Duration Dependence, Functional Form, and Corrected Standard Errors: Improving EHA Models of State Policy Diffusion

By Jack Buckley, Chad Westerland. State Politics & Policy Quarterly, 2004

138 citations recorded by the source corpus.

Subfields: Political Science and International Relations, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/690729745e576bf6ca5c3576e5e7113e15531a24

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Political Science and International Relations

1. Russ Deaton
2. Charles R. Shipan
3. Michael K. Mclendon
4. James C. Hearn
5. Richard Clark Feiock
6. C. Volden
7. Hongtao Yi
8. David A. Tandberg

In Statistics and Probability

1. Russ Deaton
2. Charles R. Shipan
3. Michael K. Mclendon
4. James C. Hearn
5. Richard Clark Feiock
6. C. Volden
7. Hongtao Yi

Citations in the corpus

• The mechanisms of policy diffusion (2008, methodology): “We test our hypotheses using logit, although the results are robust to other functional forms, such as probit or the complementary log-log function (Buckley and Westerland 2004).”
• Policy Tool Interactions and the Adoption of State Renewable Portfolio Standards (2012, methodology): “We use Cloglog because of its better treatment of rare events (Buckley & Westerland, 2004).”
• Called to Account: Analyzing the Origins and Spread of State Performance-Accountability Policies for Higher Education (2006, methodology): “Because of the relatively small number of events in each of our three analyses, we used the complementary log-log link function (Buckley & Westerland, 2004).”