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      Niche Party Success and Mainstream Party Policy Shifts – How Green and Radical Right Parties Differ in Their Impact

      British Journal of Political Science

      Cambridge University Press (CUP)

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          Abstract

          This article investigates the impact of niche party success on the policy agendas of mainstream parties. Following from the expected electoral effects of issue politicization, the success of radical right and green parties will cause different reactions from mainstream parties. While mainstream parties emphasize anti-immigrant positions in response to radical right success, green party success will have the opposite effect for environmental issues. Since green parties constitute issue owners, their success will make established parties de-emphasize the environment. Analyzing time-series cross-section data for sixteen Western European countries from 1980 to 2011, this article empirically establishes that green and radical right parties differ in their effect on mainstream party behavior and that their impact depends on the ideological position and past electoral performance of the mainstream parties.

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          Most cited references 26

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          A Postfunctionalist Theory of European Integration: From Permissive Consensus to Constraining Dissensus

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            Competition Between Unequals: The Role of Mainstream Party Strategy in Niche Party Success

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              Nuisance vs. Substance: Specifying and Estimating Time-Series-Cross-Section Models

              In a previous article we showed that ordinary least squares with panel corrected standard errors is superior to the Parks generalized least squares approach to the estimation of time-series-cross-section models. In this article we compare our proposed method with another leading technique, Kmenta's “cross-sectionally heteroskedastic and timewise autocorrelated” model. This estimator uses generalized least squares to correct for both panel heteroskedasticity and temporally correlated errors. We argue that it is best to model dynamics via a lagged dependent variable rather than via serially correlated errors. The lagged dependent variable approach makes it easier for researchers to examine dynamics and allows for natural generalizations in a manner that the serially correlated errors approach does not. We also show that the generalized least squares correction for panel heteroskedasticity is, in general, no improvement over ordinary least squares and is, in the presence of parameter heterogeneity, inferior to it. In the conclusion we present a unified method for analyzing time-series-cross-section data.
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                Author and article information

                Journal
                applab
                British Journal of Political Science
                Brit. J. Polit. Sci.
                Cambridge University Press (CUP)
                0007-1234
                1469-2112
                April 2016
                June 24 2014
                : 46
                : 02
                : 417-436
                Article
                10.1017/S0007123414000155
                © 2014

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