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Placeholder inflation forecasting post

As I was puttering around the BEA's release of GDP data, I noticed that it included the most recent PCE inflation indexes too. However, it's quarterly, not monthly, so we have to wait until tomorrow for the March numbers.

Or do we? If we know the quarterly indexes from last year and the quarterly growth rate for 2023, and we know the January and February indexes for this year, then some simple arithmetic should give us the March number. Let's try it.

Quarterly index for Q1 2022 = 120.323

Annual growth = 4.9% (per today's BEA release)

Therefore quarterly index for Q1 2023 = 126.218

January index = 125.858

February index = 126.189

So: (125.858 + 126.189 + March) ÷ 3 = 126.218

March index = 126.609

February-March change = 0.33% = 4.0% annualized rate

If this is correct, the month-over-month PCE inflation figure for March was 4.0%. For core PCE it was 7.4%.

These numbers don't seem quite right to me. I wonder where I went wrong? In any case, I'm going to publish this post just to remind myself to take another look on Friday, when the official monthly figures are released

5 thoughts on “Placeholder inflation forecasting post

  1. skeptonomist

    Again, the PCE does not represent new information, it is just a different weighting of the CPI data. Maybe if the BLS used AI it could compute the PCE faster and get it out at the same time as the CPI.

    1. skeptonomist

      If there is investment and there are well-paying jobs, the workers will be found. In WW II women became riveters, electricians and all kinds of other moderately technical workers that were required for things like aircraft construction. The prime-age employment ratio (FRED:LNS12300060) is still below what it was in 2000.

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