E.J. Antoni Nominated to Lead BLS: Concerns Over Data Integrity and Fed Independence

Nomination of E.J. Antoni to Lead BLS

• 🎯 President Trump has nominated E.J. Antoni, chief economist at the Heritage Foundation, to head the U.S. Bureau of Labor Statistics (BLS).
• ⚠️ This nomination follows the firing of the previous commissioner after a weaker-than-expected jobs report.
• 🗣️ Trump stated his goal is to ensure the numbers released are honest and accurate.

Criticisms of the Monthly Jobs Report

• 💡 Antoni has suggested that the monthly jobs report is flawed and proposed replacing it with less timely but more accurate quarterly data.
• 📉 The premise of the nomination implies that previous BLS numbers were not truthful or accurate, and potentially politicized.
• 🏦 This rhetoric is seen as undermining confidence in a core economic indicator that influences global financial markets.

Concerns Over Politicizing Government Data

• ⚖️ The president's assertion that numbers are only true if he approves creates a new dynamic that erodes trust.
• 🌍 There's a broader concern about operating in a society where there is no longer a shared set of facts.
• 📈 The BLS data is consequential, impacting livelihoods, and its integrity is crucial for the global financial system.

Independence of the Federal Reserve

• 🌐 Foreign capitals are concerned about the destabilizing effect of political pressure on U.S. economic institutions.
• 🏦 Trust in the U.S. dollar as the reserve currency and the Fed as a gold standard for monetary policy is being eroded.
• 📉 While past presidents have complained about the Fed, the current level of aggressive attack on the Fed chair and the implication that future appointees will be subservient is unprecedented.

Data Revisions and Methodology

• 📊 An unusually large revision in July's jobs data highlights the inherent volatility and revision process of BLS reports.
• 🚫 The argument that the BLS inflation numbers were not disputed because they were liked, while jobs numbers were criticized, points to a selective acceptance of data.
• 🛠️ The government has invested decades in building a methodology and nonpartisan civil service for trustworthy data, and there is no easy substitute for it.