Haver Analytics
Haver Analytics
Global| Jan 09 2020

The "Real" Phillips Curve Is Not Flat

Summary

Jerome Powell, Chairman of the Federal Reserve, has stated that the relationship between unemployment and inflation “was a strong one 50 years ago…. and has gone away". This relationship, called the Phillips Curve, now has disappeared [...]


Jerome Powell, Chairman of the Federal Reserve, has stated that the relationship between unemployment and inflation “was a strong one 50 years ago…. and has gone away". This relationship, called the Phillips Curve, now has disappeared according to the Fed view.

Contrary to Powell's assertion, the "real" Phillips curve is not flat, but the appearance of a “flatter" relationship between prices and wages is largely due to a technical change in the measurement of housing prices, the single most important item in the inflation index.

In 1998, the Bureau of Labor Statistics (BLS) made a technical change in the measurement of owner-occupied housing. Because of an inadequate and declining sample of owner-occupied housing, BLS statisticians felt the process was “time-consuming" and “futile" as it could no longer provide a consistent and accurate reading of housing costs from the owner-occupied units.

So the remedy, according to BLS, was to drop the owner-housing sample. They instead linked the price data from the rental market to owner-occupied market, even though the two markets are fundamentally separate.

At the time, there was little reaction or opposition from the technical change for the simple reason no one knew, perhaps even the statisticians at BLS, what the new measurement would eventually show in real time.

Yet, in hindsight, the impact of the change should have been obvious to all parties since the change involved replacing a house price series that accelerates during economic growth cycles with a rental series that does not. In reality, the technical change had the effect of “flattening" reported consumer price inflation.

Why is this important?

First, before declaring the Phillips curve relationship is gone, it is advisable to look at all of the factors that could be altering the relationship between prices and wages. Comparing inflation-to-inflation readings before and after 1998 is a non-starter due to materially different measures of housing inflation. The removal of the house price signal from reported inflation contributed to the breakdown of the Phillips curve for the simple reason it removed the single largest cyclical driver of consumer price inflation.

Second, companies use reported consumer price inflation, among other things, to help them gauge wage increases, so it's not surprising that there has been a close affinity between reported inflation and wage increases. To the extent the post-1998 measure of consumer price inflation rises less quickly than the older version, it would follow logically that wage growth would be slower as well, all else being equal. In other words, “flatter" reported inflation results in “flatter" wages so it theoretically takes even lower levels of unemployment to generate wage increases.

Third, reported consumer price inflation has a direct connection to policy rates, even more so since the introduction of an inflation-targeting regime to help guide monetary policy decisions. Policymakers have yet to acknowledge how the 1998 change in reported inflation and the direct link to official rates have impacted the economy and the financial markets in real time.

It's always difficult to prove causation but since 1998 there have been three asset price cycles - two involving unprecedented increases in equity prices relative to GDP and the other one centered in real estate prices. The occurrence of a single asset price spike could be considered a one-off, but three in a span of 20 years strongly suggests there is a cause and effect from monetary policy.

Policymakers have mistakenly misread the breakdown of the Phillips curve, resulting in prolonged loose monetary policy. The Phillips curve is not dead, but it changed it stripes. The most important price signals nowadays mainly flow through the asset markets, which from operational standpoint shift the focus of monetary policy towards financial/market stability and away from price stability.

Viewpoint commentaries are the opinions of the author and do not reflect the views of Haver Analytics.
  • Joseph G. Carson, Former Director of Global Economic Research, Alliance Bernstein.   Joseph G. Carson joined Alliance Bernstein in 2001. He oversaw the Economic Analysis team for Alliance Bernstein Fixed Income and has primary responsibility for the economic and interest-rate analysis of the US. Previously, Carson was chief economist of the Americas for UBS Warburg, where he was primarily responsible for forecasting the US economy and interest rates. From 1996 to 1999, he was chief US economist at Deutsche Bank. While there, Carson was named to the Institutional Investor All-Star Team for Fixed Income and ranked as one of Best Analysts and Economists by The Global Investor Fixed Income Survey. He began his professional career in 1977 as a staff economist for the chief economist’s office in the US Department of Commerce, where he was designated the department’s representative at the Council on Wage and Price Stability during President Carter’s voluntary wage and price guidelines program. In 1979, Carson joined General Motors as an analyst. He held a variety of roles at GM, including chief forecaster for North America and chief analyst in charge of production recommendations for the Truck Group. From 1981 to 1986, Carson served as vice president and senior economist for the Capital Markets Economics Group at Merrill Lynch. In 1986, he joined Chemical Bank; he later became its chief economist. From 1992 to 1996, Carson served as chief economist at Dean Witter, where he sat on the investment-policy and stock-selection committees.   He received his BA and MA from Youngstown State University and did his PhD coursework at George Washington University. Honorary Doctorate Degree, Business Administration Youngstown State University 2016. Location: New York.

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