Summary
I've been working on a GDP nowcast over the last few months. Three models now, all pointing at a hot 2026 Q1. The rest of this post is about why I don't fully believe them.
I foreshadowed this work back in April with a Bridge model write-up. The Bridge has been refined since then. It now runs 13 bridges rather than the 7 in the April post (private capex and construction split out as their own bridges, the NAB conditions survey added, household spending brought in alongside the existing consumption bridge), and most of the within-quarter data is in. The remaining pieces, business profits and government final consumption, are out next Tuesday, one day before the national accounts. So this isn't quite the final pre-release nowcast, but it is close.
In addition to the Bridge model I now have a dynamic factor model (DFM) and a Bayesian Vector Auto-regression (BVAR) model. Three independent ways of producing a nowcast running on a similar input panel.
Here is where they land for 2026 Q1.
| Model | QoQ % | TTY % | 70% CI (QoQ) | 90% CI (QoQ) |
|---|---|---|---|---|
| Bridge | +0.82 | +2.96 | [+0.54, +1.12] | [+0.38, +1.30] |
| DFM | +0.86 | +3.01 | [+0.20, +1.53] | [−0.19, +1.92] |
| BVAR | +0.80 | +2.95 | [+0.22, +1.39] | [−0.12, +1.73] |
The three models agree on a print near +0.8 QoQ, roughly +3.0 TTY. The Bridge runs the narrowest band because it conditions on monthly indicators directly. The DFM and BVAR widen as expected given their factor and VAR formulations.