Joseph L Gastwirth
Biographic Data
| ID | 1192166 |
|---|---|
| NAME | Joseph L Gastwirth |
| GIVEN NAMES | Joseph L |
| FAMILY NAME | Gastwirth |
| SIGNATURE | GASTWIRTH J L |
| AFFILIATIONS | George Washington University |
| ORCID | 0000-0002-0760-2739 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1972 |
| LATEST PUBLICATION YEAR | 2015 |
| H-INDEX | 1 |
Screening and Selection
Understanding the Factors Underlying Disparities in Cancer Screening Rates Using the Peters-Belson Approach
BACKGROUND: Cancer screening rates vary substantially by race and ethnicity. We applied the Peters-Belson approach, often used in wage discrimination studies, to analyze disparities in cancer screening rates between different groups using the 1998 National Health Interview Survey. METHODS: A regression model predicting the probability of getting screened is fit to the majority group and then used to estimate the expected values for minority group…
Changepoint Tests Designed for the Analysis of Hiring Data Arising in Employment Discrimination Cases
When a complaint of discrimination is made, an employer may respond by hiring more minorities. From a legal viewpoint, the practices in effect during the time period prior to the complaint are more relevant for determining liability than those of the postcharge period. In Gay vs. Waiters, the trial judge observed that the data suggested that a change occurred after the charge was filed. Because the data had not been subject to a formal statistica…
The Use of Diversity Analysis to Assess the Relative Influence of Factors Affecting the Income Distribution
This article uses diversity measures based on quadratic entropy to analyze the relative effects of factors such as age, sex, and education on the income distribution. In particular, sex appears to be as important as education in explaining the overall income inequality in the data collected by the U.S. Bureau of the Census. An advantage of the diversity measures is that they possess a decomposition of the total inequality into between-group and w…
Large Sample Theory for the Bounds on the Gini and Related Indices of Inequality Estimated From Grouped Data
The joint asymptotic distribution of the upper and lower bounds for the Gini index derived by Gastwirth for grouped data are obtained. From them a conservative asymptotically distribution-free confidence interval for the population Gini index is presented. The methods also yield similar results for other indices of inequality (e.g., Theil's and Atkinson's)
Short Communications
Vinod ( 1 985) recently noted that there was room for additional measures to compare two distribution funcLl [F(,x-) G(x)] day tions and introduced a new concept-economic advantage-that could be defined over either a small range of the income curve or the whole range (the + 1 G ) ) 1 F ) ] d (2) overall economic advantage; OEA). He then developed a statistical methodology for estimating these measures which from ParZen (1960, p. 21 1) is and appl…
Statistical Methods for Analyzing Claims of Employment Discrimination
This paper shows that in several recent EEO cases, lawyers and the courts have not used as powerful a statistical test of discrimination as they could have. The author describes two methods for combining into a single measure the results of statistical analysis of each of several data sets common in EEO cases, such as the hiring or promotion rates of minorities and majorities in each of several occupations in a company. He argues that these metho…
The Estimation of the Lorenz Curve and Gini Index
M OST of the measures of income inequality are derived from the Lorenz curve; indeed Morgan (1962) states that the Gini index is the best single measure of inequality. The present article reviews some of the theoretical properties of the Lorenz curve, relates them to characteristics of the frequency function underlying the income distribution and develops methods for obtaining accurate bounds on the Gini index which do not depend on curve fitting…
Statistical Methods for Analyzing Claims of Employment Discrimination
This paper shows that in several recent EEO cases, lawyers and the courts have not used as powerful a statistical test of discrimination as they could have. The author describes two methods for combining into a single measure the results of statistical analysis of each of several data sets common in EEO cases, such as the hiring or promotion rates of minorities and majorities in each of several occupations in a company. He argues that these metho…
The Estimation of the Lorenz Curve and Gini Index
M OST of the measures of income inequality are derived from the Lorenz curve; indeed Morgan (1962) states that the Gini index is the best single measure of inequality. The present article reviews some of the theoretical properties of the Lorenz curve, relates them to characteristics of the frequency function underlying the income distribution and develops methods for obtaining accurate bounds on the Gini index which do not depend on curve fitting…
Statistical Methods for Analyzing Claims of Employment Discrimination
This paper shows that in several recent EEO cases, lawyers and the courts have not used as powerful a statistical test of discrimination as they could have. The author describes two methods for combining into a single measure the results of statistical analysis of each of several data sets common in EEO cases, such as the hiring or promotion rates of minorities and majorities in each of several occupations in a company. He argues that these metho…
Short Communications
Vinod ( 1 985) recently noted that there was room for additional measures to compare two distribution funcLl [F(,x-) G(x)] day tions and introduced a new concept-economic advantage-that could be defined over either a small range of the income curve or the whole range (the + 1 G ) ) 1 F ) ] d (2) overall economic advantage; OEA). He then developed a statistical methodology for estimating these measures which from ParZen (1960, p. 21 1) is and appl…
Large Sample Theory for the Bounds on the Gini and Related Indices of Inequality Estimated From Grouped Data
The joint asymptotic distribution of the upper and lower bounds for the Gini index derived by Gastwirth for grouped data are obtained. From them a conservative asymptotically distribution-free confidence interval for the population Gini index is presented. The methods also yield similar results for other indices of inequality (e.g., Theil's and Atkinson's)
The Use of Diversity Analysis to Assess the Relative Influence of Factors Affecting the Income Distribution
This article uses diversity measures based on quadratic entropy to analyze the relative effects of factors such as age, sex, and education on the income distribution. In particular, sex appears to be as important as education in explaining the overall income inequality in the data collected by the U.S. Bureau of the Census. An advantage of the diversity measures is that they possess a decomposition of the total inequality into between-group and w…
Changepoint Tests Designed for the Analysis of Hiring Data Arising in Employment Discrimination Cases
When a complaint of discrimination is made, an employer may respond by hiring more minorities. From a legal viewpoint, the practices in effect during the time period prior to the complaint are more relevant for determining liability than those of the postcharge period. In Gay vs. Waiters, the trial judge observed that the data suggested that a change occurred after the charge was filed. Because the data had not been subject to a formal statistica…
Understanding the Factors Underlying Disparities in Cancer Screening Rates Using the Peters-Belson Approach
BACKGROUND: Cancer screening rates vary substantially by race and ethnicity. We applied the Peters-Belson approach, often used in wage discrimination studies, to analyze disparities in cancer screening rates between different groups using the 1998 National Health Interview Survey. METHODS: A regression model predicting the probability of getting screened is fit to the majority group and then used to estimate the expected values for minority group…
Screening and Selection
Mathematics (7 works) · Statistics (7 works) · Econometrics (6 works) · Economics (5 works) · Inequality (4 works) · Computer Science (3 works) · Economic inequality (3 works) · Income, Poverty, and Inequality (3 works) · Mathematical analysis (3 works) · Actuarial science (2 works)