statsmodels.regression.recursive_ls.RecursiveLSResults.cusum¶
- RecursiveLSResults.cusum¶
Cumulative sum of standardized recursive residuals statistics
- Returns:¶
- cusumarray_like
An array of length nobs - k_exog holding the CUSUM statistics.
Notes
The CUSUM statistic takes the form:
\[W_t = \frac{1}{\hat \sigma} \sum_{j=k+1}^t w_j\]where \(w_j\) is the recursive residual at time \(j\) and \(\hat \sigma\) is the estimate of the standard deviation from the full sample.
Excludes the first k_exog datapoints.
Due to differences in the way \(\hat \sigma\) is calculated, the output of this function differs slightly from the output in the R package strucchange and the Stata contributed .ado file cusum6. The calculation in this package is consistent with the description of Brown et al. (1975)
References
Last update:
Dec 16, 2024