Description
Label one supplied regression-score contribution by cluster.
Econometric calculations separate supplied residuals, regressors, weights, restrictions, panel groups and reference periods. One score or moment contribution is not a fitted estimator, and one scalar covariance term is not a standard error. Unit rescaling and event-time arithmetic preserve conventions without establishing model identification or causal interpretation.
Label one supplied regression-score contribution by cluster.
When to use this tool
Use Clustered Score Single Observation Contribution when you already have clusterId, regressor, residual and need to label one supplied regression-score contribution by cluster.
How to use the tool and how it works
- Enter clusterId, regressor, residual. Use the units and conventions below.
- Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
- Read clusterId, scoreContribution. Use the output convention below.
Require clusterId nonempty; return that ID and regressor*residual.1
| Input field | Meaning and units | Accepted input |
|---|---|---|
| clusterId | Cluster Id | Required. Text; minimum UTF-16 length 1; maximum UTF-16 length 8192. |
| regressor | Regressor | Required. Finite number. |
| residual | Residual | Required. Finite number. |
| Output field | Interpretation | Returned shape |
|---|---|---|
| clusterId | Cluster Id | Required. Text; maximum UTF-16 length 8192. |
| scoreContribution | Score Contribution | Required. Finite number. |
{
"input": {
"clusterId": "G17",
"regressor": 2,
"residual": 3
},
"output": {
"clusterId": "G17",
"scoreContribution": 6
}
}Limitations and assumptions
- No observations are grouped or cluster scores summed. This does not construct clustered covariance, check independent clusters or estimate a standard error.
- Inputs must satisfy both the field types and the cross-field conditions above. Invalid input causes an error; a successful false flag or documented placeholder is a different result.
- Numeric calculations use binary floating point unless exact decimal-integer arithmetic is explicitly stated. No hidden measurement tolerance or decimal rounding is added; nonfinite or out-of-contract results are rejected. Numeric signed-zero results are exported as zero.
Alternative or Complementary methods
Fit and evaluate the full specified model with appropriate data, grouping and uncertainty treatment for inference. Aggregate the required score/moment terms and use the complete covariance calculation; a local residual, cutoff flag or supplied coefficient transformation does not validate the estimator.
References
Similar or alternative tools
- Weighted Regression Single Score Term
Calculate one weighted regression score contribution.
- Heteroskedasticity Robust Meat Row
Calculate one scalar squared weighted-score contribution for a robust-covariance calculation.