An Alternative Approach to Estimating Who is Most Likely to Respond to Changes in Registration Laws

An Alternative Approach to Estimating Who is Most Likely to Respond to Changes in Registration Laws Scholars often seek to understand which individuals are most responsive to the change in some treatment. Such work inevitably faces issues of identification. When the dependent variable is binary, the assumption that the largest effect occurs where p = 0.5 is also encountered. I apply Manski’s [(1995). Identification problems in the social sciences. Cambridge: Harvard University Press] non-parametric Bounds approach, which relaxes the functional form and distributional assumptions found in traditional models, in an attempt to resolve the long standing debate on which types of individuals are most affected by changes in registration laws. Under the standard assumption that treats the selection of registration laws as exogenous, the results revise the current understanding. By exploring the power of various behavioral assumptions, new insights into the study of policy changes emerge, calling into question some of the assumptions that are standard in the literature. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Political Behavior Springer Journals

An Alternative Approach to Estimating Who is Most Likely to Respond to Changes in Registration Laws

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Publisher
Kluwer Academic Publishers-Plenum Publishers
Copyright
Copyright © 2007 by Springer Science+Business Media, LLC
Subject
Political Science and International Relations; Political Science; Sociology, general
ISSN
0190-9320
eISSN
1573-6687
D.O.I.
10.1007/s11109-006-9022-5
Publisher site
See Article on Publisher Site

Abstract

Scholars often seek to understand which individuals are most responsive to the change in some treatment. Such work inevitably faces issues of identification. When the dependent variable is binary, the assumption that the largest effect occurs where p = 0.5 is also encountered. I apply Manski’s [(1995). Identification problems in the social sciences. Cambridge: Harvard University Press] non-parametric Bounds approach, which relaxes the functional form and distributional assumptions found in traditional models, in an attempt to resolve the long standing debate on which types of individuals are most affected by changes in registration laws. Under the standard assumption that treats the selection of registration laws as exogenous, the results revise the current understanding. By exploring the power of various behavioral assumptions, new insights into the study of policy changes emerge, calling into question some of the assumptions that are standard in the literature.

Journal

Political BehaviorSpringer Journals

Published: Feb 21, 2007

References

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