Macro Paper Warehouse Forthcoming macro & monetary research
Forthcoming [Journal of Monetary Economics] doi:10.1016/j.jmoneco.2026.103920

Competition and the Phillips curve

Ippei Fujiwara

Kiminori Matsuyama

What this paper finds — and why it matters

Fujiwara and Matsuyama ask whether the well-documented flattening of the New Keynesian Phillips curve (NKPC) and the concurrent rise in market concentration and markup rates are causally linked or merely coincidental. Under the canonical New Keynesian model with CES demand, competition is irrelevant to the Phillips curve regardless of whether entry is endogenous — concentration neither changes its slope nor affects inflation directly. This paper overturns that irrelevance result by extending the canonical model in two directions: (1) incorporating endogenous firm entry and exit following Bilbiie, Ghironi, and Melitz (2008) and Bilbiie, Fujiwara, and Ghironi (2014), and (2) replacing CES with the Homothetic Single Aggregator (HSA) demand system (Matsuyama and Ushchev 2017, 2020b), a flexible, tractable class of homothetic demand systems that nests CES and Translog as special cases.

The paper’s theoretical results depend on two of Marshall’s laws of demand. The Second law states that the price elasticity of demand rises with the firm’s own price; the Third law states that the rate of increase in that elasticity falls with price. Together these conditions imply that the markup rate and pass-through rate are endogenous to the competitive environment.

The main findings, delivered under both Rotemberg (1982) and Calvo (1983) pricing, are that higher entry costs — leading to market concentration — cause Phillips curve flattening through two distinct, complementary channels:

  1. Structural (steady-state) effect. Under Rotemberg pricing, the slope of the NKPC is proportional to the price elasticity zeta(z); market concentration reduces z, hence reduces zeta(z) under the Second law, directly flattening the curve. Under Calvo pricing, the slope is proportional to the pass-through rate rho(z); the Third law implies that concentration reduces rho(z), again flattening the curve. The Calvo–Rotemberg equivalence, which holds under CES to first order (Roberts 1995), breaks down under HSA: each pricing mechanism highlights a different channel.

  2. Observational (omitted variable bias) effect. Endogenous entry generates an endogenous cost-push shock through strategic complementarity in price setting. Because the number of firms N_t is omitted from a naive regression of inflation on real marginal cost, and because N_t is positively correlated with the marginal cost under the Second law, the omitted variable bias is negative — the estimated slope is biased downward. This bias is amplified with greater concentration under the Third law (Rotemberg case) and under both the Second and Third laws (Calvo case).

Quantitatively, the paper simulates under three parametric HSA families — CES, Translog, and Co-PaTh (Constant Pass-Through). De Loecker, Eeckhout, and Unger (2020) document that aggregate markups rose from 21% above marginal cost to 61% — a rise of approximately 40 percentage points. The authors’ simulations imply this increase corresponds to an entry cost roughly 3.5 times higher under Translog and roughly 2.5 times higher under Co-PaTh with pass-through rate rho = 0.5. Under these parameterizations, the accompanying market concentration can halve the slope of the NKPC. Impulse responses confirm that the responses of inflation to both technology shocks and monetary policy shocks become smaller as market concentration deepens.

Scope conditions: results require departure from CES (the Second and/or Third law must hold); endogenous entry is necessary for the dynamic cost-push channel; the structural flattening requires only the Second law under Rotemberg but additionally the Third law under Calvo; the omitted variable bias requires the Second law under Rotemberg and both laws under Calvo. The model is closed-economy, with symmetric monopolistic competition and Rotemberg or Calvo price adjustment.

Q1: What is the irrelevance result the paper overturns, and why does CES produce it? Under CES, the market share function takes the form s(z) = gamma * z^(1-theta), yielding a constant price elasticity zeta = theta and a pass-through rate rho = 1, regardless of the number of firms or entry costs. As a result, concentration neither alters the slope of the NKPC nor generates any endogenous cost-push shock; competition is simply irrelevant to inflation dynamics. This irrelevance holds even with endogenous entry under CES.

Q2: What is the Homothetic Single Aggregator (HSA) and why is it used? HSA is a class of homothetic demand systems, originally proposed by Matsuyama and Ushchev (2017), in which the market share of each intermediate input variety depends solely on its own price normalized by a single price aggregator A_t. This single aggregator serves as a sufficient statistic summarizing all competitive pressure effects on pricing behavior, including the markup rate and pass-through rate. HSA nests CES and Translog as special cases, is analytically tractable (equilibrium existence and uniqueness are straightforward to ensure with endogenous entry), and is flexible enough to accommodate both the Second and Third laws of demand.

Q3: What are Marshall’s Second and Third laws as defined in the paper? The Second law states that the price elasticity of demand zeta(z) is increasing in the normalized price z (equivalently, increasing in the single price aggregator A_t, which rises with fewer firms). The Third law, as defined by Matsuyama and Ushchev (2023b), states that the rate of increase in the price elasticity is decreasing in z. Together they ensure that both markup rates and pass-through rates respond systematically to changes in competitive pressure.

Q4: How does market concentration structurally flatten the NKPC under Rotemberg pricing? Under Rotemberg pricing, the slope of the NKPC equals (zeta(z) - 1) / chi, where chi is the Rotemberg price adjustment cost parameter. Higher entry costs reduce the equilibrium number of firms, which reduces competitive pressure and lowers z. Under the Second law, lower z reduces zeta(z), directly shrinking the slope coefficient. This is the steady-state effect of concentration: the structural slope of the curve declines because the price elasticity falls.

Q5: How does market concentration structurally flatten the NKPC under Calvo pricing? Under Calvo pricing, the slope of the NKPC is positively related to the pass-through rate rho(z) rather than the price elasticity. The Third law implies that lower z (more concentration) reduces rho(z). Market concentration therefore causes structural flattening through the pass-through channel under Calvo. This is why the Calvo–Rotemberg equivalence — which holds to first order under CES — breaks down under HSA: Rotemberg highlights the Second law / price elasticity channel and Calvo highlights the Third law / pass-through channel.

Q6: What is the endogenous cost-push shock and how does it arise? When the number of operating firms N_t changes endogenously, it alters the single price aggregator A_t and therefore the competitive environment facing each firm. Under the Second law, firms exhibit strategic complementarity in price setting: a firm reduces its markup when other firms lower their prices (A_t falls with more entry). Consequently, movements in N_t directly enter the NKPC as an additional term — (1/chi) * (1 - rho(z)) / rho(z) * N_hat_t — acting as an endogenous cost-push shock. This channel is absent under CES because rho = 1 makes the coefficient zero.

Q7: How does the endogenous cost-push shock create a negative omitted variable bias? A naive regression of inflation on real marginal cost omits the N_hat_t term. Under the Second law, N_t is positively correlated with the marginal cost (more entry drives markups down, consistent with marginal cost movements), so the omitted variable N_hat_t is positively correlated with the included regressor. Because the true coefficient on N_hat_t in the NKPC is negative, omitting it biases the estimated slope on marginal cost downward (negative omitted variable bias). The estimated relationship between inflation and marginal cost is therefore weaker than the true structural relationship.

Q8: How is the omitted variable bias amplified by concentration? Under the Third law (Rotemberg case) and under both the Second and Third laws (Calvo case), greater market concentration amplifies the magnitude of this negative bias. The intuition is that higher concentration makes the pass-through rate rho(z) smaller, which increases the coefficient on N_hat_t in the NKPC and thereby raises the magnitude of the bias when N_hat_t is omitted. Greater concentration thus generates both more structural flattening and more observational flattening simultaneously.

Q9: What are the quantitative magnitudes of Phillips curve flattening in the simulations? De Loecker, Eeckhout, and Unger (2020) document that aggregate markups rose from 21% above marginal cost to 61% — approximately 40 percentage points. The paper’s simulations imply this corresponds to an entry cost increase of roughly 3.5 times under Translog and roughly 2.5 times under Co-PaTh with rho = 0.5. According to Figure 2, the accompanying market concentration can halve the slope of the NKPC. The slope declines more steeply for demand systems with smaller pass-through rates (rho further from 1).

Q10: How do impulse responses change with market concentration? As entry costs rise (deeper concentration), the responses of the inflation rate to both technology shocks and monetary policy shocks become smaller in magnitude. Under the Second law, a positive technology shock increases the number of firms through a wealth effect, but strategic complementarity in price setting reduces markups, muting the inflation response relative to CES. The dynamic effect of endogenous entry thus weakens the transmission of real economic shocks to inflation — a supply side effect of monetary policy that parallels Baqaee, Farhi, and Sangani (2021) but operates through firm entry rather than the misallocation channel.

Q11: What is the cyclicality of the markup rate under HSA, and why is it ambiguous? Under CES with flexible prices, the markup is constant. Under CES with sticky prices, the markup is procyclical (marginal cost falls with a positive technology shock but the price is rigid in the short run). Under the Second law with flexible prices, a positive technology shock increases firm entry, which reduces markups, making the markup countercyclical. In a sticky price equilibrium under the Second and Third laws, the cyclicality is therefore ambiguous: it depends on the tension between nominal rigidities (pushing toward procyclicality) and the pass-through rate (pushing toward countercyclicality).

Q12: Why do the three price indices in the model differ, and which is used for the NKPC? The model features three aggregate price measures: the final goods price (CPI) P_t, which captures productivity effects of entry; the single price aggregator A_t, which captures competitive effects of entry and is the reference price for firms; and the average price index (PPI) p_t, which is not affected by entry effects and is the measured price index. Because entry effects shift P_t and A_t in ways that are not directly observed, the paper evaluates NKPC responsiveness in terms of p_t (PPI inflation), the measurable index.

Q13: How does this paper relate to Wang and Werning (2022) and Baqaee, Farhi, and Sangani (2021)? Wang and Werning (2022) use a dynamic oligopoly model with exogenous entry and CES/Kimball demand, showing that higher concentration amplifies real effects of monetary policy and generates inflation persistence and endogenous cost-push shocks. Baqaee, Farhi, and Sangani (2021) use monopolistic competition with exogenous entry and Kimball demand under Calvo pricing, showing flattening through real rigidities and a misallocation channel (supply side effects of monetary policy). This paper uses monopolistic competition with endogenous entry and HSA under both Rotemberg and Calvo pricing; it produces supply side effects through firm entry rather than misallocation, and uses HSA rather than Kimball because HSA more readily guarantees equilibrium uniqueness with endogenous entry.

Q14: What parametric families of HSA are used in simulations and what are their properties? Three families are used: CES (constant price elasticity theta, pass-through rho = 1, benchmark); Translog (satisfies the Second law, variable markups and pass-through); and Co-PaTh or Constant Pass-Through (proposed by Matsuyama and Ushchev 2020a, constant pass-through rate rho in (0,1) under flexible prices, containing CES as a limit as rho approaches 1). For Calvo pricing, a fourth family — PEM (Power Elasticity of Markup, proposed by Matsuyama and Ushchev 2023b) — is used; PEM satisfies the Third law in its strong form and contains Co-PaTh as a limit case. Translog is noted to behave similarly to Co-PaTh with rho = 0.5.

Q15: What are the policy implications for central banks? Rising market concentration, by flattening the NKPC both structurally and observationally, reduces the effectiveness of monetary policy in achieving price stability through real economic activity — consistent with the concerns expressed by Federal Reserve officials (Clarida, Daly, Williams) quoted in the paper. The results suggest that empirical estimates of the NKPC slope that omit endogenous entry dynamics will be systematically biased downward, potentially leading central banks to underestimate the true structural responsiveness of inflation to demand conditions. Competition policy and barriers to entry thus have macroeconomic consequences beyond standard allocative efficiency considerations.

Homothetic Single Aggregator (HSA): A class of homothetic demand systems in which the market share of each input variety depends solely on its own price normalized by a single price aggregator A_t, which serves as a sufficient statistic for all competitive pressure effects on firm pricing behavior including the markup rate and pass-through rate. Nests CES and Translog as special cases.

Marshall’s Second Law of Demand (as used in the paper): The condition that the price elasticity of demand zeta(z) is strictly increasing in the firm’s normalized price z. Under this condition, markup rates and pass-through rates vary endogenously with competitive pressure, and strategic complementarity in price setting arises.

Marshall’s Third Law of Demand (as used in the paper): The condition, defined by Matsuyama and Ushchev (2023b), that the rate of increase in the price elasticity is decreasing in z. This law determines how the pass-through rate responds to concentration changes and is the relevant condition for structural flattening under Calvo pricing.

Pass-through rate rho(z): The fraction of a cost change that a monopolistically competitive firm passes through to its price under flexible pricing, defined as rho(z) = [1 - dln(zeta/(zeta-1))/dln(z)]^(-1). Under CES, rho = 1 (complete pass-through); under the Second law, rho < 1 (incomplete pass-through); it declines with concentration under the Third law.

Endogenous cost-push shock: The direct effect of changes in the endogenous number of firms N_t on inflation in the NKPC, arising from strategic complementarity in price setting under HSA. This term is absent under CES (where the coefficient is zero) and generates an omitted variable bias in naive regressions of inflation on marginal cost.

Steady-state (structural) flattening: The reduction in the true structural slope of the NKPC caused by market concentration operating through lower price elasticity (Rotemberg channel) or lower pass-through rate (Calvo channel). This is the first of the paper’s two reasons for observed Phillips curve flattening.

Observational (omitted variable bias) flattening: The downward bias in empirically estimated NKPC slopes arising because naive regressions omit the endogenous cost-push shock term. The bias is negative and is amplified by greater market concentration under the Third law and/or Second law depending on the pricing mechanism.

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.