if this message does not display correctly, click here | Table of Contents Daniela Di Cagno, LUISS, Rome Arianna Galliera, LUISS Guido Carli University - Department of Economics Werner Güth, LUISS Guido Carli University, Frankfurt School of Finance & Management gemeinnützige GmbH, Max Planck Society for the Advancement of the Sciences - Max Planck Institute for Research on Collective Goods Luca Panaccione, University of Rome II Alessandra Luati, University of Bologna - Department of Statistics Tommaso Proietti, University of Rome II - Department of Economics and Finance Elisabetta Iossa, University of Rome Tor Vergata, University of Bristol - Leverhulme Centre for Market and Public Organisation (CMPO) | |
CEIS: CENTRE FOR ECONOMIC & INTERNATIONAL STUDIES Vincenzo Atella - Director "A Hybrid Public Good Experiment Eliciting Multi-Dimensional Choice Data" CEIS Working Paper No. 343 DANIELA DI CAGNO, LUISS, Rome Email:
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ARIANNA GALLIERA, LUISS Guido Carli University - Department of Economics Email:
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WERNER GÜTH, LUISS Guido Carli University, Frankfurt School of Finance & Management gemeinnützige GmbH, Max Planck Society for the Advancement of the Sciences - Max Planck Institute for Research on Collective Goods Email:
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LUCA PANACCIONE, University of Rome II Email:
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Similar to Fischbacher and Gächter (2010) we try to understand and explain the motivation of participants when contributing to a public good. In the Hybrid Public Good experiment each of two interacting contributors chooses an independent contribution level and three adjusted contribution levels when (s)he, as the only adjusting player, learns that the other's independent contribution is smaller, equal or larger than the own one. We systematically vary the probability that one player can adjust, based on such qualitative information, but maintain that no adaptation at all and adaptation by only one occurs with positive probability. Adaptation is framed in two ways, once by additively changing the own independent contribution and once by stating new contribution levels.
Surprisingly, there is a strong framing effect which increases with experience. Reacting to coinciding independent contributions implies impressive conformity in contributing. Reacting to higher, respectively lower independent contributions implies average upward, and, more strongly, downward adaptation. "Generalised Partial Autocorrelations and the Mutual Information between Past and Future" CEIS Working Paper No. 344 ALESSANDRA LUATI, University of Bologna - Department of Statistics Email:
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TOMMASO PROIETTI, University of Rome II - Department of Economics and Finance Email:
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The paper introduces the generalised partial autocorrelation (GPAC) coefficients of a stationary stochastic process. The latter are related to the generalised autocovariances, the inverse Fourier transform coefficients of a power transformation of the spectral density function. By interpreting the generalised partial autocorrelations as the partial autocorrelation coefficients of an auxiliary process, we derive their properties and relate them to essential features of the original process.
Based on a parameterisation suggested by Barndorff-Nielsen and Schou (1973) and on Whittle likelihood, we develop an estimation strategy for the GPAC coefficients. We further prove that the GPAC coefficients can be used to estimate the mutual information between the past and the future of a time series. "Contract and Procurement Design for PPPs in Highways: The Road Ahead" CEIS Working Paper No. 345 ELISABETTA IOSSA, University of Rome Tor Vergata, University of Bristol - Leverhulme Centre for Market and Public Organisation (CMPO) Email:
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We review international practice in concession-based public private partnerships (PPPs) for highways, in the light of the economic theory of incentives, procurement and regulation. In particular, we analyse alternative funding mechanisms to cover highway costs, and their impact on demand risk allocation, incentives, cost of capital, and likelihood of renegotiation. We note how real tolls must pursue a number of contrasting objectives, which may be best served by introducing tariff discrimination. We discuss alternative tariff regulations used in practice and warn against tariff mechanisms that transfer demand risk to users and depart from the principles of price cap regulation. We highlight that it is desirable to transfer some traffic risk to the concessionaire but the level of risk transfer should be lower at the beginning of the contract, especially for greenfield projects where little demand information is initially available. We discuss the procurement of highway PPPs, focusing on the choice of the bidding variables, and on the distortions that renegotiations introduce at bidding stage. We stress the importance of strong institutions and absence of political interference in regulatory matters, and we highlight the benefit of respecting and standardizing contract terms. | | ^top
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