Erica Mantelfer, who previously served as the commissioner of the Bureau of Labor Statistics (BLS), recently resumed public engagements following her dismissal by President Trump last month.
During a talk at the Levy Economics Institute at Bard College, her alma mater, she shared her reflections on her firing and its potential financial implications. Reports suggested various media outlets covered her remarks.
“August 1 was just another typical first Friday of the month for jobs data,” she recounted. “The government’s role is to inform political leaders about what this data signifies regarding the economy.”
She continued, “By the end of that day, I had been publicly dismissed by the President—a rather surreal experience.”
Interestingly, Mantelfer learned of her termination when a reporter reached out for a comment on Trump’s social media announcement about her firing.
“Honestly, I couldn’t believe I’d been let go,” she admitted. It was only after checking her inbox that she saw a message from the White House informing her she was “finished immediately.”
Trump’s official statement accused Mantelfer of manipulating job figures for political gain. Economists, regardless of their political leanings, generally understand that adjustments to job data are a common practice and often arise due to employers’ delays in reporting.
“Right up until my dismissal, I was confident in the accuracy and independence of our agency’s work,” she noted. Mantelfer also expressed concern regarding the risks posed to BLS’s independence.
“Letting go of your chief statistician is quite a perilous move,” she stated during her lecture. “It undermines the independence of institutions crucial for economic stability, akin to the Federal Reserve. Such actions have significant economic ramifications and are often made without forewarning—this approach is perplexing.”
“Manipulating economic data is like playing with traffic lights and turning off sensors,” she explained. “The system gets confused, and congestion builds up at intersections.”
She highlighted that in some countries, statisticians have been pushed out due to dissatisfaction with data results, leading to unfortunate consequences, citing examples like Argentina, Greece, and Turkey.
“The erosion of trust in economic statistics has contributed to deepening crises, rising inflation, and escalated borrowing costs in these nations,” she remarked.
