Six Month Lag

Inflation, finance, economics.

Estimating one year inflation centered on the current month rather than six months prior

Media discussions of inflation releases like this one or this one highlight one year and one month percentage changes in prices. The one year figure is stale: half of it reflects economic developments that are over six months old. The one month figure is up to date but too volatile to be useful.

What we would like is a one year percentage change centered over the current period, but naturally that won’t be available for another six months. However, we can estimate that figure with annualized percentage changes taken over various lags. The best estimate for one year centered inflation turns out to be six or seven months long. Here’s the first chart measuring the errors for various lags: we want errors to be low:

For both 1959-2023 and a subset of that era when inflation fluctuated a lot, annualized six month lagged percentage changes approximated one year centered inflation best. One month inflation annualized inflation produces errors about 2 and a half times as high. The one year lagged percentage change, emphasized in most inflation reports, has higher errors than any lag between 4 and 11 months.

Memo to reporters: calculate the annualized 6 month lagged percentage change! And download my paper! The next post will discuss annualization in greater detail and provide a formula.

Edit April 20, 2025: update with latest version of paper.

 


First post: six month lag

Glasses on Calendar

Greetings and welcome to Six Month Lag, a blog focusing on inflation, finance, and economics. I started the blog to promote my paper, Forecasting the Present: Optimal Lags for Contemporaneous Core PCE Inflation. The optimal lag for nowcasting core PCE inflation turned out to be 6 or 7 months at the time of this post. I make no promises regarding what future research will show for other time series. That said, the internet appendix to my paper shows that the six month annualized percentage change has lowest errors relative to centered one year inflation for headline CPI, core CPI, and unadjusted PCE inflation as well. So I am hopeful that I won’t have to change my website name.

Here’s a summary of the paper:

Percentage changes bracketing a given date gauge current inflation best but can only be measured retrospectively. Geometrically annualized percentage changes over the previous 6 or 7 months provide the best timely approximation of underlying core PCE inflation according to a range of criteria. Decimal lags permit the optima to be stated with greater precision. Trend smoothing can be evaluated by measuring reversals in trend. Probabilistic modeling of inflation’s level and direction can be conducted using estimates of the error’s variance and kurtosis. A review of Federal Reserve statements during the COVID and post-COVID era suggests that greater focus on geometrically annualized 6 month percentage changes could have provided earlier warning of incipient inflation.

Future posts will march through some of the points of the paper in a conversational style. I also plan occasional commentary on monthly inflation data releases.

April 20, 2025: Replace with latest version of paper and appendix.