The quality of risk at risk as the federal workforce is shrinking, explains the best economist

Good morning. Precise and timely data are essential for strong decision -making and business growth. When data quality suffers, organizations may lose their strategic advantage and recent changes to American statistical agencies have increased red flags among the best economists.
The Elon Musk Government Department (DOGE) may have finished a large part of its cost reduction program, but its training effects are always felt. Mark Zandi, chief economist at Moody’s Analytics, the dynamics of deeper risks resulting from Doge’s labor reductions: the reduction of jobs in statistical federal agencies already erodes the quality of government data – a sign of more distant consequences for public services.
“Government employees have significant jobs that are essential to provide important services to taxpayers,” said Zandi. “If the jobs are cut and these services are not provided or are not provided in a timely and competent manner, there may be significant negative benefits.”
Regarding data quality, the publication of the Bureau of Labor Statistics (BLS) report has resulted in a meticulous examination. President Trump, August 1, ordered the dismissal of Erika Mcentarfer, the BL commissioner.
According to the BLS, the July employment report showed only 73,000 new jobs, while the May and June employment gains have been strongly revised by 258,000 combined. This brought back the average monthly growth from three months to only 35,000, compared to 123,000 a year earlier.
However, Zandi highlights Doge’s cuts as a key engine of these revisions: reductions in the workforce mean that agencies’ pay data often arrives late, leading to large corrections after the fact.
“It did not matter when the government’s use was stable, but now that government jobs are decreasing, the cuts are taken up in the revisions,” said Zandi.
The impact extends to the statistical agencies themselves; Sub-effective teams find it difficult to quickly process data on employment, which in turn causes further revisions, even larger, he said. Investing in reliable data and the people who collect it is a basis for intelligent decisions and economic resilience, according to Zandi.
In times of uncertainty, the value of the right data cannot be overestimated: it is an essential compass for managers.
Sheryl Estrada
sheryl.estrada@fortune.com
Classification
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Severe
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Go further
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Heard
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