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Thursday, July 30, 2020 | History

2 edition of Ecological inference on voting data found in the catalog.

Ecological inference on voting data

Erika FuМ€le

Ecological inference on voting data

by Erika FuМ€le

  • 216 Want to read
  • 6 Currently reading

Published by Dept. of Statistics, University of Lund in Lund .
Written in English

    Subjects:
  • Voting research -- Statistical methods.,
  • Political statistics.,
  • Inference.

  • Edition Notes

    Includes bibliographical references (p. 117-123) and index.

    StatementErika Füle.
    Classifications
    LC ClassificationsJF1001 .F85 1994
    The Physical Object
    Pagination125 p. ;
    Number of Pages125
    ID Numbers
    Open LibraryOL608601M
    LC Control Number96204293

    Using ecological inference for contextual research: when aggregation bias is the solution as well as the problem D. Stephen Voss; Part II: 4. Extending King's ecological inference model to multiple elections using Markov chain Monte Carlo Jeffry B. Lewis; 5. Ecological regression and ecological inference Bernard Grofman and Samuel Merrill; 6. Downloadable! Summary. The difference, if any, between men's and women's voting patterns is of particular interest to historians of gender and politics. For elections that were held before the introduction of opinion surveying in the s, little data are available with which to estimate such differences. We apply six methods for ecological inference to estimate men's and women's voting rates.

    Ecological regression is a statistical technique used especially in political science and history to estimate group voting behavior from aggregate example, if counties have a known Democratic vote (in percentage) D, and a known percentage of Catholics, C, then run the linear regression of dependent variable D against independent variable C. This gives D = a + bC. 2 Ecological Regression. Under certain restrictive assumptions, individual behavior can be inferred from aggregate data using a technique called ‘ecological regression.’ The unit of analysis in the regression is a group of people, typically defined by geography (as in Fig. 1). The technique has been widely used in voting rights litigation.

    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 ). Ecological inference, as traditionally defined, is the process of using aggregate (i.e., “ecological”) data to infer discrete individual-level Cited by: Ecological inference under unfavorable conditions: Straight and split-ticket voting in diverse settings and small samples Won-ho Park a, Michael J. Hanmer b, *, Daniel R. Biggers c a Department of Political Science and International Relations, Seoul National University, 1 Gwanak-ro, Gwanak-Gu, Seoul , Republic of Korea.


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Ecological inference on voting data by Erika FuМ€le Download PDF EPUB FB2

Ecological inference (EI) is the process of learning about individual behavior from aggregate data. We relax assumptions by allowing for ``linear contextual effects,'' which previous works have regarded as plausible but avoided due to non-identification, a problem we sidestep by deriving bounds instead of.

On this basis, the expected number of votes for the hispanic candidate in precinct i is pnh i Cqn a i. Then p and q can be estimated by doing some kind of regression of v on nh and na.

More recently, King published “a solution to the ecological inference problem”. What is ecological inference. De nition:Ecological inference 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.

Simone Zhang Ecological Inference March 2 / 28File Size: 1MB. Information in Ecological Inference: An Introduction 1 Gary King, Ori Rosen, and Martin A. Tanner PART ONE 13 1 Prior and Likelihood Choices in the Analysis of Ecological Data 13 Jonathan Wakefield 2 The Information in Aggregate Data 51 David G.

Steel, Eric J. Beh, and Ray L. Chambers 3 Using Ecological Inference for Contextual Research 69 D. Under certain restrictive assumptions, individual behavior can be inferred from aggregate data using a technique called ‘ecological regression.’ The unit of analysis in the regression is a group of people, typically defined by geography (as in Fig.

The technique has been widely used in voting rights litigation in the Size: 30KB. The uncertainties and information lost in aggregation make ecological inference one of the most difficult areas of statistical inference, but these inferences are required in many academic fields, as well as by legislatures and the Courts in redistricting, marketing research by.

ECOLOGICAL INFERENCE AND AGGREGATE ANALYSIS OF ELECTIONS by Won-ho Park A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Political Science) in The University of Michigan Doctoral Committee: Professor Christopher H.

Achen, Co-Chair, Princeton University Professor Kenneth W. Kollman. Glenn Firebaugh, in International Encyclopedia of the Social & Behavioral Sciences (Second Edition), Abstract. Researchers commit an ‘ ecological fallacy ’ when they offer mistaken inferences about individual-level relationships using associations observed only in aggregate data.

This mistaken inference practice is labeled a fallacy because it is based on the false assumption that. Ecological Inference and Electoral Analysis This paper examines the utility of a relatively new statistical method for studying the relationships bet-ween individuals' sociological characteristics and their voting behavior during periods when only aggregate data are available.

Almost all of. In these situations, where survey research or other means of individual-level data collection are infeasible, ecological inference is the best and often the only hope of making progress. Ecological inference is the process of extracting clues about individual behavior from information reported at the group or aggregate by: This book provides a solution to the ecological inference problem, which has plagued users of statistical methods for over seventy-five years: How can researchers reliably infer individual-level behavior from aggregate (ecological) data?Cited by: Until recently, the leading approach to the ecological inference problem was a method called ``Goodman's regression''; its use in voting rights cases has been endorsed by the Supreme Court.

This was a Nice Try (King explains it in ch. 3, so I shan't), but it has some serious flaws. We examine the limits of ecological inference methods by focusing on the case of split-ticket voting.

Burden and Kimball () report that, by using the King estimation procedure for inferring individual-level behavior from aggregate data, they are the first to produce accurate estimates of split-ticket voting rates in congressional districts.

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 ).

Ecological inference, as traditionally defined, is the process of using aggregate (i.e. What is Ecological Inference. Originally published as: Corder, J.

Kevin. “Ecological Inference.” In Polling America: An Encyclopedia of Public Opinion, eds. Samuel Best and Benjamin Radcliff. Westport, CT: Greenwood. Ecological inference is a way to learn about the behavior of. I present the ecological-inference problem as it appears in Southern voting data more formally, and explain why until recently existing methods could not make Southern election returns tractable for study.

The following chapter, however, shows that Gary King’s “solution to the ecological inferenceFile Size: 57KB. In this article, we propose to improve upon ecological inference by predicting individual race from voter registration records. Building on the existing methodological literature in public health (Fiscella and Fremont ; Elliott et al.

), we use Bayes’s rule to combine the Census. Ecological regression 0 20 40 Proportion Democratic Density 0 20 40 Proportion Republican Density Olivia Lau, Ryan T. Moore, Michael Kellermann eiPack: R C Ecological Inference and Data Management. A main strategy is to use aggregate data provided by the offices of statistics regarding districts, precincts, communities etc.

and to rely on ecological inference. Ecological inference, however. We examine the limits of ecological inference methods by focusing on the case of split-ticket voting.

Burden and Kimball () report that, by using the King estimation procedure for inferring. We examine the limits of ecological inference methods by focusing on the case of split-ticket voting.

Burden and Kimball () report that, by using the King estimation procedure for inferring individual-level behavior from aggregate data, they.Professor Langbein teaches quantitative methods, program evaluation, policy analysis, and public choice.

Her research fields include: theories of bureaucratic discretion, productivity, principal-agent models, social capital, and cooperation in the workplace; theories of influence of interest groups in Congress and the bureaucracy; empirical applications in various policy areas, including the Cited by: The use of aggregate data in the study of voting behaviour: ecological inference, ecological fallacy and other applications.

In J. Fisher, E. Fieldhouse, M. Franklin, R. Gibson, M. Cantijoch, & C. Wlezien (Eds.), The Routledge Handbook of Elections, Voting Behavior and Public Opinion (pp. ). Routledge/Taylor & Francis by: 1.