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Table 4 Weighted OLS and FE estimates showing the impact of share of migrants on wages. Dependent variable: log of weekly wages

From: The regional impact of cultural diversity on wages: evidence from Australia

  OLS Fixed effect
Explanatory variables (1) (2) (3) (4) (5) (6) (7)
Migrant share 0.311*** 0.166*** 0.440*** 0.330*** −0.005 −0.014 −0.063
  (0.046) (0.032) (0.074) (0.074) (0.027) (0.022) (0.053)
Migrant share-squared −0.397*** −0.307*** 0.076
    (0.086) (0.084)    (0.063)
Demographic controls Yes Yes Yes Yes Yes Yes Yes
Human capital controls   Yes Yes Yes   Yes Yes
Time dummies Yes Yes Yes Yes Yes Yes Yes
Individual effects      Yes Yes Yes
Movers (0 = not moved; 1 = moved)     Yes    
Ancestry (0 = foreign-born; 1 = Australian-born)     Yes    
Residence (0 = rural; 1 = urban)     Yes    
Observations 19,876 19,795 19,795 19,794 19,878 19,797 10,797
F-statistic 158.54 249.80 243.77 238.09 178.20 223.15 212.04
R-squared 0.222 0.594 0.595 0.607 0.053 0.325 0.326
  1. Values are estimated for the HILDA wave 4–11 respondents aged 16–45 years. Robust standard errors are in parentheses and are adjusted for clusters by individuals. The reported sample sizes differ from the original (n = 44,634) due to sample weighting and lagging. Demographic controls include age and age-squared in all models, plus gender and marital status in the OLS models. Human capital controls include education, weekly hours worked, and job tenure, in all models, plus English language skill in OLS
  2. Significance values indicate *p < 0.1; **p < 0.05; ***p < 0.01