Showing 1 through 2 of 2 records.
| | Pages: 48 pages | || | Words: 11992 words | || | |
| 1. Powell, Lynda. "The Time Legislators Spend Fundraising for Themselves and for their Caucuses:Modeling Institutional, Personal and Political Effects in State Legislatures" Paper presented at the annual meeting of the APSA 2008 Annual Meeting, Hynes Convention Center, Boston, Massachusetts, Aug 28, 2008 Online <APPLICATION/PDF>. 2009-11-27 <http://www.allacademic.com/meta/p279599_index.html>Publication Type: Conference Paper/Unpublished Manuscript
Abstract: A simple model of the relationship between campaign contributions and political influence is developed that allows the derivation of 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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| | Pages: 37 pages | || | Words: 9316 words | || | |
| 2. Powell, Lynda. "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" Paper presented at the annual meeting of the MPSA Annual National Conference, Palmer House Hotel, Hilton, Chicago, IL, Apr 03, 2008 Online <PDF>. 2009-11-27 <http://www.allacademic.com/meta/p266273_index.html>Publication Type: Conference Paper/Unpublished Manuscript
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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