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The Causes and Consequences of Time Legislators Spend Fundraising for Themselves and for their Caucuses: Modeling Effects of Institutional Design and Personal and Political Context in State Legislatures
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The Time Legislators Spend Fundraising for Themselves and for their Caucuses:
Modeling Institutional, Personal and Political Effects in State Legislatures
Lynda W. Powell
Department of Political Science
University of Rochester
Preliminary Draft: Please do not cite without permission.
Prepared for delivery at the 2008 Annual Meetings of the Midwest Political Science Association, April 1 4, Chicago, IL.
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Abstract: We develop a simple model of the relationship between campaign contributions and political influence that allows us to derive a variety of implications relating the time members spend raising funds for themselves and for their legislative caucuses to institutional and political characteristics of legislative chambers, to personal characteristics of legislators and political characteristics of their constituencies. Using data from a national survey of state legislators, Bayesian multi-level models are utilized to test hypotheses generated by the model.
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The Time Legislators Spend Fundraising for Themselves and for their Caucuses:
Modeling Institutional, Personal and Political Effects in State Legislatures
Lynda W. Powell
Department of Political Science
University of Rochester
Preliminary Draft: Please do not cite without permission.
Prepared for delivery at the 2008 Annual Meetings of the Midwest Political Science
Association, April 1 4, Chicago, IL.
‐
Abstract: We develop a simple model of the relationship between campaign
contributions and political influence that allows us to derive a variety of implications
relating the time members spend raising funds for themselves and for their legislative
caucuses to institutional and political characteristics of legislative chambers, to personal
characteristics of legislators and political characteristics of their constituencies.
Using data from a national survey of state legislators, Bayesian multi-level models are
utilized to test hypotheses generated by the model.
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