Ecological Inference: New Methodological Strategies
Gary King, Ori Rosen, Martin Tanner. 2004.
"Ecological Inference: New Methodological Strategies".
Cambridge University Press, New York.
Abstract
Ecological Inference: New Methodological Strategies brings together a diverse group of scholars to survey the latest strategies for solving ecological inference problems in various fields. The last half decade has witnessed an explosion of research in ecological inference – the attempt to infer individual behavior from aggregate data. The uncertainties and the information lost in aggregation make ecological inference one of the most difficult areas of statistical inference, but such inferences are required in many academic fields, as well as by legislatures and the courts in redistricting, by businesses in marketing research, and by governments in policy analysis.
See Also
- [Book] A Solution to the Ecological Inference Problem: Reconstructing Individual Behavior from Aggregate Data (1997)
- [Paper] Aggregation Among Binary, Count, and Duration Models: Estimating the Same Quantities from Different Levels of Data (2001)
- [Paper] Bayesian and Frequentist Inference for Ecological Inference: The RxC Case (2001)
- [Paper] Binomial-Beta Hierarchical Models for Ecological Inference (1999)
- [Paper] Did Illegal Overseas Absentee Ballots Decide the 2000 U.S. Presidential Election? (2004)
- [Book] Ecological Inference (2006)
- [Paper] Ecological Regression With Partial Identification (2019)
- [Book] Information in Ecological Inference: An Introduction (2004)