I've work in data science, data engineering, and software development for 7 years. Currently doing data engineering but would like to return to more mathematical work. In the past have done lots of ML, Bayesian stats, various types of regression modeling, optimization, and genetic algorithms.
(yes it is by the Heritage foundation so their top-line summary probably has some ideological bias but the list of study summaries at the bottom is great) Generally, studies found that unions benefitted the unionized workers at the expense of the most and least skilled workers. And was slightly bad for company investment/earnings long term. But by far my favorite result (and the best study design from the list, imo) was a regression-discontinuity analysis that found no effect of unionization whatsoever:
"Compares companies whose workers voted narrowly for a union with companies whose workers voted narrowly against a union. Since the difference between winning and losing is close to random, this provides an estimate of the causal effect of randomly organizing a given company. Finds that workers who vote to join a union do win certification but that unions have essentially no effect on the firm or the workers. Wages do not rise, and employment and productivity do not fall. Unionized companies are no more likely to go out of business than are non-union firms."
DiNardo, John, and David S. Lee, "Economic Impacts of New Unionization on Private Sector Employers: 1984-2001," The Quarterly Journal of Economics, Vol. 119, No. 4 (November 2004), pp. 1383-1441.
Remote: Yes
Willing to relocate: No
Technologies: Spark, dbt, airflow, Stan, R, python, java, OCaml
Résumé/CV:https://www.linkedin.com/in/david-stauffer-453874101/
Email: [email protected]
I've work in data science, data engineering, and software development for 7 years. Currently doing data engineering but would like to return to more mathematical work. In the past have done lots of ML, Bayesian stats, various types of regression modeling, optimization, and genetic algorithms.