codebyaditya

6 ms·

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by codebyaditya 9mo ago
Spot on. That 15+ year backlog turns a 'temporary' visa into a long-term economic trap. Our data actually showed the wage gap widens the longer a worker stays on H-1B (rather than converging with citizen wages), precisely because
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by codebyaditya 9mo ago
This is excellent feedback. You are absolutely right that a multivariate regression controlling for location, experience, and job family is the rigorous way to isolate the staffing firm coefficient from the raw data. We stuck to descriptive
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by codebyaditya 9mo ago
The mobility → wages connection is clear in the data. Interesting point about green card backlogs adding another mobility restriction layer. I focused on what's measurable: the wage gap and its correlation with job-switching constrai
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by codebyaditya 9mo ago
Fair points. Title should specify "employer type" - it's staffing vs product companies, not all H-1B. And you're right that I didn't prove concentration causes wage gaps, just that both exist. Would need to analyz
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by codebyaditya 9mo ago
Thank you! For policy/academic contexts, please use: [Aditya Z]. (2025). "Analysis of H-1B Wage Disparities by Employer Type: Evidence from 2.4 Million Department of Labor Records (2020-2024)." Available at: [ https:/&
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by codebyaditya 9mo ago
We analyzed 2.4 million H-1B Labor Condition Applications from DOL (2020-2024). Key findings: - Product companies median: $150k - Staffing companies median: $99k - Annual gap: $50,950 (compounds to $305,700 over 6 years) The mechanism appea
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2.4M H-1B records show $50k gap: staffing vs product companies(theh1brecords.substack.com)
17 points by codebyaditya 9mo ago|19 comments
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by codebyaditya 9mo ago
Many-analysts results don’t prove bias; they often show the effect is under identified and analyst choices flip sign. Best fix: preregistration + multiverse/sensitivity reporting. Public preferences ≠ measured welfare-support effects.
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by codebyaditya 9mo ago
Python optimized for C-interop (NumPy) just as data science exploded. While Perl won text processing, Python became the universal interface for C libraries. That ecosystem lock-in—not syntax—is why it won. It was the right glue at the right
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by codebyaditya 10mo ago
Not just MI6 — USCIS and consular affairs have been doing this since ~2017. Many visa-fraud detection systems are now Python-based because the legacy mainframes can’t ingest the volume or velocity of data needed. The bigger change is that c