How the Bureau of Labor Statistics Compiles and Revises the Jobs Report

Understanding the Jobs Report Data Collection

• 📊 The Bureau of Labor Statistics (BLS) compiles the monthly jobs report using two primary surveys: one conducted door-to-door for demographic and employment status information, and the Current Employment Statistics (CES) Survey for businesses and government agencies.
• 📞 The CES survey gathers data on total monthly employment, hours worked, and earnings through methods like telephone, internet, and automated data from large corporations.
• ⚖️ While the CES survey is voluntary, businesses in three states and Puerto Rico are legally required to submit data.

The Revision Process and Transparency

• 🔍 The BLS's preliminary jobs report is an educated prognostication that is refined as more data becomes available, leading to revisions.
• ⚠️ Revisions can occur due to incomplete responses, a low number of responses by the deadline, or significant deviations from seasonal adjustment calculations.
• 🌐 The BLS publishes its methodology, including formulas for seasonal adjustments, on its website under the "Handbook of Methods," indicating a degree of transparency.

Historical Revisions and Precedents

• 📈 Recent large revisions, while notable, are not unprecedented; revisions during the pandemic and the financial meltdown of 2009 were larger.
• 📉 For example, a downward revision of 679,000 jobs in March 2020 was attributed to poor survey responses during the nationwide lockdown.
• 🗓️ Similarly, a downward revision of 143,000 jobs in January 2009 occurred amid the financial crisis.

The Integrity of the BLS and its Data

• 🥇 The Business and Government Employment Survey is considered the gold standard by economists, and BLS employees are described as loyal Americans devoted to producing high-quality data.
• 🚫 The implication of faking the jobs report would require a conspiracy of national proportions, involving hundreds of thousands of inputs and numerous individuals.
• ⏱️ The BLS commissioner only sees the data shortly before its public release, leaving little time for manipulation.

Consequences of Eroding Trust in Economic Data

• 📉 If trust in government economic data erodes, it can weaken the U.S. dollar and increase the cost of goods for Americans.
• ⚠️ Historical examples, such as Argentina and Turkey, show that manipulating economic indicators can lead to economic calamity.
• 🏛️ Attacks on the BLS and its commissioner can undermine the infrastructure of trust essential for economic stability and investment.