Correction
I add two additional tables to Weber (2024): weighted descriptive statistics and a summary table clarifying how I arrive at the final analytical sample.
Table R1 presents weighted descriptive statistics. Proportions are weighted using the variable vikt2. The results for the dependent (time to first job) and main independent (contacts at arrival) variable are in line with the results presented in the original article. When comparing Table 1 in the manuscript and Table R1 in the correction, we find that the stratified sampling technique led to an overrepresentation of migrants from South and East Asia and the Pacific, sub-Saharan Africa and Latin America when compared to the national average in 2010. The stratified sampling technique also led to smaller differences in men’s and women’s educational attainment.
Table R1
Weighted descriptive statistics of migrant characteristics by gender and pre-migration contacts.
| MALE | FEMALE | DIFF IN MEANS | TOTAL | |
|---|---|---|---|---|
| Outcomes | ||||
| Mean years to first job | 3.64 | 4.39 | ** | 4.09 |
| Entered a job within 5 years of arrival | 0.66 | 0.59 | ** | 0.62 |
| Entered a job within 10 years of arrival | 0.72 | 0.69 | 0.70 | |
| Contacts at arrival | ||||
| Family | 0.46 | 0.57 | *** | 0.53 |
| Friends | 0.18 | 0.14 | + | 0.16 |
| Both family and friends | 0.06 | 0.05 | 0.05 | |
| No contacts | 0.30 | 0.24 | * | 0.26 |
| Demographic characteristics | ||||
| Mean age at arrival | 27.79 | 28.34 | 28.12 | |
| Region of origin | ||||
| Europe, Central Asia and North America | 0.49 | 0.55 | * | 0.53 |
| Middle East and North Africa | 0.29 | 0.24 | + | 0.26 |
| South and East Asia & Pacific | 0.06 | 0.10 | *** | 0.08 |
| sub-Saharan Africa | 0.08 | 0.05 | ** | 0.06 |
| Latin America | 0.08 | 0.06 | 0.07 | |
| Residence permit | ||||
| Family reunification | 0.40 | 0.65 | *** | 0.55 |
| Refugee | 0.60 | 0.35 | *** | 0.45 |
| Family situation | ||||
| Married before arrival | 0.23 | 0.28 | * | 0.26 |
| Parent before arrival | 0.09 | 0.12 | + | 0.11 |
| Married within 10 years of arrival | 0.30 | 0.45 | *** | 0.40 |
| Parent within 10 years of arrival | 0.13 | 0.24 | *** | 0.20 |
| Educational attainment | ||||
| Low education at arrival | 0.22 | 0.21 | 0.21 | |
| Intermediate education at arrival | 0.33 | 0.27 | *** | 0.29 |
| High education at arrival | 0.29 | 0.33 | + | 0.31 |
| Missing education at arrival | 0.16 | 0.20 | * | 0.18 |
| Low education within 10 years of arrival | 0.21 | 0.23 | + | 0.22 |
| Intermediate education within 10 years of arrival | 0.31 | 0.26 | *** | 0.28 |
| High education within 10 years of arrival | 0.32 | 0.29 | * | 0.30 |
| Missing education within 10 years of arrival | 0.16 | 0.21 | *** | 0.19 |
| Observations | 821 | 1,104 | 1,925 |
[i] Notes. Weighted proportion within each group reported. Weights are based on the variable vikt2. + p < 0.1; * p < 0.05; ** p < 0.01; *** p < 0.001 (two-tailed).
I also present a summary table to clarify how many observations were excluded in each subsequent step of the sample restrictions (Table R2). I received permission and access to the LNU-UFB data file on 13/01/2017 at the Stockholm University Demography Unit (SUDA). This file comprised 4,183 observations, including non-migrants. In order to make the sample restrictions, I needed to rely on a number of different variables in the original dataset. Table R2 shows that most observations were excluded due to the age restrictions, as described in the original article. However, the number of observations excluded in each subsequent step was clarified. As in the original article, the final analytical sample comprises 1,925 individuals: 821 men and 1,104 women.
Table R2
Sample restrictions.
| LNU-UFB DATA | INDIVIDUALS | NUMBER EXCLUDED |
|---|---|---|
| UFB med F-variabler file | 4,183 | |
| 1. Restrict to individuals with information on arrival year | 4,137 | 46 |
| 2. Exclude individuals who are recorded as entering their first job in Sweden prior to arrival | 3,927 | 210 |
| 3. Restrict to migrants who arrived between ages 16 and 60 | 2,482 | 1,445 |
| 4. Restrict to family reunification and refugee migrants | 1,941 | 541 |
| 5. Exclude observations with missing information on one or more variables used in the analysis | 1,925 | 16 |
| Final sample | 1,925 | |
| Gender | ||
| Male | 821 | |
| Female | 1,104 |
[i] Notes: The data file was made available to me through SUDA on 13/01/2017.
Funding Information
This work was supported by the Department of Sociology, Stockholm University; the Swedish Research Council for Health, Working life and Welfare (Forskningsrådet om Hälsa, Arbetsliv och Välfärd) [2016 07105; 2021 00026; 2023 00609]; Åbo Akademi University Foundation’s funding of the DemSwed Internal Centre of Excellence 2019–2024; and the Swedish Research Council (Vetenskapsrådet) [340 2013 5164].
Competing interests
The author has no competing interests to declare.