RDP 2024-05: Sign Restrictions and Supply-demand Decompositions of Infation Appendix B: Additional Empirical Results

This appendix explores the robustness of the decomposition of aggregate PCE inflation in Section 4.2 to excluding the COVID-19 period from the estimation sample. The VARs are estimated using a sample that runs up to 2019:M12.[36] The estimated sets tend to be wider than those obtained using the full estimation sample (Figure B1). For the decomposition based on aggregate data, these wider sets reflect that the estimated value of ρ is substantially smaller (0.04) than in the full sample (0.18). It remains the case that the sets from the bottom-up decomposition are substantially wider than the sets obtained when using the aggregate data.

Figure B1: Contribution of Supply Shocks to PCE Inflation – Restricted Estimation Sample
Year-ended

						Figure B1: Contribution of Supply Shocks to PCE Inflation – Restricted Estimation Sample - A two-panel line chart plotting the contributions of supply shocks to year-ended PCE inflation over time. This is the same as Figure 8 except using an estimation sample that excludes the COVID-19 period. The top panel plots a 'bottom-up' decomposition. The bottom panel plots an aggregate decomposition. Both panels plot aggregate PCE inflation (after removing the contribution of deterministic terms) and the set of contributions of supply shocks (represented by shading). The set of contributions from the bottom-up decomposition is very wide and is much wider than the set obtained from the aggregate decomposition.

Note: Inflation is year-ended growth in PCE price index after removing contributions from constant and initial conditions.

Sources: Author's calculations; Bureau of Economic Analysis.

Footnote

Unlike the exercise in Section 4.2 based on the full sample of data, all category-level VARs are stable. There is consequently a (small) difference in coverage of the expenditure basket between Figures 8 and B1. [36]