2004/07/01 by David E. A. Giles · 1 citation
Economics, Econometrics and Finance · #Monetary Policy and Economic Impact #Economic theories and models #Financial Markets and Investment Strategies
paper · doi:10.1111/j.1468-0084.2004.00086.x
openalex publication_date 2004/07/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/05/21
Abstract Several authors have suggested using the jackknife technique to approximate a standard error for the Gini coefficient. It has also been shown that the Gini measure can be obtained simply from an artificial ordinary least square (OLS) regression based on the data and their ranks. We show that obtaining an exact analytical expression for the standard error is actually a trivial matter. Further, by extending the regression framework to one involving seemingly unrelated regressions (SUR), several interesting hypotheses regarding the sensitivity of the Gini coefficient to changes in the data are readily tested in a formal manner.