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How the Interactions between Political and Administrative Institutions Impact Policy Outcomes:_x000d_A Study of Impact Fee Adoption by Local Governments Using a Bayesian Frailty Model

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Abstract:

We employ the political market framework to explain differences in local government use of impact fees. This framework conceptualizes policy choices as resulting from the interplay between the aggregate policy demand by residents, developers and environmental interests and the aggregate supply by government authorities. The framework emphasizes the role of local institutions as mediators of local policy change. Intergovernmental variation in the use of impact fees is investigated at the metro and local government level with Bayesian frailty analysis of data collected in a 2003 survey of local government planners in Florida.

Most Common Document Word Stems:

polici (92), polit (87), local (81), develop (81), impact (76), govern (74), model (73), use (72), growth (70), fee (70), institut (59), public (57), manag (56), citi (50), urban (49), land (48), frailti (48), analysi (46), feiock (39), adopt (39), c (36),

Author's Keywords:

Political Institutions; Political Market; Bayesian Frailty Model; Impact Fees.
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Association:
Name: Midwest Political Science Association 67th Annual National Conference
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http://www.indiana.edu/~mpsa/


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URL: http://www.allacademic.com/meta/p361399_index.html
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MLA Citation:

Feiock, Richard., Kassekert, Anthony. and Lee, Youngme. "How the Interactions between Political and Administrative Institutions Impact Policy Outcomes:_x000d_A Study of Impact Fee Adoption by Local Governments Using a Bayesian Frailty Model" Paper presented at the annual meeting of the Midwest Political Science Association 67th Annual National Conference, The Palmer House Hilton, Chicago, IL, Apr 02, 2009 <Not Available>. 2009-11-10 <http://www.allacademic.com/meta/p361399_index.html>

APA Citation:

Feiock, R. , Kassekert, A. J. and Lee, Y. , 2009-04-02 "How the Interactions between Political and Administrative Institutions Impact Policy Outcomes:_x000d_A Study of Impact Fee Adoption by Local Governments Using a Bayesian Frailty Model" Paper presented at the annual meeting of the Midwest Political Science Association 67th Annual National Conference, The Palmer House Hilton, Chicago, IL Online <APPLICATION/PDF>. 2009-11-10 from http://www.allacademic.com/meta/p361399_index.html

Publication Type: Conference Paper/Unpublished Manuscript
Review Method: Peer Reviewed
Abstract: We employ the political market framework to explain differences in local government use of impact fees. This framework conceptualizes policy choices as resulting from the interplay between the aggregate policy demand by residents, developers and environmental interests and the aggregate supply by government authorities. The framework emphasizes the role of local institutions as mediators of local policy change. Intergovernmental variation in the use of impact fees is investigated at the metro and local government level with Bayesian frailty analysis of data collected in a 2003 survey of local government planners in Florida.

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Associated Document Available All Academic Inc.
Associated Document Available Political Research Online
Associated Document Available Midwest Political Science Association 67th Annual National Conference

Document Type: application/pdf
Page count: 34
Word count: 9471
Text sample:
The Impact of Political Institutions on the Adoption of Impact Fees by Local Governments Using a Bayesian Frailty Model Anthony Kassekert Askew School of Public Administration and Policy Florida State University Tallahassee Florida ajk05@fsu.edu Richard C. Feiock Askew School of Public Administration and Policy Florida State University Tallahassee Florida rfeiock@fsu.edu Youngmi Lee Askew School of Public Administration and Policy Florida State University Tallahassee Florida Prepared for the Annual Meeting of the Midwest Political Science Association. Chicago IL April 2009.
County Choices." In Annual Meeting of the American Political Science Association. Boston MA. Vaupel J. W. K. G. Manton and E. Stallard. 1979. "Impact of Heterogeneity in Individual Frailty on the Dynamics of Mortality." Demography 16 (3):439-54. Volden C. 2006. "States as policy laboratories: Emulating success in the children's health insurance program." American Journal of Political Science 50 (2):294-312. Yin G. S. and J. G. Ibrahim. 2005a. "Bayesian frailty models based on Box-Cox transformed hazards." Statistica Sinica 15 (3):781-94.


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