Asymmetric information, credential assessment services and earnings of new immigrants

Figures & data

Figure 1. A hypothetical scenario depicting variations in earnings against variations in ability.

Figure 2. The variance in log earnings and mean squared error, by country of birth. The density of the circle represents the share of place of birth population.

Table 1. List of variables used in the regression model

Variable name	Variable type	Use
Wages, salaries and commissions	Continuous	Dependent variable
Age at immigration	Factor	Independent variable
Highest level of education	Factor	Independent variable
Classification of Instructional Program	Factor	Independent variable
Census Metropolitan Area	Factor	Independent variable
Knowledge of official language	Factor	Independent variable
Language of work	Dummy	Independent variable
Marital status	Factor	Independent variable
North American Industry Classification System (NAICS)	Factor	Independent variable
National Occupational Classification (NOC)	Factor	Independent variable
Children living in the household	Dummy	Independent variable
Gender	Dummy	Independent variable
Visible minority	Factor	Independent variable
Location of study	Factor	Independent variable
Place of birth	Factor	Subset across all place of birth levels; a separate regression for each level
Class of worker	Factor	Subset to employees
Labour force status	Factor	Subset to employed in reference week
Work activity in 2015	Factor	Subset to worked at least 40 weeks full time
Age group	Factor	Subset to those 25–64 years old; and native-born are further subset to those 25–34 years old
Immigration status	Factor	Subset to immigrant or non-immigrant; excludes non-permanent residents and not available
Year of immigration	Continuous	Subset to new immigrants in the last 5 years and native-born; excluding all older immigration cohorts and not available

Figure 3. The variance in log earnings and mean squared error, by the share of place of birth population. The diagonal line is the fitted relationship between variables. Each circle represents the share of place of birth population.

Figure 4. The variance in log earnings and mean squared error, by place of birth. The density of the circle represents the share of place of birth population.

Figure 5. The variance in log earnings and mean squared error, by place of birth. The data is subset to the middle $80\mathrm{\%}$ (or 10–90 quantile). The diagonal line is the fitted relationship between variables. Each circle represents a source country group.

Figure 6. The variance in log earnings and non-parametric estimates of the mean squared error, by country of birth. The density of the circle represents the share of place of birth population.

Figure 7. The variance in log earnings and non-parametric estimates of the mean squared error, by country of birth. The data excludes estimates of Indian, Chinese and American immigrants. The density of the circle represents the share of place of birth population.

Figure 8. The variance in log earnings and mean squared error, by the share of place of birth population. The diagonal line is the fitted relationship between variables. Each circle represents a source country group.