Part of the discussion about revamping the H1-B visa system involves the question of “H1-B Dependent” versus “H1-B Non-dependent” employers. The suggestion is that H1-B dependent employers may be taking advantage of the wage exemption system, and the visa program more generally.
This week I ask the question: What are the differences in wages offered by H1-B dependent and non-dependent employers?
As with last week, I’ll use the Department of Labor’s disclosure data of FY 2016 applications for H1-B visas, accessed 2/10/2017 from here:
https://www.foreignlaborcert.doleta.gov/performancedata.cfm
All data cleaning and manipulation code can be found in the .rmd file accompanying this report.
Of the 558,438 visa applications we’re considering, 234,742 (or 42%) are from H1-B dependent employers.
All applicants submit data on the prevailing wages of the proposed position. I’ve annualized these wages and plot the distribution for H-1B Non-Dependent employers (“N”) or Dependent employers (“Y”).
It does appear that there is a tendency for H1-B non-dependent employers to submit applications for jobs with higher prevailing wages, and a wider variety of job salaries.
We can verify this by looking at the descriptive statistics (sd
is standard deviation).
summary(nondependent_employers$PW_ANNUALIZED)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 14500 56800 71420 77150 92630 488400
sd(nondependent_employers$PW_ANNUALIZED)
## [1] 29291.48
summary(dependent_employers$PW_ANNUALIZED)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 15220 58120 65310 68740 75880 253400
sd(dependent_employers$PW_ANNUALIZED)
## [1] 16904.07
Likewise applications include data on the wage that will be offered to the worker. These are required to be higher than the prevailing wages (although in 26 out of the 558,438 applications they are not). Here is a plot comparing distributions of annualized offered wages.
We see the same pattern of higher wages and larger variety for non-dependent employers, in the descriptive statistics.
summary(nondependent_employers$OW_ANNUALIZED)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 14520 62860 80000 89290 106000 935400
sd(nondependent_employers$OW_ANNUALIZED)
## [1] 41454.41
summary(dependent_employers$OW_ANNUALIZED)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 17140 62500 70000 74820 81000 900000
sd(dependent_employers$OW_ANNUALIZED)
## [1] 19266.79
In comparing the difference between offered wages and prevailing wages, the data above suggest that non-dependent employers may be more generous. I would like to test this hypothesis.
The variable OW_ABOVE_PW
measures the percentage increase/decrease between offered wage and prevailing wage (i.e. the relative difference between these two quantities).
summary(nondependent_employers$OW_ABOVE_PW)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## -3.846 0.000 6.686 16.330 20.560 1544.000
summary(dependent_employers$OW_ABOVE_PW)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## -21.060 0.000 3.122 9.914 15.140 1460.000
To more thoroughly address this question, we use a t-test to compare these distributions.
t.test(nondependent_employers$OW_ABOVE_PW, dependent_employers$OW_ABOVE_PW, paired = FALSE)
##
## Welch Two Sample t-test
##
## data: nondependent_employers$OW_ABOVE_PW and dependent_employers$OW_ABOVE_PW
## t = 96.571, df = 514350, p-value < 2.2e-16
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 6.281357 6.541608
## sample estimates:
## mean of x mean of y
## 16.325290 9.913807
From this we can conclude that on average dependent employers will offer a wage that is 9.9% above the prevailing wage, and non-dependent employers will offer a wage that is 16.3% above the prevailing wage. These two percentages are not actually that close together, so we have a very small p-value and a 95% confidence interval far away from zero.