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Why voters may prefer congested public clubs

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  • Glazer, Amihai
  • Niskanen, Esko

Abstract

The accurate prediction of rutting development is an essential element for the efficient management of pavement systems. In addition, progression models of highway pavement rutting can be used to study the effects of different loading levels, and thus in allocating cost responsibilities to various vehicle classes for their use of the highway system. Further, such models can be used for evaluating different strategies for design, maintenance and rehabilitation. Finally, if the models contain information about asphalt concrete mixes, they can also provide directions in the proportioning of aggregate, asphalt and air in the mix. The objective of this paper is to demonstrate the effectiveness of the estimation of rutting models by combining the information from two data sources. The data sources considered are the AASHO Road Test and the WesTrack Road Test. Combined estimation with both data sources is used to identify parameters that are not identifiable from one data source alone. In addition, this estimation approach also yields more efficient parameter estimates. The results presented in this paper demonstrate that joint estimation produces more realistic parameter estimates than those obtained by using either data set alone. Furthermore, joint estimation allows us to account for the effects of pavement structure, axle load configuration, asphalt concrete mix properties, freeze-thaw cycles and hot temperatures in a single model. Finally, it allows to us to predict the relative contributions of rutting originating both in the asphalt concrete and in the unbound layers in the same model.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Public Economics.

Volume (Year): 65 (1997)
Issue (Month): 1 (July)
Pages: 37-44

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Handle: RePEc:eee:pubeco:v:65:y:1997:i:1:p:37-44

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Web page: http://www.elsevier.com/locate/inca/505578

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  1. Besley, T. & Coate, S., 1989. "Public Provision Of Private Goods And The Redistribution Of Income," Papers 36, Princeton, Woodrow Wilson School - Discussion Paper.
  2. Sonstelie, Jon, 1982. "The Welfare Cost of Free Public Schools," Journal of Political Economy, University of Chicago Press, vol. 90(4), pages 794-808, August.
  3. Stiglitz, J. E., 1974. "The demand for education in public and private school systems," Journal of Public Economics, Elsevier, vol. 3(4), pages 349-385, November.
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Cited by:
  1. Kangsik, Choi, 2012. "Cournot and Bertrand competition with asymmetric costs in a mixed duopoly revisited," MPRA Paper 37704, University Library of Munich, Germany, revised 28 Mar 2012.
  2. Mark Gradstein & Moshe Justman, 1996. "The political economy of mixed public and private schooling: A dynamic analysis," International Tax and Public Finance, Springer, vol. 3(3), pages 297-310, July.
  3. Christoph Starke, 2010. "Serving the Many or Serving the Most Needy?," FEMM Working Papers 100002, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
  4. Gradstein, Mark & Justman, Moshe, 2005. "The melting pot and school choice," Journal of Public Economics, Elsevier, vol. 89(5-6), pages 871-896, June.
  5. Christoph Starke, 2012. "Serving the many or serving the most needy?," Economics of Governance, Springer, vol. 13(4), pages 365-386, December.
  6. Steffen Burchhardt & Christoph Starke, 2010. "Target-Group and Quality Decisions of Inequity-Averse Entrepreneurs," FEMM Working Papers 100011, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
  7. Zanola, Roberto, 2000. "Public goods versus publicly provided private goods in a two-class economy," POLIS Working Papers 12, Institute of Public Policy and Public Choice - POLIS.
  8. Kangsik, Choi, 2011. "Cournot and Bertrand competition with asymmetric costs in a mixed duopoly," MPRA Paper 34100, University Library of Munich, Germany.

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