Is Your Inflation Different?
Not everyone experiences the same inflation. What does that mean for monetary policy?
"There is no such thing as 'the' inflation rate," says Greg Kaplan of the University of Chicago, whose research has explored price dispersion for goods and services. "The economy is made up of billions of prices, all moving differently."
Economists have long been aware that groups might face different inflation rates because of different consumption patterns. Several studies have attempted to measure this by creating separate market baskets based on household characteristics, such as age, income, or education. A 2005 article by Bart Hobijn of the San Francisco Fed and Arizona State University and David Lagakos of Boston University found that household inflation rates varied substantially around the reported CPI numbers from 1987 through 2001. This variation was mostly driven by higher inflation rates for education, health care, and gasoline, which made up different shares of household budgets. For example, older households experienced higher inflation because of their higher health care expenses, as did lower-income households because they are more sensitive to changes in gas prices.
Households could also be experiencing different inflation because they pay different prices for the same types of goods and services. More recently, economists have been able to use richer price datasets collected from retail stores with price scanners to study how much people actually pay for things. In a 2017 article in the Journal of Monetary Economics, Kaplan and Sam Schulhofer-Wohl of the Chicago Fed used price scanner data collected from 500 million transactions from 2004 through 2013 to estimate household inflation differences. They found that the annual inflation households experienced varied by as much as 9 percentage points, and most of that variation was driven by the households paying different prices for the same goods. In Kaplan and Schulhofer-Wohl's sample, this resulted in households earning less than $20,000 a year experiencing higher inflation than those making more than $100,000 a year.
There are several other reasons why low- and high-income households might pay different prices for the same types of goods. A 2021 paper by David Argente of Pennsylvania State University and Munseob Lee of the University of California, San Diego found that higher-income households were better able to substitute away from goods with increasing prices during the Great Recession, reducing the inflation they experienced compared to lower-income households.
This could have been facilitated by a greater array of choices for products available to high-income households. A 2019 article in the Quarterly Journal of Economics by Xavier Jaravel of the London School of Economics and Political Science found that from 2004 to 2015, there was greater innovation and competition in products catering to high-income households than low-income ones. He argued that this kept prices for those products down, allowing high-income households to experience lower inflation.
Do These Differences Matter?
These studies clearly point to the fact that inflation varies across households. How might that matter for policymakers?
The answer partly depends on how persistent these differences are. For example, if low-income households always experience higher inflation than high-income households, that would mean that the income inequality gap is actually growing faster than aggregate inflation measures would suggest. And if older households always experience higher inflation than younger households because of medical expenses, then cost-of-living adjustments based on overall CPI to programs like Social Security could be undershooting the needs of recipients.
But many of the studies that found evidence of household inflation differences also found that those differences weren't persistent. In their 2005 article, Hobijn and Lagakos found that a household that experienced higher-than-average inflation in one year didn't necessarily experience it in the next year. And in a 2009 paper with co-authors, Hobijn also found that most characteristics like income or age were poor predictors of how much inflation a household would experience. Inflation varied more within groups of households than across groups. Kaplan and Schulhofer-Wohl came to similar conclusions in their 2017 study.
"Household inflation differences do not tend to accumulate over time, except for households that spend a significant part of their income on tuition and medical care," says Hobijn.
As a result, household-specific inflation indexes tend to follow aggregate measures like the CPI or PCE over the long run.
Still, even short-term inflation differences across households could matter when there is a sudden, unexpected change in inflation. For example, it is well-known that an unexpected spike in inflation redistributes wealth from lenders to borrowers, since borrowers can pay back their debts with money that is worth less than when they took out the loan. If certain groups of households tend to experience higher inflation at any given time, then they could also be more exposed to a sudden change in prices.
"What Does the FOMC's Shift in Fed Funds Rate Target Language Mean?" Economic Brief No. 21-22, July 2021
"Price Dispersion When Stores Sell Multiple Goods," Economic Quarterly, Second Quarter 2016
Similar to Jaravel's finding, Javier Cravino and Andrei Levchenko of the University of Michigan and Ting Lan of the International Monetary Fund documented in a 2020 article in the Journal of Monetary Economics that the prices for goods consumed by high-income households tend to be "stickier," meaning they don't change as much as the prices for things consumed by middle-income households. This would insulate higher-income households from an unexpected spike in inflation. Additionally, households that own their homes might also be better insulated from inflation shocks than renters, since the interest rates on many mortgages are fixed and don't change if other rates in the economy go up. This would also tend to favor wealthier households.
At the same time, other studies point to ways that some poorer households may also be able to insulate themselves from unexpected inflation. A pair of articles in March 2015 and October 2015 found that unemployed individuals experienced lower inflation than workers, on average. This seems to be because they were able to allocate more time to visiting a variety of stores in search of the lowest prices.
Implications for the Fed
What should monetary policymakers make of household inflation differences? The FOMC has explicitly stated that it views the Fed's price stability mandate from Congress as a long-run goal.
"The inflation rate over the longer run is primarily determined by monetary policy, and hence the Committee has the ability to specify a longer-run goal for inflation," the FOMC wrote in its statement on longer-run goals and monetary policy strategy, last affirmed in January 2021.
On one hand, given this long-run view, it makes sense for policymakers to focus on aggregate measures of inflation for the whole economy that strip out as much short-run variability as possible, like core PCE. The New York Fed has developed an Underlying Inflation Gauge specifically to try and track movements of persistent inflation in the economy. Likewise, the Atlanta Fed created a sticky-price CPI composed of a basket of goods that change prices rarely in order to measure the underlying, long-run inflation trend.
On the other hand, if households experience different levels of inflation, that could influence the effectiveness of any monetary policy changes the Fed makes. For instance, Cravino, Lan, and Levchenko noted in their article that because the prices of goods consumed by high-income households are stickier, their response to a monetary policy shock will be lower than the response of middle-income households.
Surveys have also often demonstrated that many households misestimate the level of inflation in the economy as measured by the CPI or PCE. This has sometimes been interpreted as households simply being uninformed. But in their 2017 article, Kaplan and Schulhofer-Wohl theorized that if households are in fact facing different levels of inflation, it could explain why they don't pay much attention to aggregate inflation measures. That could make it challenging for the Fed to use monetary policy to steer inflation across the entire economy.
"When the dispersion of inflation rates across households is large, it seems challenging for the Fed to be able to fine-tune average inflation," says Kaplan.
Differences in experienced inflation also feed into different expectations for future inflation, complicating the Fed's job of trying to keep long-run expectations anchored near its 2 percent target.
Finally, broad price indexes like the CPI and PCE that are slow to adjust to changes in consumer behavior can send the wrong signals to policymakers in times of crisis. As Cavallo's 2020 paper on the COVID-19 lockdown suggests, inflation in the United States was moderately higher than aggregate measures indicated at the time. Jaravel and Martin O'Connell of the Institute for Fiscal Studies had similar findings in a 2020 article that looked at inflation in the United Kingdom during the pandemic.
The Fed has shown an interest in learning more about the variation in household inflation rates. In 2015, the Chicago Fed created the Income Based Economic Index to measure inflation rates for different socioeconomic and demographic groups. The market baskets for each group were constructed using the BLS Consumer Expenditure Survey data. Overall, the Chicago Fed found few persistent differences across groups, although older households experienced somewhat higher inflation, while lower-income and lower-education households experienced inflation that was more variable.
The Fed's new monetary policy framework places greater emphasis on the varying employment experiences of different groups, declaring its maximum employment mandate a "broad-based and inclusive goal." The new framework doesn't describe the Fed's inflation goal in that way, but it is possible that policymakers may also take an increased interest in studying how different groups experience inflation.
READINGS
Cavallo, Alberto. "Inflation with Covid Consumption Baskets." Harvard Business School Working Paper No. 20-124, October 2020.
Cravino, Javier, Ting Lan, and Andrei A. Levchenko. "Price Stickiness Along the Income Distribution and the Effects of Monetary Policy." Journal of Monetary Economics, April 2020, vol. 110, pp. 19-32. (Article available with subscription.)
Hobijn, Bart, and David Lagakos. "Inflation Inequality in the United States." Review of Income and Wealth, December 2005, vol. 51, no. 4, pp. 581-606. (Article available with subscription.)
Jaravel, Xavier. "The Unequal Gains from Product Innovations: Evidence from the U.S. Retail Sector." Quarterly Journal of Economics, May 2019, vol. 134, no. 2, pp. 715-783. (Article available with subscription.)
Kaplan, Greg, Guido Menzio, Leena Rudanko, and Nicholas Trachter. "Relative Price Dispersion: Evidence and Theory." American Economic Journal: Microeconomics, August 2019, vol. 11, no. 3, pp. 68-124. (Article available with subscription.)
Kaplan, Greg, and Sam Schulhofer-Wohl. "Inflation at the Household Level." Journal of Monetary Economics, November 2017, vol. 91, pp. 19-38. (Article available with subscription.)
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