Rehabilitating Duverger’s Theory

By W. Clark, Matt Golder. 2006

291 citations recorded by the source corpus.

Subfields: Communication, Political Science and International Relations

View Paper: https://www.semanticscholar.org/paper/82289c7ded042f0e7cfa8b031b33f51219ad171d

How researchers see this paper

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

In Communication

1. J. Esarey
2. J. Sumner
3. D. Milton
4. William D. Berry
5. Matt Golder

In Political Science and International Relations

1. J. Sumner
2. J. Esarey
3. D. Milton
4. William D. Berry
5. Matt Golder

Citations in the corpus

• Marginal Effects in Interaction Models: Determining and Controlling the False Positive Rate (2018, methodology): “…for (∂y/∂x|z) at different values of z for a linear model: y = β0 + βxx+ βzz + βxzxz (1) then testing these hypotheses using (1− α) confidence intervals generated using the Brambor, Clark and Golder (2006) method will jointly reject all the null hypotheses at most α proportion of the time.”
• Improving Tests of Theories Positing Interaction (2012, methodology): “In interactive models with a nonlinear functional form, in contrast, the marginal effect of X on Y necessarily varies with both the value of X and the value of Z (Brambor, Clark & Golder 2006, 77).”
• How Much Should We Trust Estimates from Multiplicative Interaction Models? Simple Tools to Improve Empirical Practice (2016, unknown): “Note: The above plots examine the marginal-effect plot in Clark and Golder (2006): (a) marginal-effect estimates from the replicated model (black line) and the binning estimator (red dots); (b) marginal-effect estimates from the kernel estimator. their LIE estimates by writing that, “[i]t should be…”