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Luck of the Draw? Private Members’ Bills and the Electoral Connection*

Published online by Cambridge University Press:  09 May 2017

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Abstract

The legislative agenda in most parliamentary systems is controlled tightly by the government and bills offered by individual members of parliament have low rates of success. Yet, members of parliament (MPs) do seek to present (private) members’ bills even where the rate of adoption is very low. We argue that members’ bills serve as an electoral connection but also as an opportunity for MPs to signal competence to their co-partisans. To demonstrate the presence of an electoral connection we take advantage of the random selection of private members’ bills in the New Zealand House of Representatives and show that survey respondents approve more of electorate MPs whose bills were drawn on the ballot. In addition, we show that MPs respond to the incentives created by the voters and parties’ willingness to reward legislative effort and, consequently, that electorally vulnerable legislators are more likely to place members’ bills on the ballot.

Information

Type
Original Articles
Copyright
© The European Political Science Association 2017 
Figure 0

Fig. 1 Share of opportunities to enter bill used Note: Excludes ministers, house leaders, and all speakers. New Zealand Parliament (www.parliament.nz).

Figure 1

Fig. 2 Bills placed on the ballot by MP Note: New Zealand Parliament (www.parliament.nz).

Figure 2

Fig. 3 Vote margin and bills placed on the ballot Note: New Zealand Parliament (www.parliament.nz).

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Fig. 4 List Safety and bills placed on the ballot Note: New Zealand Parliament (www.parliament.nz).

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Table 1 Member Bill Attempts and Electoral Safety: 46th–50th Parliament, Logit Models

Figure 5

Fig. 5 The effect of SMD and List Safety on the number of attempts (a) Marginal effect of SMD Safety conditional on List Safety (left panel) (b) Marginal effect of List Safety conditional on SMD Safety (right panel)

Figure 6

Table 2 MP Approval: Number of and Unique Attempts, Bills Drawn

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Fig. 6 Predicted respondent approval of MP

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Table 3 MP Approval: Ordered Logit—Conditioning on Number of Attempts and Unique Bills

Supplementary material: Link

Williams and Indridason Dataset

Link