The program EI provides a method of inferring individual behavior from aggregate data. It implements the statistical procedures, diagnostics, and graphics from the book A Solution to the Ecological Inference Problem: Reconstructing Individual Behavior from Aggregate Data (King 1997). Ecological inference, as traditionally defined, is the process of using aggregate (i.e., "ecological") data to infer discrete individual-level relationships of interest when individual-level data are not available. Ecological inferences are required in political science research when individual-level surveys are unavailable (e.g., local or comparative electoral politics), unreliable (racial politics), insufficient (political geography), or infeasible (politic...
We interpret an ecological inference model as a treatment effects model in which the outcomes of int...
(Article begins on next page) The Harvard community has made this article openly available. Please s...
The ecological fallacy is a common and little understood error in the interpretation of statistical ...
The program EI provides a method of inferring individual behavior from aggregate data. It implements...
The program EI provides a method of inferring individual behavior from aggregate data. It implements...
Preface from the book: In this book, I present a solution to the ecological inference problem: a me...
A recently proposed statistical model of ecological inference (the inference of individual behavior ...
Statistical methods for ecological inference are advanced. The drawback of ecological inference at p...
The articles in this theme issue-separated into Part 1 (Summer) and Part 2 (Fall) - consider a wide ...
The growth of literature using EI method has not led to a consensus on the effectiveness of EI as a ...
In social sciences we often have to do with aggregated data which pose both methodological and pract...
eco is a publicly available R package that implements the Bayesian and likelihood methods proposed i...
A large part of the most prominent and seminal applied works in the field of voting behavior in poli...
Ecological inference refers to the study of individuals using aggregate data and it is used in an im...
(Article begins on next page) The Harvard community has made this article openly available. Please s...
We interpret an ecological inference model as a treatment effects model in which the outcomes of int...
(Article begins on next page) The Harvard community has made this article openly available. Please s...
The ecological fallacy is a common and little understood error in the interpretation of statistical ...
The program EI provides a method of inferring individual behavior from aggregate data. It implements...
The program EI provides a method of inferring individual behavior from aggregate data. It implements...
Preface from the book: In this book, I present a solution to the ecological inference problem: a me...
A recently proposed statistical model of ecological inference (the inference of individual behavior ...
Statistical methods for ecological inference are advanced. The drawback of ecological inference at p...
The articles in this theme issue-separated into Part 1 (Summer) and Part 2 (Fall) - consider a wide ...
The growth of literature using EI method has not led to a consensus on the effectiveness of EI as a ...
In social sciences we often have to do with aggregated data which pose both methodological and pract...
eco is a publicly available R package that implements the Bayesian and likelihood methods proposed i...
A large part of the most prominent and seminal applied works in the field of voting behavior in poli...
Ecological inference refers to the study of individuals using aggregate data and it is used in an im...
(Article begins on next page) The Harvard community has made this article openly available. Please s...
We interpret an ecological inference model as a treatment effects model in which the outcomes of int...
(Article begins on next page) The Harvard community has made this article openly available. Please s...
The ecological fallacy is a common and little understood error in the interpretation of statistical ...