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Macroeconomics, policy, and research insights by Jon Steinsson

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Macroeconomics, policy, and research insights by Jon Steinsson

Jon Steinsson is Chancellor’s Professor of Economics at the University of California, Berkeley, and co-director of the Monetary Economics program at the National Bureau of Economic Research. His academic work has been cited over 12,200 times, with a research focus on price rigidity, fiscal multipliers, and the long-term effects of monetary shocks. Steinsson’s most influential papers, including “Five Facts About Prices” and “Monetary Non-Neutrality in a Multisector Model,” are published in the Quarterly Journal of Economics and the Journal of Monetary Economics.

While not directly active in the crypto industry, Steinsson’s research provides valuable context for digital currency debates. His work on exchange rate dynamics and fiscal stabilization has been cited in policy papers exploring stablecoin volatility and central bank digital currency design. In 2024, he participated in an IMF panel on the macroeconomic risks of decentralized finance and was invited to consult for the Bank of England on digital money frameworks. Steinsson teaches graduate-level courses on monetary theory and business cycles, with enrollment consistently exceeding 120 students per term. With a strong academic reputation and policy influence, Steinsson’s frameworks remain highly relevant to debates on digital currency regulation and adoption.

Debt-to-GDP ratio must stay stable throughout cycle, Jon Steinsson argues

Eugene Komchuk
20.10.2026

Debt-to-GDP ratio must stay stable throughout cycle, Jon Steinsson argues

Jon Steinsson stated that the debt-to-GDP ratio should be stable over the entire course of a business cycle, not just at its peak. He argued that if the ratio is only stable at the top of the ...

Jon Steinsson: AI infrastructure buildout could require $10.3 trillion investment by 2032

Mikhail Vnuchkov
25.09.2026

Jon Steinsson: AI infrastructure buildout could require $10.3 trillion investment by 2032

Jon Steinsson reports that a new paper from BPEA, authored by @SVNieuwerburgh, estimates the global buildout of artificial intelligence infrastructure will require $10.3 trillion in investment ...

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