Data
Layer 1 answers: what source frame, target y, and predictor x universe does this study start from? Layer 0 fixes runtime policy. Layer 1 defines source data, forecast-time information, target y, and candidate predictor x columns.
Layer 1 contains canonical registry axes plus a small number of hidden
compatibility/helper selectors. The primary Navigator tree shows the
user-facing decisions; state_selection and sd_variable_selection are hidden
lower selectors used by FRED-SD helper resolution.
Group |
Axes |
Focus |
|---|---|---|
Data Source Mode / Frequency |
3 |
|
Forecast-Time Information |
3 |
|
Target (y) Definition |
1 |
|
Predictor (x) Definition |
1 |
|
FRED-SD Predictor Scope |
5 |
|
Raw Source Quality |
2 |
|
FRED Transform / Frame Availability |
3 |
|
The first Layer 1 decision is custom_source_policy:
official_only: choose a FRED Source Panel.custom_panel_only: provide a custom file path and analysis frequency; do not choose a FRED Source Panel.official_plus_custom: choose a FRED Source Panel and append custom columns.
Layer 1 does not choose model family, benchmark, researcher preprocessing, feature representation, or evaluation metrics. Those belong to Layer 2 and later.
Relation To Layer Contracts
Layer Contract Design (and architecture/) defines the current L0-L8 map. L1 fixes
the data task: source, target, predictor universe, geography, sample window,
horizons, and regimes. Layer 0 handles runtime policy plus derived manifest
metadata.
Operational Status
Kept in Layer 1:
data source mode, FRED source panel, analysis frequency;
data revision / vintage regime, publication lag, same-period x rule;
target y cardinality and predictor x universe;
FRED-SD predictor scope;
raw-source missing/outlier handling before official transforms;
FRED transform scope and frame availability.
Not owned by Layer 1:
Layer 2: raw-to-clean preprocessing.
Layer 3: feature engineering and target construction.
Layer 4: model fitting, forecasts, benchmarks, ensembles, and tuning.
Layer 5+: evaluation, statistical tests, interpretation, and output.
Data sources
Built-in FRED sources have dedicated recipe-author notes:
FRED-MD — monthly U.S. macro panel.
FRED-QD — quarterly U.S. macro panel.
FRED-SD — state-level mixed-frequency panel.
For column dictionaries see the
FRED datasets section under
for_researchers/.
For the consolidated Layer-1 data policies axis-by-axis, see
../data_policies.md.