At the recent Jackson Hole annual Kansas City barbecue, Fed Chairman Warsh mentioned that if the Fed had paid more attention to the surge in the M2 money supply in 2021, it might have raised the federal funds rate sooner, which, in turn, might have moderated the sharp increase in consumer price inflation that ensued. Wow! The ghost of Milton Friedman, may his memory be a blessing, must have been talking to Warsh while he was at Stanford’s Hoover Institution. The Fed could do worse than paying more attention to the behavior of the M2 money supply. It could do better, though, by paying more attention to behavior of the sum of the monetary base (reserves of depository institutions held at the Fed plus currency) plus securities and loans on the books of depository institutions (broad thin-air credit). But where Fed Chairman does not quite get it is his continued emphasis on using the federal funds interest rate as the Fed’s operating instrument. If the ghosts of Milton Friedman and Robert Laurent (also, may his memory be a blessing) would have had more séance time with Warsh, they might have been able to convince him to abandon using the federal funds interest rate as the Fed’s policy instrument and instead directly set the level of depository institution reserves such that a constant rate of growth in a monetary quantity, be it M2 or thin-air credit, could be achieved. This would require some institutional changes such as the elimination of interest payments on reserves and the re-introduction of reserve requirements. (See, my August 25, 2026 commentary “A Modest Monetary Policy Proposal for Fed Chairman Warsh to Consider” for a discussion of these necessary institutional changes.)
Let’s compare the relationship between percentage changes in the M2 money supply and thin-air credit with goods/services price inflation. Plotted in Chart 1 are the percent changes in the annual averages of the M2 money supply (the blue bars) vs. the percent changes in the annual averages of the Gross Domestic Purchases chain-price index (the red line) starting in 1960. The highest positive correlation between the two series occurs when percent changes in M2 are advanced (lead) by two years. The correlation coefficient is 0.48. Although a correlation coefficient of 0.48 is a long way from the maximum possible value of 1.00, it’s not bad for government work.



Global