Über den Autor
Shlomo Yitzhaki received his B.A. in Economics and Statistics from The Hebrew University, and his M.A. in Economics Cum Laude and Ph.D. from The Hebrew University. He is currently Government Statistician at the Central Bureau of Statistics, Israel and Professor Emeritus, Dept. of Economics, at the Hebrew University, Jerusalem. Shlomo Yitzhaki was the recipient of the annual prize of the Israeli Data Processing Association in 1974 for the construction of a Tax Model. Besides significant public appointments with the Israeli government, he was a consutant at the World Bank and held visiting scholar positions at Harvard University, Falk Institute, and the Hoover Institution. Shlomo Yitzhaki has served on the board of many prominent economic journals including: Economics Bulletin, National Tax Journal, The Journal of Economic Inequality, Review of Income and Wealth, and European Journal of Political Economy.
Edna Schechtman received a B.Sc. in Mathematics and Statistics, Hebrew University of Jerusalem (1971); M.A. in Statistics, Hebrew university (1976); Ph.D. in Statistics, Ohio State University (1980). She is a professor of Statistics at Ben Gurion University, Israel. Her main research interests are in the field of measures based on the Gini index as well as in applied Statistics in various areas such as medicine, road safety, quality control and more. She published over 100 papers in the professional literature. Professor Schechtman was the president o
f the Israeli Statistical Association. She recently spent 6 months at Stern business school at NYU and one semester at the department of Statistics at Berkeley as a visiting scholar and is a frequent visitor of the department of Statistics at Texas A&M university.
Basic methodology based on Gini's Mean Difference.- Extended Gini.- Concentration Curves.- ANOGI.- Estimation and Testing.- Applications.
Divided into two sections, where the first is an explanation of the theory and the second shares important applications of the Gini methodology
New recommended Gini regression programs for Stata are available to help readers implement methodology in book
Demonstrates how readers may use Gini instead of variance for their research in the fields of statistics, economics, econometrics, and policy
Chapters are easily read by themselves or as part of the whole book