George Woodworth
Biographic Data
| ID | 5989283 |
|---|---|
| NAME | George Woodworth |
| GIVEN NAMES | George |
| FAMILY NAME | Woodworth |
| SIGNATURE | WOODWORTH G |
| AFFILIATIONS | University of Iowa |
| VERIFIED | No |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 4 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1980 |
| LATEST PUBLICATION YEAR | 2004 |
| H-INDEX | 1 |
Hierarchical Models for Employment Decisions
Federal law prohibits discrimination in employment decisions against persons in certain protected categories. The common method for measuring discrimination involves a comparison of some aggregate statistic for protected and non-protected individuals. This approach is open to question when employment decisions are made over an extended time period. We show how to use hierarchical proportional hazards models (Cox regression models) to analyze such…
Equal Justice and the Death Penalty
Design and Analysis of Simulated Consumer Choice or Allocation Experiments
The authors integrate concepts in conjoint analysis and discrete choice theory in econometrics to develop a new approach to the design and analysis of controlled consumer choice or resource allocation experiments. The article is concerned with estimating the parameters of conjoint-type functions from discrete choice or allocation data. Emphasis is placed on the multinomial logit model and aggregate choice or allocation data to illustrate the conc…
Comparative Review of Death Sentences
David C. Baldus, Charles Pulaski, George Woodworth, Comparative Review of Death Sentences: An Empirical Study of the Georgia Experience, The Journal of Criminal Law and Criminology (1973-), Vol. 74, No. 3 (Autumn, 1983), pp. 661-753
Design and Analysis of Simulated Consumer Choice or Allocation Experiments
Jordan J. Louviere, George Woodworth, Design and Analysis of Simulated Consumer Choice or Allocation Experiments: An Approach Based on Aggregate Data, Journal of Marketing Research, Vol. 20, No. 4 (Nov., 1983), pp. 350-367
Identifying Comparatively Excessive Sentences of Death
David C. Baldus, Charles A. Pulaski, Jr., George Woodworth, Frederick D. Kyle, Identifying Comparatively Excessive Sentences of Death: A Quantitative Approach, Stanford Law Review, Vol. 33, No. 1 (Nov., 1980), pp. 1-74
Identifying Comparatively Excessive Sentences of Death
David C. Baldus, Charles A. Pulaski, Jr., George Woodworth, Frederick D. Kyle, Identifying Comparatively Excessive Sentences of Death: A Quantitative Approach, Stanford Law Review, Vol. 33, No. 1 (Nov., 1980), pp. 1-74
Equal Justice and the Death Penalty
Identifying Comparatively Excessive Sentences of Death
David C. Baldus, Charles A. Pulaski, Jr., George Woodworth, Frederick D. Kyle, Identifying Comparatively Excessive Sentences of Death: A Quantitative Approach, Stanford Law Review, Vol. 33, No. 1 (Nov., 1980), pp. 1-74
Design and Analysis of Simulated Consumer Choice or Allocation Experiments
The authors integrate concepts in conjoint analysis and discrete choice theory in econometrics to develop a new approach to the design and analysis of controlled consumer choice or resource allocation experiments. The article is concerned with estimating the parameters of conjoint-type functions from discrete choice or allocation data. Emphasis is placed on the multinomial logit model and aggregate choice or allocation data to illustrate the conc…
Comparative Review of Death Sentences
David C. Baldus, Charles Pulaski, George Woodworth, Comparative Review of Death Sentences: An Empirical Study of the Georgia Experience, The Journal of Criminal Law and Criminology (1973-), Vol. 74, No. 3 (Autumn, 1983), pp. 661-753
Design and Analysis of Simulated Consumer Choice or Allocation Experiments
Jordan J. Louviere, George Woodworth, Design and Analysis of Simulated Consumer Choice or Allocation Experiments: An Approach Based on Aggregate Data, Journal of Marketing Research, Vol. 20, No. 4 (Nov., 1983), pp. 350-367
Equal Justice and the Death Penalty
Hierarchical Models for Employment Decisions
Federal law prohibits discrimination in employment decisions against persons in certain protected categories. The common method for measuring discrimination involves a comparison of some aggregate statistic for protected and non-protected individuals. This approach is open to question when employment decisions are made over an extended time period. We show how to use hierarchical proportional hazards models (Cox regression models) to analyze such…
Computer Science (4 works) · Econometrics (3 works) · Economics (3 works) · Mathematics (3 works) · Statistics (3 works) · Aggregate (composite) (2 works) · Aggregate data (2 works) · Consumer choice (2 works) · Consumer Market Behavior and Pricing (2 works) · Grief, Bereavement, and Mental Health (2 works)