average occupational prestige score by about two points. The premigration field of study matters as well with immigrants with university degrees in health, mathematics and computer sciences, and engineering obtaining jobs with significantly higher occupational prestige in comparison with the reference category.

The analysis of postmigration factors shows that variables describing immigrant work aspirations and interaction with the Canadian labor market are more relevant to attainment than social interactions. When we explored the influence of occupation preferences as expressed upon arrival in Canada, we found that those who are interested in health, social sciences, natural and applied sciences, and social sciences occupations experienced significantly higher occupational prestige (compared to immigrants who could not state any occupation). However, those who chose trade, primary industry and manufacturing, sales and services, art, culture, recreation, and sport experienced lower occupational prestige in Wave 3, some of these differences being statistically significant. Occupational prestige in Wave 3 is positively related with having work experience in one's previous country of origin negotiated and recognized--those who succeed are likely to score about four points higher on occupational prestige than those in the reference category. Finally, experiencing foreign credential recognition problems has a significant negative effect on occupational prestige scores.

None of the social network indicators show statistically significant effects on occupational prestige, although all have a positive effect. Membership in nonethnic organizations, having friends at arrival and making new friends who are not in the same ethnic group lead to a modest increase in occupational prestige. Although "bridging networks" are expected to enable immigrants to access resources that might otherwise be unavailable to them (Kunz 2005), social capital appears to have a minimal effect on finding jobs with higher occupational prestige. Rather than discount the impact of "bridging networks," we suggest that four years in the host country may be insufficient for forming social networks that result in finding more prestigious jobs. Alternatively, the impact of bridging social capital among highly educated immigrants in locating more prestigious jobs may be overestimated. It should be noted that the measure of social capital utilized in this study differentiates social networks by ethnicity rather than occupational-related characteristics. Other research using LSIC data shows a positive effect of social networks on wages particularly for immigrants with lower levels of education and for minority newcomers (Xue 2008). However, highly educated immigrants experience more rigorous competition for prestigious jobs, and data show they cannot establish effective social networks within a short time of arrival.

In summary, the analysis of occupational prestige in Table 4 provides strong support for the effect of most human capital factors used in the model. Thus, prior level of education, field of study, and PSE pathways categories are among the strongest determinants. In addition, the work/occupation factors employed are significant, and we emphasize the role played in the model by acceptance of prior work experience. Meanwhile, sociodemographic factors, immigrant-specific factors, and social network factors play a less significant role in the model. Although the choice of an "homogeneous" research sample (age, level of education, familiarity with Canada) is predicated on the assumption that various groups of highly educated immigrants are similarly situated with respect to PSE and the labor market, it is possible that specific social structural factors (e.g., sociodemographic and social network characteristics) could exert different impacts, if models were separately run for each PSE pathway. (4)

DISCUSSION AND CONCLUSION

A recent Conference Board of Canada report argues that, in order for Canada to meet its long-term domestic labor market needs, it must increase its annual immigration from the existing level of 250,000 to some 360,000 (Kitagawa et al. 2008). This quota includes immigrants recruited under the Federal Skilled Worker and Provincial Nominee Programs but also reflects an increasing reliance on Temporary Foreign Workers (TFW). While TFWs are generally selected on the basis of their fit to regional job market requirements, many are highly skilled individuals who are overqualified for the jobs offered by Canadian employers (Lowe 2012). To the extent the TFW program includes highly educated individuals, it reinforces the importance assigned to higher education in the selection of immigrants under the established Federal Skilled Worker immigration program. Consequently, we can expect that professionally trained and educated immigrants will continue to be attracted to Canada. Given that credential recognition remains a significant problem in the settlement of immigrants in Canada, most will encounter difficulties of finding work commensurate with their work experience and educational qualifications. Our analysis clearly shows that after four years of arrival, highly educated immigrants do not reach the occupational prestige levels they enjoyed before migrating to Canada. In fact, after four years in Canada, relatively few reach even the "bottom" of the professional job scale. Our study contributes to the literature on highly educated immigrants' integration by drawing attention to considering occupational attainment as an additional and important indicator of employment "success."

Study findings show that 46 percent of recent highly educated immigrants engage in PSE after arrival, and their choice of a particular type of PSE has important implications for future occupational attainment, regardless of differences in sociodemographic, premigration, and postmigration characteristics. We argue that choice of PSE institution and field of study by highly educated immigrants provides valuable indicators of (future) occupational intentions and career plans. Our results show that there is a connection between choosing to set up higher Canadian PSE aspirations (i.e., engaging in university studies) and advancing faster in terms of occupational attainment.

If Canada is to optimize the benefits of any increase in the number of educated immigrants, we need to understand better the educational strategies they use to facilitate economic integration, the motivations underlying their PSE choices, and the educational policy measures that would complement these efforts. Our analysis shows that about two-thirds of those pursuing PSE are drawn to nonuniversity educational programs or community colleges. Immigrants choose the college option for various reasons: in order to take shorter (and less expensive) programs, to acquire courses needed for credential recognition, as prerequisites for university programs, to acquire familiarity with technical terms, to upgrade their skills, or simply to obtain a Canadian credential that is more trusted by employers. Many highly educated immigrants are nevertheless drawn to university rather than a community college perceiving the former as possessing greater "prestige." In this, they are not unlike Canadian-born students (Davies and Hammack 2005).

There are personal characteristics and conditions that differentiate those who opt to recycle and those who enroll (again) in a university program: women, older immigrants, those with lower language proficiency, and immigrants with prior engineering degrees are more likely to engage in Recycling. As shown by Adamuti-Trache (2011), highly educated immigrants who opt for Recycling are more concerned to pursue education after arrival for job-related reasons and experience more difficulties in having prior work experience accepted by Canadian employers, which suggests that obtaining a Canadian credential is primarily an adjustment strategy. Are their efforts in this direction justified? Walters' (2003) analysis of the National Graduates Survey would suggest that Canadian university graduates who elect to recycle do not gain any particular labor market advantage from their added vocational education and training. Our findings show that immigrants who engage in a Recycling pathway are not able to benefit relative to those who elect not to undertake further PSE. However, as shown in Table 1, those choosing a Recycling pathway were less likely than Nonparticipants to secure employment in Wave 2, which may help explain their continued involvement in education and training; by Wave 3 the proportions obtaining employment were identical. Those choosing the recycling option also attain less prestigious jobs than those who chose to acquire further university-level education by Wave 3.

While individual preferences undoubtedly play a role in further education decisions, the accessibility of Canadian PSE institutions and, in particular, their responsiveness to immigrant circumstances must be considered. Research on the response of Ontario universities and colleges to recent immigrants reveals variations in student-support services that may explain the appeal of community colleges to newcomers (Grabke and Anisef 2008). Ontario colleges have many programs, centers, and services specifically designed to help immigrants, including sustained English as a Second Language (ESL) programs. They also offer applied training that educates students for specific jobs and labor sectors. This supportive approach helps immigrants find employment opportunities quite soon after graduation. Since the occupational attainment of highly educated immigrants who pursue college education in Canada remains low, we suggest that further education can have an important remedial function for these individuals.

In contrast, universities foster development of broad transferable skills rather than specific training for employment. Some Canadian universities do provide bridging programs and English-language institutes for internationally educated professionals, although few programs are specifically tailored to immigrants. The study shows that regardless of program completion, immigrants pursuing university-related pathways experience the highest occupational status four years after arrival. This could be partially the effect of the higher prestige attached to university education (Walters 2003). However, it should be noted that immigrants who chose university studies after arrival, also had higher occupational prestige jobs prior to arrival, suggesting that for these recent immigrants, pursuing a Canadian degree primarily fulfilled a validation function.

In conclusion, this study supports the idea that pursuing some form of formal education in the host country is beneficial even for highly educated immigrants. Providing newcomers with access to PSE and tailoring this education to respond to their needs (e.g., effective ESL classes, applied education courses, internship opportunities) should be sensible means of developing the specific cultural understanding, official language skills, and job experiences they require for successful economic and social integration.

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MARIA ADAMUTI-TRACHE

University of Texas at Arlington

PAUL ANISEF

York University

ROBERT SWEET

Lakehead University

(1.) Statistics Canada provides a bootstrap weights file recommended for statistical analysis, and the current analysis employs 500 bootstrap replicate weights. Results are presented according to Statistics Canada requirements: counts are rounded to the nearest tens; means and proportions are rounded to the nearest tenth.

(2.) Boyd (2008) recognizes Goyder and Frank's prestige-based scale among other occupational scales that incorporate "both the economic and subjective social opinion dimensions of occupations" (p. 58).

(3.) LSIC occupations are classified with the Standard Occupational Classification (SOC). We used the concordance between SOC and NOC to match the prestige scores to LSIC occupations.

(4.) We note that previous research on PSE choices of highly educated immigrants (Adamuti-Trache 2011) shows that age and premigration field of study affect the choice of PSE pathways, which in turn appear to have an effect on occupational prestige. Therefore, the interaction effects of sociodemographic factors (e.g., age) and human capital factors (e.g., PSE pathway, premigration field of study) may contribute to explaining occupational prestige scores among highly educated immigrants. The analysis of interaction is prevented by sample size limitations in this study, but perhaps future research could consider it.

Maria Adamuti-Trache, University of Texas at Arlington, Educational Leadership & Policy Studies, Box 19575, 701 Planetarium Place, Arlington, TX 76019. E-mail: [email protected]
Table 1
Employment Outcomes by PSE Pathway Groups

Percentage employed (percent) (N = 3,000)

                                                   Value    Start
                     Nonparticipant   Recycling    Added     Anew

Wave 1                     55             56         39       36
Wave 2                     71             66         47       48
Wave 3                     79             79         70       71

Median personal income ($) (last 12 months prior to the interview) *

                                                   Value    Start
                     Nonparticipant   Recycling    Added     Anew

Wave 2 (N = 1,670)       25,000         25,000     25,000   29,000
Wave 3 (N = 2,020)       32,000         32,000     36,000   34,970

Note: * Only those employed full-time at the time of the interview.

Table 2
Occupational Prestige of Main Job (Prior to Arrival,
Wanted, Wave 3) (Mean Scores)
                                                      Value   Start
                         Nonparticipant   Recycling   Added   Anew

Occupation prior to           71.8          71.9      73.4    73.1
  arrival (N = 2,780)
Occupation wanted at          72.5          72.5      74.2    73.9
  arrival (N = 2,200)
Wave 3 (N = 2,610)            65.8          66.0      71.5    70.2

Table 3
Descriptive Statistics for the Variables Used in the Model
(N = 2610)
                                                           Percentage/
Variable name                Categories              N        Mean

Occupational prestige      Ordinal                 2,610      66.6
  score (W3)
PSE pathways               Non-participant         1,410      54.0
                           Recycling                 790      30.2
                           Value Added               190       7.2
                           Start Anew                220       8.6
Gender                     Male                    1,560      59.7
                           Female                  1,050      40.3
Age                        25-29                     550      21.1
                           30-34                     860      32.9
                           35-39                     640      24.4
                           40-49                     560      21.6
Visible minority           No                        520      20.1
                           Yes                     2,090      79.9
Speaking official          Well/Very well/Mother   1,990      76.2
  language at                tongue
  arrival (W1)
                           Fairly well/ Poor/        620      23.8
                             Not at all
Immigration class          Skilled worker--        1,590      61.1
                             Principal Applicant
                           Skilled workers--         670      25.7
                             Spouse/Dependant
                           Other economic (e.g.,      70       2.6
                             provincial
                             nominees)
                           Family                    230       9.0
                           Other (refugees)           40       1.5
Region of last             US/UK/Oceania             120       4.6
  permanent residence      W/N/S/Central Europe      150       5.8
                           Eastern Europe            270      10.3
                           Latin America             100       4.0
                           Middle East               230       9.0
                           E/W/SE Asia             1,040      39.7
                           South Asia                540      20.7
                           Africa                    160       6.0
Level of Education         Bachelor                1,730      66.4
                           Graduate                  880      33.6
Prior field of study       Humanities/Soc&           580      22.2
                             BehavSciences/
                             Unspecified
                           Education                  80       3.0
                           Business                  370      14.3
                           Physical & Life &         290      11.0
                             Agricultural
                             Sciences
                           Mathematics &             290      11.0
                             Computer Sciences
                           Engineering               860      32.8
                           Health/Fitness            150       5.7
Occupation wanted (WI)     Not stated                650      24.9
                           Management                 60       2.3
                           Bus/Finance/              320      12.3
                             Administrative
                           Natural & Applied         970      37.0
                             Sciences
                           Health                    160       6.3
                           SocScience/Education/     210       7.9
                             Government/Religion
                           Art/Culture/               50       2.1
                             Recreation/Sport
                           Sales/Services            100       4.0
                           Trade/Transportation/      80       3.2
                             PrimaryInd/
                             Manufacturing
Prior work experience      Did not work/did not      500      19.1
  accepted (within           try negotiate work
  4 years)                   exp
                           Tried/work exp not        980      37.5
                             accepted
                           Tried /work exp         1,130      43.4
                             accepted
Problems with foreign      No                      2,420      92.6
  credential recognition   Yes                       190       7.4
Had friends in Canada      No                        820      31.4
  at arrival               Yes                     1,590      68.6
Non-ethnic friends (W3)    Ordinal (0-5)           2,610       2.5
Group membership (W3)      No participation        1,700      65.2
                           Non-ethnic                320      12.2
                             organizations
                           Ethnic organizations      590      22.5

Table 4
Occupational Prestige Scores Wave 3, Linear Regression
Models (N = 2610)

                                   Model 1               Model 2

                                           Std.                  Std.
                            Coefficients   Err.   Coefficients   Err.
PSE pathways
  (ref = Non-participant)
  Recycling                    .29         .39       .37         .36
  Value Added                 5.71 **      .62      4.29 **      .63
  Start Anew                  4.46 **      .60      3.51 **      .57
Sex (ref = Male)                                    -.46         .37
Age (ref = Age 25-29)
  Age 30-34                                         -.83 *       .45
  Age 35-39                                        -1.11 *       .47
  Age 40-49                                        -2.12 **      .46
Visible minority                                    -.59         .63
  (ref = No VM)
Speaking official                                   -.27         .38
  language at arrival
  (ref = Well & Very
  well)
Immigration category
  (ref = Skilled
  worker-- PA)
  Skilled worker--                                  -.93 *       .42
  SP/DEP
  Other economic group                              1.37         .83
  Family immigrants                                -1.84 *       .59
  Refugees                                         -2.31 *       .99
Region of last perm
  residence (ref =
  US/UK/Oceania)
  W/N/S/Central Europe                              -.39         .85
  Eastern Europe                                   -1.47         .79
  Latin America                                     -.57         .94
  Middle East                                       -.59         .77
  E/W/SE Asia                                       -.42         .69
  South Asia                                       -2.56 **      .70
  Africa                                           -1.66 *       .79
Level of prior                                      1.71 **      .33
  university education
  (ref= Bachelor)
Prior field of study
  (ref = Hum/Social &
  Behavioural Science)
  Education                                          .14         .89
  Business                                          -.71         .49
  Physical & Life &                                  .73         .55
  Agricultural Sciences
  Mathematics & Computer                            2.43 **      .58
  Sciences
  Engineering                                       1.27 *       .46
  Health/Fitness                                    4.22 **      .90
Occupation wanted W1
  (ref = Not stated)
  Management                                        -.75         .86
  Bus/Finance/                                      -.33         .52
  Administrative
  Natural & Applied                                 1.70 **      .45
  Sciences
  Health                                            3.29 **      .90
  SocScience/Education/                             2.01 *       .68
  Government/Religion
  Art/Culture/                                     -1.54         .85
  Recreation/Sport
  Sales/Services                                  - 1.78 *       .73
  Trade/Transportation/                           - 1.86 *       .73
  PrimaryInd/
    Manufacturing
Prior work exp (ref =
  not negotiated)
  Negotiated & not                                  -.28         .44
    accepted
  Negotiated & accepted                             3.68 **      .46
Foreign credentials                               - 1.57 *       .54
  recognition (ref = No
  problems)
Had friends in Canada at                             .38         .33
  arrival (ref = No)
Diversity of circle of                               .14         .11
  new friends made in
  Wave 3 (scale 0-5)
Group membership (ref =
  No participation)
  Non-ethnic                                         .87         .48
    organizations
  Ethnic organizations                               .37         .35

Constant                    65.76 **       .23      64.65 **     .95
Adjusted R-square                    .049                   .257

** P < .001; * P < .05.
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