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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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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
## email not listed ##
Richard C. Feiock
Askew School of Public Administration and Policy
Florida State University
Tallahassee, Florida
## email not listed ##
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. We wish to thank Mark Lubell for helpful suggestions and comments. This paper is based upon work supported by the DeVoe Moore Center, Program in Local Governance at FSU and the National Science Foundation under Grant No. 0350799. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
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| | Authors: Feiock, Richard., Kassekert, Anthony. and Lee, Youngme. |
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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
## email not listed ##
Richard C. Feiock
Askew School of Public Administration and Policy
Florida State University
Tallahassee, Florida
## email not listed ##
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. We wish to thank Mark Lubell for helpful suggestions and comments. This paper
is based upon work supported by the DeVoe Moore Center, Program in Local Governance at
FSU and the National Science Foundation under Grant No. 0350799. Any opinions, findings,
and conclusions or recommendations expressed in this material are those of the authors and do
not necessarily reflect the views of the National Science Foundation.
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