U.S. Unknown Studies56In an integrated meta-analysis, the provision of vocational training frameworks averages employment rates2and3Points and annual income.1,000The dollar went up, the cost.1personally agreed.13,000It was dollar.
56 Medium Effect Calculated from Non-Acoustic Studies
The new meta-analysis integrated the randomized study 56 conducted in the U.S. as a single set of evidence.In addition to the U.S. integration results, experimental evidence obtained in Europe is also included in the evaluation.
The analysis was jointly carried out by independent researchers David Roodman and Maxim Massenkoff of Anthropic, who calculated the average change in employment and income for the whole person who received the training framework rather than individual success cases.
Employment rate is 2 to 3 points, annual income is about 1,000 dollar increase
As a result of the integration, a professional training framework was provided.1average employment rate per person.2and3Points increased.The effect on income is also positive, and the annual increase is approximately average1,000It was dollar.
For these effects, the cost per person of 1 provided training framework was approximately 13,000 dollars, although the impact on employment and income was confirmed, the average size was limited in terms of cost.
Tax revenue and allowance cuts to recover more than half of government spending
The increase in employment and income was also reflected in the public sector's revenue.In combination with the increase in tax revenue and the decrease in social benefits spending, the amount recovered by the government was more than half the amount spent on vocational training.
Government recovery did not cover the entire amount of the cost alone, while the analyzed vocational training program generally balanced the revenue combined with the benefits.
Training directly with the employer is highly effective, but difficult to recover.
A handful of examples that were significantly above average were the training methods called sector programs, which coordinated with employers in high-demand industries and directly placed trained people to work in their fields.
However, attempts to replicate those effects in other initiatives often failed, and analysts concluded that the existing re-training program alone is likely to be less responsive in a situation where AI replaces workers on a large scale.