<a target="_blank" href="https://www.buzzsprout.com/twilio/text_messages/2159526/open_sms">Send us a text</a>In this episode of The Wall Street Skinny, Kristen and Jen open with timely market context, discussing the recent upheaval in U.S. jobs data. They explain how the July non-farm payrolls report came in well below expectations, with a significant downward revision to prior months, 258,000 jobs erased from May and June’s tallies, the largest adjustment since COVID. They outline why this matters to markets: the Fed’s dual mandate hinges on both employment and inflation data, so large revisions can shift interest rate expectations. The hosts also address the political dimension, noting President Trump’s firing of the Bureau of Labor Statistics Commissioner and the broader implications for trust in economic data.Their guest, Brown University economist Emily Oster, connects this “good data/bad data” theme to her own work, emphasizing how flawed methodologies or biased sampling can lead to misleading conclusions, whether in public health studies or economic indicators. Oster explains how to evaluate data quality, stressing that in both investing and policy analysis, asking the right question is just as important as having accurate numbers. She parallels market analysts’ challenges, separating signal from noise, with her own research methods, offering investors a framework for thinking critically about the origin and reliability of the information they use.The conversation later circles back to macroeconomics, highlighting how revisions often coincide with turning points in the economy. Oster points to factors like tariffs and immigration policy potentially affecting small business reporting, creating lags and inaccuracies. For market participants, this reinforces the need to contextualize economic releases, watch for structural shifts in data collection, and avoid overreacting to single datapoints. The episode ultimately blends Oster’s disciplined, evidence-based approach with real-time market analysis, offering listeners practical insight into interpreting economic data in both policy and investment decision-making. Ask ChatGPTFor a 14 day FREE Trial of Macabacus, click <a href="https://macabacus.com/wss">HERE</a> For 20% off Deleteme, use the code TWSS or click the link <a href="https://joindeleteme.com/TWSS">HERE</a>!&nbsp; Our Investment Banking and Private Equity Foundations course is <a href='https://thewallstreetskinny.com/investment-banking-private-equity-fundamentals/'>LIVE</a> now with our M&A course included! Shop our LIBRARY of Self Paced Online Courses <a href='https://thewallstreetskinny.com/courses/'>HERE</a> Join the Fixed Income Sales and Trading waitlist <a href='https://courses.thewallstreetskinny.com/waitlist-opt-in-1'>HERE</a> Our content is for informational purposes only. You should not construe any such information or other material as legal, tax, investment, financial, or other advice.

Podurama

Home

Trending

Personal

Your Podcasts

New Episodes

My Files

Favourite Episodes

Tags (Folders)

Recently Played

Bookmarks

Followed Playlists

Professor Emily Oster on Good Data, Bad Data, and the Truth About Parenting in High-Stress Careers

The Wall Street Skinny

AI Chapters

AI Insights

Reviews