NUMBERS-EQUIVALENTS IN U.S. MANFACTURING INDUSTRIES: 1954, 1958, AND 1963
In this paper we have attempted to demonstrate--empirically--that entropy often will lead to inferences about concentration that differ from those encouraged by the concentration ratio. We have also attempted to show that even in the absence of the microeconomic data, accurate estimates of entropy are ordinarily obtainable from published grouped data, and when these estimates are translated into their associated numbers-equivalents, the result is a series of readily understood figures that offer a unique insight into market structure.
- Segmentation of electricity market for households in Slovenia. Bojnec, �tefan; Papler, Drago // Chinese Business Review;Jul2010, Vol. 9 Issue 7, p1
No abstract available.
- The Characterization of the Degree of Concentration in Agriculture Using the Gini Coefficient. Merce, Emilian; Merce, Cristian C.; Dumitras, Diana E. // Bulletin of the University of Agricultural Sciences & Veterinary;2010, Vol. 67 Issue 2, p150
It is emphasized that in order to characterize the degree of modernization of agrarian structures, several quantitative methods should be used. Nowadays, the average size is considered the most popular measure. It is highlighted that this measure is not sufficiently rigorous. Starting from this...
- A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data. // BMC Bioinformatics;2009, Vol. 10, p213
Background: Regularized regression methods such as principal component or partial least squares regression perform well in learning tasks on high dimensional spectral data, but cannot explicitly eliminate irrelevant features. The random forest classifier with its associated Gini...
- Recent Trends in Income and Wealth Inequality. Harding, Ann // Ecodate;May2002, Vol. 16 Issue 2, p4
Assesses the income and wealth inequality in Australia. Employment of Gini coefficient in the analysis; Distribution of superannuation and home equity; Importance of wealth inequality in determining the economic position of Australians. INSET: Student Activities.
- A new class of deprivation-based generalized Gini indices. Wang, You-qiang; Tsui, Kai-yuen // Economic Theory;2000, Vol. 16 Issue 2, p363
Summary. This paper attempts to merge two strands of the literature on relative deprivation and generalized Gini indices by designing a new class of generalized Gini indices based on the concept of relative deprivation. In this connection, rank-dependent marginal deprivation functions are...
- A LORENZ CURVE BASED INDEX OF INCOME STRATIFICATION. Warner, Geoffrey // Review of Black Political Economy;Winter2001, Vol. 28 Issue 3, p41
Focuses on the Lorenz Curve which is used to measure the degree of inequality in the distribution of income or wealth. Definition of the GINI coefficient.
- STATE VARIATIONS IN INCOME INEQUALITY: A MULTIPLE-EQUATION APPROACH. Stano, Miron // American Economist;Spring81, Vol. 25 Issue 1
Examines income distribution differentials in the United States through a three-equation model in which the Gini coefficient, mean family income and the labor participation are endogenous variables. Comparison of the obtained estimates using the two-stage least-squares with that of the...
- AN ECONOMIC ANALYSIS OF CHANGES IN THE RELATIVE SHAPE OF THE INTERSTATE SIZE DISTRIBUTION OF FAMILY INCOME DURING THE 1960'S. Nord, Stephen // American Economist;Fall84, Vol. 28 Issue 2
Examines the dynamics of the changes in the relative shape of the interstate size distribution of family income that occurred over the decade of the 1960s. Differences in Gini concentration ratio of family income in 1959 and 1969; Development of econometric model to describe how changes in...
- hey� What did I miss? // Institute of Public Affairs Review;Apr2012, Vol. 64 Issue 1, p4
Statistics are presented on several topics including most profitable companies by return on equity in the year 2011, Gini coefficient for total the U.S. population and taxed army versus real army.