Christian Fundamentalists and Public Opinion Toward the Middle East: Israel's New Best Friends?*

Objectives. Although Christian fundamentalist elites have become increasingly vocal in their support for Israel in the ongoing conflict in the Middle East, it is not clear that this rhetoric has produced differing attitudes about U.S. foreign policy in public opinion. This article examines whether such differences exist, and whether they are rooted in aspects of fundamentalist eschatology. Methods. Data from a national telephone survey on attitudes toward the Middle East conflict and U.S. policy were examined using multivariate regression and means comparisons. Results. These results demonstrate that Christian fundamentalists are the strongest supporters of Israel in America today. Fundamentalists have greater sympathy for Israel, oppose policies to pressure Israel, and are distinctive from all other groups in their high levels of support for continuing Israeli settlements in occupied Palestinian territories, as well as complete Israeli control of Jerusalem. Conclusion. Christian fundamentalists in America are distinctive on this vital issue in American foreign policy because of their literal interpretation of the Bible or their leaders' increased cues on Middle East policies, or both. This suggests that religion is now an important factor in understanding public opinion on U.S. foreign policy in the region.     

Properties of maximum likelihood estimates of the ratio of parameters in ordinal response regression models

The properties of a method of estimating the ratio of parameters for ordered categorical response regression models are discussed. If the link function relating the response variable to the linear combination of covariates is unknown then it is only possible to estimate the ratio of regression parameters. This ratio of parameters has a substitutability or relative importance interpretation.

The maximum likelihood estimate of the ratio of parameters, assuming a logistic function (McCullagh, 1980), is found to have very small bias for a wide variety of true link functions. Further it is shown using Monte Carlo simulations that this maximum likelihood estimate, has good coverage properties, even if the link function is incorrectly specified. It is demonstrated that combining adjacent categories to make the response binary can result in an analysis which is appreciably less efficient. The size of the efficiency loss on, among other factors, the marginal distribution in the ordered categories