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Notes: *** represents that the difference in mean is statistical significance at 1% level, ** at 5% level and * at 10% level

Table 2 Notes: *** represents that the difference in mean is statistical significance at 1% level, ** at 5% level and * at 10% level

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Table 1. Economic and social indicators in Colombia and other countries
Table 1. Economic and social indicators in Colombia and other countries
Notes: *** represents that the difference is statistical significance at 1% level, ** at 5% level and * at 10% level. All numbers are in percentage. The second line in each cell in parentheses indicates the number of observations. 4. Estimation procedure fives tit at ee we This section presents the econometric model used to decompose the gender wage gap among millennial workers. The raw wage gaps are first computed, and then the wage gaps are adjusted for observable characteristics. By comparing the raw and the adjusted wage gaps, we determine how the gender differences in observable characteristics shape gender wage inequality.
Notes: *** represents that the difference is statistical significance at 1% level, ** at 5% level and * at 10% level. All numbers are in percentage. The second line in each cell in parentheses indicates the number of observations. 4. Estimation procedure fives tit at ee we This section presents the econometric model used to decompose the gender wage gap among millennial workers. The raw wage gaps are first computed, and then the wage gaps are adjusted for observable characteristics. By comparing the raw and the adjusted wage gaps, we determine how the gender differences in observable characteristics shape gender wage inequality.
Notes: *** p<0.01, ** p<0.05, * p<0.1. Bootstrapped standard errors with 200 repetitions are given in parentheses. The results are expressed on the logarithmic scale, so that to interpret these values in terms of difference in percentage points we calculate: (exp(GWG) — 1) x 100. men do. Table 1 shows that this gender wage gap of 19 percent among millennial workers is higher than the general gender wage gap of around 8 percent found in Colombia. This gap is similar to that found in developed countries, which suggests that millennial workers face significant gender wage inequality.
Notes: *** p<0.01, ** p<0.05, * p<0.1. Bootstrapped standard errors with 200 repetitions are given in parentheses. The results are expressed on the logarithmic scale, so that to interpret these values in terms of difference in percentage points we calculate: (exp(GWG) — 1) x 100. men do. Table 1 shows that this gender wage gap of 19 percent among millennial workers is higher than the general gender wage gap of around 8 percent found in Colombia. This gap is similar to that found in developed countries, which suggests that millennial workers face significant gender wage inequality.
Related topics:
Glass CeilingGender Wage GapMillennial workersWage decomposition
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