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Marco Del Negro
Michele Lenza
Head of Section · Research, Monetary Policy Research
Giorgio Primiceri
Andrea Tambalotti
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  • 17 September 2020

Why has inflation in the United States been so stable since the 1990s?

By Marco Del Negro, Michele Lenza, Giorgio Primiceri and Andrea Tambalotti[1]

The analysis of inflation dynamics and their possible changes over time is a key input in the design of monetary policy, particularly in the context of the strategy reviews recently undertaken by the Federal Reserve System and currently under way at the European Central Bank and other central banks. In this article, we study the causes of the stability of US inflation over the business cycle since the 1990s. We conclude that it is mainly due to a reduced sensitivity of firms’ pricing decisions to their cost pressures. Ignoring this observation could impair the ability of monetary policy to steer inflation toward its objective.

Inflation has become insensitive to the business cycle

US inflation used to rise during economic booms, as businesses charged higher prices to cope with increases in wages and other costs. When the economy cooled and joblessness rose, inflation declined. This pattern changed around 1990. Since then, US inflation has remained remarkably stable, even though economic activity and unemployment have continued to fluctuate. For example, shortly after the Great Recession, the unemployment rate reached 10%, but inflation barely dipped below 1%, leading many economists to look for the “missing deflation” (e.g. Ball and Mazumder, 2011). More recently, with unemployment below 5% for almost four years and inflation persistently under 2%, attention turned to explaining what is holding inflation back (e.g. Powell, 2019, Yellen, 2019). Other economies, such as the euro area, have also experienced similar patterns (see, for example, Constâncio, 2015, Bobeica and Jarocinski, 2017 and Eser et al. 2020).

Is the stability of US inflation due to changes in the functioning of labour markets, a flatter Phillips curve, or improved monetary policy?

What explains the emergence of this disconnect between inflation and unemployment? Economists have explored three main classes of explanations.

  1. The functioning of labour markets has changed in the last three decades, making unemployment a poorer indicator of both the degree of resource under-utilisation in the economy (sometimes referred to as “economic slack”) and of the cost pressures faced by firms.
  2. Firms’ pricing decisions have become less sensitive to these cost pressures. In economic jargon, this phenomenon corresponds to a flattening of the so-called Phillips curve – a relationship capturing the fact that a boost in production typically pushes up the cost of production inputs, and thus leads to higher output prices.
  3. Policy has become more successful in stabilising inflation (McLeay and Tenreyro, 2019).

In this article, we discuss the relative merit of these three explanations based on evidence from a combination of state-of-the-art macro-econometric techniques.[2] The bulk of this empirical evidence points towards the second explanation – a flatter Phillips curve due to the reduced sensitivity of firms’ pricing decisions to their cost pressures – as the main driver of inflation stability. In terms of policy, this finding implies that inflation has become harder to steer, unless monetary authorities systematically take into account the flattening of the Phillips curve. Not surprisingly, the analysis of the “health” of this relationship has taken centre stage in the strategic review recently undertaken by the  Federal Reserve System, as highlighted by Chair Powell in his Jackson Hole speech, and currently under way at the European Central Bank and other central banks.

Our findings

Our analysis starts by illustrating how several US macroeconomic variables typically co-move over business cycle expansions and recessions. In particular, in the underlying paper, we document that the behaviour of various measures of economic slack and cost pressures – such as GDP, the unemployment rate, hours worked, and businesses’ cost per unit produced (unit-labour costs) – is similar before and after 1990. In contrast, inflation has become insensitive to business cycle fluctuations. Together, these two facts suggest that the stability of inflation over the past thirty years is not due to a break in the cyclical behaviour of any specific measure of slack or cost pressures. This observation rules out changes in the functioning of labour markets as a leading explanation for the inflation-business cycle disconnect.

This leaves us with two possible explanations on the table, a flatter Phillips curve and improved monetary policy. We discriminate between them by studying the effects of sudden changes in the economy-wide demand for goods and services – or, more precisely, of unanticipated demand shocks. Monetary policy can limit their impact on inflation by “leaning against the wind”, that is, by counteracting their effects on economic activity as well. Therefore, if improved monetary policy is behind inflation stability, these demand shocks should have minor effects both on inflation and unemployment after 1990. On the contrary, if inflation stability is due to limited sensitivity of prices to cost pressures and a flatter Phillips curve, demand shocks would continue to have a large impact on unemployment, although not on inflation.

Figure 1: Response of unemployment and inflation to a demand shock

Note: Impulse response of the unemployment rate (left panel), core PCE inflation (middle panel) and PCE inflation (right panel) to a demand shock of the same size in the pre-1990 sample (blue) and post-1990 sample (red). The solid lines are posterior medians, while the shaded areas correspond to 68% and 95% posterior credible regions.

Figure 1 plots the responses of unemployment and inflation to a demand shock before and after 1990.[3] The last two panels show that the response of inflation to demand shocks has indeed become significantly more muted since 1990. As for unemployment, its response appears to have been attenuated in the first few quarters but it has also become more persistent, leading to a larger cumulative effect over a five-year horizon.

These empirical results are consistent with the common narrative behind the Great Recession. Although its origins are complex, most observers agree that the recession was mostly associated with a collapse in demand due to the credit tightening brought about by the preceding financial crisis. If this analysis is correct, the fact that economic activity collapsed while inflation did not fall substantially suggests that the Phillips curve must be flat. This flattening of the Phillips curve is also what we find by estimating the New York Fed DSGE model before and after 1990.[4]

What’s next in terms of research in this area?

Investigating the deeper forces behind the flattening in the Phillips Curve is outside the scope of our analysis and it is still an open question in the specialised literature. The most prominent hypothesis attributes the reduced responsiveness of prices to cost pressures to the increased relevance of global supply chains, heightened international competition, and other effects of globalisation (e.g. Sbordone, 2007; Forbes, 2019). Understanding this further is of first order importance for central banks, and it is expected to be the focus of intensive research efforts going forward.


Ball, L. and Mazumder, S. (2011): “Inflation dynamics and the Great Recession”, Brookings Papers on Economic Activity, Vol. 42, pp. 337-405.

Bobeica, E. and Jarocinski, M. (2019): “Missing disinflation and missing inflation: a VAR perspective”, International Journal of Central Banking, Vol. 15, pp. 199-232.

Constâncio, V. (2015): “Understanding inflation dynamics and monetary policy”, Speech delivered at the Jackson Hole symposium, Federal Reserve Bank of Kansas City.

Del Negro, M., Giannoni, M., and Schorfheide, F. (2015): “Inflation in the Great Recession and New Keynesian models”, American Economic Journal: Macroeconomics, Vol. 7, pp. 168-196.

Del Negro, M., Lenza, M., Primiceri, G. and Tambalotti, A. (2020): “What’s up with the Phillips Curve”, ECB Working Paper Series, No 2435, forthcoming in the Brookings Papers on Economic Activity.

Eser, F., Karadi, P., Lane, P., Moretti, L. and Osbat, C. (2020): “The Phillips Curve at the ECB”, ECB Working Paper Series, No 2400.

Forbes, K. (2019): “Inflation Dynamics: Dead, Dormant, or Determined Abroad?” NBER Working Papers, No 26496.

Gilchrist, S. and Zakrajsek, E. (2012): “Credit Spreads and Business Cycle Fluctuations”, American Economic Review, Vol. 102, pp. 1692-1720.

McLeay, M. and Tenreyro, S. (2019): “Optimal Inflation and the Identification of the Phillips Curve”, NBER Macroeconomics Annual 2019, Vol. 34.

Powell, J. H. (2019): “Challenges for Monetary Policy”, Speech delivered at the "Challenges for Monetary Policy" symposium, Federal Reserve Bank of Kansas City, Jackson Hole, Wyoming.

Sbordone, A. (2007): “Globalization and Inflation Dynamics: The Impact of Increased Competition,” in International Dimensions of Monetary Policy, National Bureau of Economic Research, pp. 547-579.

Yellen, J. (2019): Remarks delivered at a public event, "What's (not) up with inflation?" hosted by the Hutchins Center on Fiscal & Monetary Policy at Brookings.

  1. This article was written by Marco Del Negro (Federal Reserve Bank of New York), Michele Lenza (European Central Bank, Directorate General Research), Giorgio Primiceri (Northwestern University) and Andrea Tambalotti (Federal Reserve Bank of New York). It is based on the ECB Working Paper no. 2435, “What’s up with the Phillips Curve?”. The authors gratefully acknowledge the comments of Michael Ehrmann, Alberto Martin, Louise Sagar and Zoë Sprokel. The views expressed here are those of the authors and do not necessarily represent the views of the European Central Bank, the Eurosystem, the Federal Reserve Bank of New York and the Federal Reserve System.
  2. More specifically, we use Vector Autoregressive models (VARs), Structural VARs and Dynamic Stochastic General Equilibrium (DSGE) models, which are among the most popular time-series tools in macroeconomics.
  3. We identify demand shocks as movements in Gilchrist and Zakrajsek’s (2012) excess bond premium (EBP) that are independent from the other variables in the model. These “EBP shocks” act as demand shocks because when credit is tight investment falls, reducing aggregate demand and generating further reactions in the economy that also lead to lower labour demand, lower wages, lower income, and ultimately lower inflation.
  4. DSGE models such as that used at the New York Fed describe the details of the behaviour of all agents in the economy – including households, firms and monetary authorities – and derive the resulting macroeconomic relationships, which typically also include a Phillips curve.