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Published Classic [American Economic Review] doi:10.1257/aer.91.2.219 Vol. 91, No. 2, pp. 219-225

Interest Rates and Inflation

Fernando Alvarez — University of Chicago

Robert E. Lucas — University of Chicago and Federal Reserve Bank of Minneapolis

Warren E. Weber — Federal Reserve Bank of Minneapolis

📄 Summarized from the full manuscript · Human-reviewed for faithfulness before publication

In brief

Central bankers say raising short rates fights inflation, yet long-run evidence says faster money growth brings higher inflation and higher rates. Can both hold? This paper builds a quantity-theoretic economy where only some agents trade in the bond market where open-market operations happen. That segmentation produces a genuine short-run liquidity effect, temporarily lowering the rate, without overturning the long-run link between money growth, inflation and rates. With velocity shocks, a rule that responds to the current shock hits an inflation target exactly through money growth alone, while an interest-rate rule on the same information does worse. So interest-rate rules need some other justification, such as smoothing real rates.

What this paper finds — and why it matters

Reconciling the consensus view that raising short rates fights inflation with the quantity-theoretic evidence that inflation and interest rates move together with money growth in the long run, this paper builds a segmented-markets exchange economy that can do both. In the model, all agents share the same preferences and constant endowment, but only a fraction λ (“traders”) participate in the bond market where open-market operations occur, while “non-traders” never do; this segmentation, adapted from Grossman-Weiss/Rotemberg-style models, generates a genuine short-run liquidity effect – an open-market bond purchase lowers the nominal interest rate by an amount proportional to a coefficient φ that depends on the degree of segmentation – while the underlying equation of exchange still ties long-run inflation to money growth exactly as the quantity theory predicts. Introducing velocity shocks and working through a sequence of policy examples, the paper shows that a money-growth rule that can be conditioned on the contemporaneous velocity shock can hit an announced inflation target exactly, for any shock process, whereas Taylor-type interest-rate feedback rules, though they use exactly the same information, generically cannot do as well: because they tie the interest rate to a base rate determined by long-run (Fisherian) considerations outside the policymaker’s control, “committing to a Taylor rule amounts to tying the hands of the monetary authority in a way that can only limit its effectiveness” at controlling inflation. The paper’s headline conclusion is a “qualified affirmative answer” to whether interest-rate policy can be rationalized within an essentially quantity-theoretic framework: yes, once markets are segmented enough to generate a liquidity effect, but the specific practice of following a Taylor rule for inflation control alone cannot be justified as better than direct money-growth management, and must instead be rationalized by some other policy objective, such as smoothing real interest rates in the presence of endowment risk that segmented markets prevent agents from pooling.

Summary of a classic paper, AI-assisted and human-reviewed. See the linked original for the authoritative claims and full conditions.

Questions & answers

Q1. What tension between “consensus” monetary policy views and quantity-theoretic evidence does the paper open with?

The modern policy consensus holds “that the instrument of monetary policy ought to be the short term interest rate, that policy should be focused on the control of inflation, and that inflation can be reduced by increasing short term interest rates” – yet “the systematic evidence… consists almost entirely of evidence that increases in average rates of money growth are associated with equal increases in average inflation rates and in interest rates” (Section 1, p. 1). The paper notes that “the U.S. inflation of the 1970s and 80s can be fully accounted for by the corresponding increase in M2 (or M1) growth rates, and the return to relatively low inflation rates in the 1990s can be explained by the correspondingly low average rate of money supply growth in that decade” (p. 1-2), making an outright rejection of the quantity theory “a difficult step to take.”

Q2. Why do the authors reject standard new-Keynesian IS/Phillips-curve models as the right framework for this question?

Because those models “contribute nothing to our understanding of why the 60s and the 90s were low inflation decades, relative to 70s and the 80s, or why Germany has been a low inflation country, relative to Mexico” – the low-frequency, welfare-relevant questions that “one needs to rely on some explicit version of the quantity theory of money” to answer (Section 1, p. 3). They also note that most coherent monetary theories (Sidrauski, Brock, Lucas-Stokey) have no genuine liquidity effect at all – “with a complete set of financial markets, it is just not true that when the government buys bonds, the price of bonds increases” – so a different modeling ingredient is needed just to get interest rates to respond to open-market operations in the conventional direction (Section 1, p. 3-4).

Q3. How does market segmentation generate a liquidity effect in this model?

Only a fraction λ of agents (“traders”) attend both the goods market and the bond market where open-market operations take place; the rest (“non-traders”) never trade bonds, so an increase in the money supply is absorbed only by traders, temporarily depressing the return they require on bonds (Section 2, p. 4-5). Formally, from the log-linearized Euler equation, r_t = ρ̂ + φ(E_t[μ_{t+1}] − μ_t) + E_t[μ_{t+1}] + E_t[v_{t+1}] − v_t (eq. 6), “the immediate effect of an open market operation bond purchase, μ_t > 0, is to reduce interest rates by φμ_t. This is the liquidity effect that the segmented market models are designed to capture” (Section 2, p. 8). If markets are unsegmented (λ = 1), φ = 0 and “the liquidity effect vanishes” – interest rates can then only move via expected-inflation (“information”) effects (Section 2, p. 8).

Q4. What is the role of velocity shocks in the model, and how is inflation determined?

Velocity shocks (v_t) capture short-run instability in the money-price relationship; differencing the equation of exchange gives inflation as the sum of money growth and the change in velocity, π_t = μ_t + v_t − v_{t-1} (eq. 7), which anchors every subsequent example (Section 2-3, p. 9). Absent segmentation, prices would be “entirely determined” by the equation of exchange given the money supply path – “the quantity theory of money in its very simplest form” – with velocity shocks the only source of short-run money-price instability (Section 2, p. 7).

Q5. What does the “exact inflation targeting” example (Example 4) show, and why is it the paper’s benchmark?

That a money-growth rule conditioned on the contemporaneous velocity shock, μ_t = π̄ − v_t + v_{t-1}, can hit an announced inflation target exactly, for whatever the shock process is: “in our context, inflation targeting cannot be done any better than this” (Section 3, p. 10). This example becomes the benchmark against which the paper’s several Taylor-rule examples (5 through 8) are judged, since a Taylor rule uses the same current information but, by construction, ties the interest rate response to the deviation of inflation from target rather than directly targeting inflation via money growth.

Q6. What is the paper’s central comparison between money-growth rules and Taylor rules?

Because Taylor rules “use the same information as the rule in Example 4 that attains the inflation target perfectly,” but constrain the interest rate to move only in proportion to the inflation deviation from target (r_t = ρ + π̄ + θ(π_t − π̄), eq. 8), “committing to a Taylor rule amounts to tying the hands of the monetary authority in a way that can only limit its effectiveness” at hitting the inflation target, “as our examples illustrate” across both iid (Example 5) and serially correlated (Example 6) velocity-shock processes (Section 4, p. 15-16). A permanent change in the inflation target (Example 7) passes through one-for-one to money growth and interest rates regardless of the liquidity effect φ or the Taylor coefficient θ, showing those parameters affect only the transitional dynamics, not the long-run Fisherian link (Section 3, p. 13-14).

Q7. Does a policy of pegging the interest rate ever outperform a policy of fixing money growth?

Yes, conditionally: comparing an interest-rate peg (Example 4-type policy) to constant money growth with iid velocity shocks (Example 2), the paper finds “pegging the interest rate is inflation-stabilizing, relative to constant money growth, if and only if φ > 1/2” – that is, only when the liquidity effect is large enough (Section 3, p. 10-11). This result depends entirely on the size of the segmentation-generated liquidity effect, underscoring that the case for using interest rates as an instrument is a quantitative, model-dependent one rather than a general theoretical necessity.

Q8. If Taylor rules cannot beat a money-growth rule at inflation control, what does the paper suggest could rationalize using them?

Some additional objective beyond inflation-target attainment, most plausibly interest-rate smoothing: the authors note they “have in fact considered variations on the model presented here in which relative endowments of agents fluctuate, giving rise to gains from pooling endowment risk,” and that “in a model with segmented markets where such pooling cannot take place, there can be real gains from policies that smooth real interest rates” – what the founders of the Federal Reserve called an “elastic currency” – though the authors explicitly defer full analysis of this extension “to another paper” (Section 4, Conclusions, p. 16).

Key terms in this paper

Definitions below follow the paper's own usage.

The quantity-theory long-run consensus
The paper's starting puzzle: "the systematic evidence that exists linking monetary policy, inflation, and interest rates... consists almost entirely of evidence that increases in average rates of money growth are associated with equal increases in average inflation rates and in interest rates," so that "to lose sight of these connections is to lose sight of the one reliable means society has for controlling the long run average inflation rate" -- in tension with the modern consensus that raising short rates lowers inflation.
Segmented-markets model of monetary equilibrium
The paper's model: an exchange economy in which all agents share the same CRRA preferences and endowment, but only a fraction λ ("traders") participate in the bond market where open-market operations occur, while the remaining "non-traders" never do; because non-traders cannot immediately absorb changes in the money supply, "with a complete set of financial markets, it is just not true that when the government buys bonds, the price of bonds increases" -- segmentation is what allows the model to generate a genuine liquidity effect at all (Section 2).
The liquidity effect (coefficient φ)
The mechanism the segmentation is built to produce: from the log-linearized Euler equation for traders, r_t = ρ̂ + φ(E_t[μ_{t+1}] − μ_t) + E_t[μ_{t+1}] + E_t[v_{t+1}] − v_t, "the immediate effect of an open market operation bond purchase, μ_t > 0, is to reduce interest rates by φμ_t," where φ > 0 depends on the segmentation parameter λ; if markets are unsegmented (λ = 1), φ = 0 and "the liquidity effect vanishes," leaving only Fisherian information effects (Section 2, eq. 6).
Taylor rules as a strictly inferior, information-constrained special case
The paper's conclusion, reached by comparing Example 4 (a money-growth rule conditioned on the contemporaneous velocity shock, which "can attain [an inflation target] exactly... whatever is the shock process") with several Taylor-rule examples using the same information set: "committing to a Taylor rule amounts to tying the hands of the monetary authority in a way that can only limit its effectiveness" at hitting an inflation target, so interest-rate feedback rules can be rationalized only by appeal to some other objective, such as smoothing real interest rates (Section 4, Conclusions).
How this summary was made. Bibliographic fields are pulled from Crossref and OpenAlex and are not model-generated. The summary was drafted from the open-access manuscript , checked by a claim-grounding and calibration review pass, and approved before publishing. Found an error or a misrepresentation? Flag it here — corrections are welcome, especially from the authors.