September 11, 2024

US: August 2024 CPI

Table 1. Updated MoM (sa) UnderlyingInflation forecast errors in the last 6 months.

A PDF containing all relevant CPI charts has been posted. You can download it here.

Evidence from the distributions

Distribution, still unfriendly and not consistent with target. This month, the distribution is way more dispersed than the previous month (ridge plot here). The median (Figure 2) ticked up and remains volatile. Looking at Figure 1, however, the broad picture is unchanged: the distribution remains different than pre-Covid. Not only but in the last 9 months, the progress has been tiny. For this reason, as we wrote in previous notes, we remain careful in declaring victory or claiming that 2% is around the corner.

Figure 1. Kernel of CPI excluding food and energy items changes (MoM %, a.r.)

Note: the Figure shows the fitted Kernel (Epanechnikov) distribution of MoM percent changes at annual rate of CPI prices excluding food and energy items.

Figure 2.  Median (core) CPI metrics

Note: the Figure shows the median (MoM %, a.r.) of the distribution of CPI prices changes excluding food and energy items (left panel) and the YoY (right panel).

Evidence from our CI-C model

Our CI model estimates that net of Covid and idiosyncratic shocks, the common component remains above target. Figure 3 shows the decomposition of the MoM of core CPI in the “common” vs “idiosyncratic” component.  The model estimates that this month the common component increased by 22bps, while the idiosyncratic shock is positive (6bps). In other words, the model attributes some of the strength of core CPI to factors that are unlikely to persist. The 3m/3m of the “common” component (Figure 4) is at 2.7%. Overall, the evidence of the CI model suggests that the “true” underlying pace of the data remains above target.

Note: the results of our CI model in this moment explains well what is going on with the data. In June and July, we got low core CPI prints but we did not take much signal as the model was suggesting that the weakness was idiosyncratic. This month, we do the same although with the opposite sign.

Figure 3. Contributions to MoM changes of CPI excluding food and energy items (CI-C model)

Note: the Figure shows the decomposition of the MoM percent changes of CPI prices excluding food and energy items. The contributions are estimated using our CI-C model, a 2-stage OLS-LASSO regression model.

Figure 4. Estimated “Common” component: YoY, 3m/3m a.r. and 6m/6m a.r.

Note: the Figure shows the 3m/3m at annual rate (green line), the 6m/6m at annual rate (red line), and the YoY (blue line) of the “common component” estimated using our CI-C model.

Implications for the medium-term forecast of core PCE price inflation

The medium-term forecast is unrevised. Today’s data did not change our Q3 nowcast in core PCE space. We are working under the assumption that core PCE prices will grow 2.1% QoQ saar in Q3. Conditional on this, the model forecast is unrevised compared to the preview. The (Q4/Q4) model forecast is: 2.8% in 2024, 2.4% in 2025, and 2.4% in 2026.

Figure 5. “Main” Phillips curve model forecast, core PCE price inflation (YoY, %).

Note: the figure shows the latest run of our “main” Phillips curve model. The confidence intervals (C.I.) are estimated using quasi-out-of-sample methods (estimate the model over a sub-sample, forecast, and calculate the root mean squared forecast errors).

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