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Political ambition and opposition legislative review: Bill scrutiny as an intra‐party signalling device

Published online by Cambridge University Press:  02 January 2026

Lion Behrens
Affiliation:
Department of Political Science, University of Mannheim, Germany
Dominic Nyhuis
Affiliation:
Institute of Political Science, University of Hannover, Germany
Thomas Gschwend
Affiliation:
Department of Political Science, University of Mannheim, Germany
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Abstract

Recent research on executive–legislative relations in parliamentary democracies has shown that members of majority parties submit amendments to government bills to police the coalition compromise and to distinguish themselves from their coalition partners. It is poorly understood, however, what motivates members of the opposition to engage in the resource‐intensive work of proposing changes to government bills. Not only are amendment proposals by the opposition often unsuccessful (lack of policy motivation), they are largely invisible to the electorate (lack of vote motivation). We argue that amendments by the opposition are best understood as reflecting office motivations of legislators. Ambitious legislators draft amendments to signal skill and expertise to their party peers, which is rewarded with promotions to higher office. We confirm our argument with original data from a German state parliament. The findings further our understanding of legislative review, individual legislative efforts and career trajectories.

Information

Type
Research Articles
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NC
This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
Copyright
Copyright © 2023 The Authors. European Journal of Political Research published by John Wiley & Sons Ltd on behalf of European Consortium for Political Research.
Figure 0

Table 1. Bill scrutiny by opposition parties in the Landtag Baden‐Württemberg

Figure 1

Table 2. Descriptive statistics of key variables, Bill × MP dataset

Figure 2

Table 3. Descriptive statistics of key variables, term × MP dataset

Figure 3

Table 4. Determinants of individual legislative review

Figure 4

Figure 1. The effect of political ambition on legislative review, based on Model 1. Dots show the mean predicted probability to engage in legislative review for members of each ambition category. Triangles show the mean differences in predicted probabilities between the three categories. Values are based on 10,000 draws from a multivariate normal distribution defined by the vector of parameter estimates reported in Model 1 and their covariance matrix. Thick bars display the 8.3 per cent and 91.6 per cent (thin 2.5 per cent and 97.5 per cent) quantiles of the simulated distributions. [Colour figure can be viewed at wileyonlinelibrary.com]

Figure 5

Figure 2. The effect of political ambition on legislative review, based on Model 3. Dots show the mean expected number of submitted article changes for members of each ambition category. Triangles show the mean differences in expected article changes between the three categories. Values are based on 10,000 draws from a multivariate normal distribution defined by the vector of parameter estimates reported in Model 3 and their covariance matrix. Thick bars display the 8.3 per cent and 91.6 per cent (thin 2.5 per cent and 97.5 per cent) quantiles of the simulated distributions. [Colour figure can be viewed at wileyonlinelibrary.com]

Figure 6

Table 5. Determinants of promotion

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Figure 3. The effect of legislative review on obtaining a leadership position in the next legislative term, based on Model 6a. The solid line represents the mean predicted probability across 10,000 draws from a multivariate normal distribution defined by the vector of parameter estimates and their cluster‐corrected covariance matrix. Error bars indicate the variation of simulated predicted probabilities for various degrees of uncertainty up to one standard deviation.

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