Planet Money
Planet Money

Would you trust an economist with your economy?

Trust in experts is down. In all kinds of institutions and professions - in government, in media, in medical science... and lately, economists are feeling the burn acutely. In fact, President Trump just fired the economist who ran the Bureau of Labor Statistics, accusing her – with no evidence – of

Featured Speakers

NPR ([email protected]) HostOren Kass GuestBen Ho Guest

Topics Discussed

Episode Summary

Executive Summary: Planet Money examines why trust in economists is eroding, especially after repeated forecast failures, political attacks on official statistics, and growing skepticism toward expert advice. Through a panel discussion and interviews with economists, the episode argues that rebuilding trust will require humility, transparency, accountability for past mistakes, and clearer communication tied to lived experience—not just aggregate data.

Main Topics: Economists’ credibility crisis (Priority: 5/5): The episode opens with distrust in economists as a profession, connecting public skepticism to policy failures, forecasting misses, and political hostility toward expert institutions. The BLS and politicization of data (Priority: 5/5): The firing of the BLS chief and attacks on jobs data highlight how even official statistics are now being treated as partisan, threatening a long-standing gold standard in U.S. economic measurement. Why the public lost faith after the financial crisis (Priority: 4/5): Economists describe the 2008 crisis as a major turning point that damaged trust because the profession failed to predict the housing collapse and seemed unable to prevent it. Mismatch between aggregate data and lived experience (Priority: 4/5): Diane Swonk argues that economists often rely too much on macro indicators that can look strong while households feel squeezed by high prices, weakening public trust. How economists can rebuild trust (Priority: 5/5): Ben Ho proposes 'costly signals' of trustworthiness: acknowledging mistakes, being transparent in the present, and making credible promises to improve in the future. Using more nuanced, micro-level evidence (Priority: 3/5): Several economists say they now pay more attention to sectoral, household, and sentiment data rather than relying only on top-line aggregates, in an effort to better reflect reality.

Key Arguments: Economists have lost influence because many people believe they repeatedly got major things wrong, from trade and inflation to the financial crisis. The financial crisis damaged not only faith in forecasting but also confidence in institutions that produce official data. BLS statisticians are described as politically neutral and methodologically careful; attacks on their numbers are portrayed as unfounded and dangerous. Politicizing economic statistics can destroy public trust in government data, as seen in other countries. Economists often over-rely on aggregate measures like GDP and inflation rates, which can obscure household pain from high prices and uneven recovery. Rebuilding trust requires economists to admit mistakes explicitly rather than defending the profession abstractly. Transparency matters: economists should explain methods, limitations, and uncertainty in plain language. Costly signals work because they are harder to fake; in economics, that means taking responsibility and making commitments that can be verified over time. Better listening and more micro-level analysis can make economists seem more credible to the public and policymakers.

Data Points: Trust in nurses: 84% - YouGov survey cited in the episode; nurses were the most trusted profession in the list. Trust in economists: 25% - YouGov survey (2017, Britain) found economists were trusted by only a quarter of respondents. Trust in weather forecasters vs economists: About 2x higher than economists - Survey comparison mentioned to show economists lag other experts in trust. Housing market impact on home costs: 87% higher monthly expense - Diane Swonk cites this increase from 2019 to today as an example of why inflation felt worse than aggregate data suggested. U.S. business survey sample size: 150,000 businesses - Nick Bloom references a large U.S. Census survey used to summarize workplace trends and support his analysis. Work from home job share, in-person: Around half of all jobs - Nick Bloom says roughly half of jobs are clearly better done in person. Work from home job share, hybrid: Around one-third of jobs - Nick Bloom says hybrid is best for the typical person in another large set of jobs. Work from home job share, remote: A third category of jobs - Nick Bloom says some jobs are actually better fully remote, with call centers as a key example.

Pivotal Quotes: "people don't believe economists" — Narrator: A note from the AEA session that crystallized the episode’s central question about trust in the profession. "The absolute confidence and unanimity and direct condescension with which economists lectured to the rest of the country that we must embrace free trade with China." — Oren Kass: Critique of the economics profession during the panel discussion, arguing economists alienated the public. "you need to do costly signals that you're a trustworthy person." — Ben Ho: Core idea in his explanation of how trust can be rebuilt after mistakes.

Implications: Economists may remain influential only if they become more transparent, admit errors, and connect models to real-life experience. If data institutions are politicized, public decision-making gets worse and trust will be much harder to restore.

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