A Novel Hydro - Economic - Econometric Approach for Integrated Transboundary Water Management under Uncertainty
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- N. Englezos & X. Kartala & P. Koundouri & M. Tsionas & A. Alamanos, 2023. "A Novel HydroEconomic - Econometric Approach for Integrated Transboundary Water Management Under Uncertainty," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(4), pages 975-1030, April.
References listed on IDEAS
- A. Alamanos & D. Latinopoulos & A. Loukas & N. Mylopoulos, 2020. "Comparing Two Hydro-Economic Approaches for Multi-Objective Agricultural Water Resources Planning," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(14), pages 4511-4526, November.
- Peter Xue‐Kun Song, 2000. "Multivariate Dispersion Models Generated From Gaussian Copula," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 27(2), pages 305-320, June.
- Hall, Jamie & Pitt, Michael K. & Kohn, Robert, 2014. "Bayesian inference for nonlinear structural time series models," Journal of Econometrics, Elsevier, vol. 179(2), pages 99-111.
- Edward B. Barbier, 2004.
"Water and Economic Growth,"
The Economic Record, The Economic Society of Australia, vol. 80(248), pages 1-16, March.
- Edward Barbier, 2002. "Water and Economic Growth," Centre for International Economic Studies Working Papers 2002-28, University of Adelaide, Centre for International Economic Studies.
- Olley, G Steven & Pakes, Ariel, 1996.
"The Dynamics of Productivity in the Telecommunications Equipment Industry,"
Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
- G. Steven Olley & Ariel Pakes, 1992. "The Dynamics of Productivity in the Telecommunications Equipment Industry," NBER Working Papers 3977, National Bureau of Economic Research, Inc.
- George S Olley & Ariel Pakes, 1992. "The Dynamics Of Productivity In The Telecommunications Equipment Industry," Working Papers 92-2, Center for Economic Studies, U.S. Census Bureau.
- Dinar, Ariel & Hogarth, Margaret, 2015. "Game Theory and Water Resources Critical Review of its Contributions, Progress and Remaining Challenges," Foundations and Trends(R) in Microeconomics, now publishers, vol. 11(1-2), pages 1-139, June.
- Daniel A. Ackerberg & Kevin Caves & Garth Frazer, 2015. "Identification Properties of Recent Production Function Estimators," Econometrica, Econometric Society, vol. 83, pages 2411-2451, November.
- Adriano Vinca & Simon Parkinson & Keywan Riahi & Edward Byers & Afreen Siddiqi & Abubakr Muhammad & Ansir Ilyas & Nithiyanandam Yogeswaran & Barbara Willaarts & Piotr Magnuszewski & Muhammad Awais & A, 2021. "Transboundary cooperation a potential route to sustainable development in the Indus basin," Nature Sustainability, Nature, vol. 4(4), pages 331-339, April.
- Sungho Park & Sachin Gupta, 2012. "Handling Endogenous Regressors by Joint Estimation Using Copulas," Marketing Science, INFORMS, vol. 31(4), pages 567-586, July.
- Putnam, Robert D., 1988. "Diplomacy and domestic politics: the logic of two-level games," International Organization, Cambridge University Press, vol. 42(3), pages 427-460, July.
- James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 317-341.
- Pitt, Michael K. & Silva, Ralph dos Santos & Giordani, Paolo & Kohn, Robert, 2012. "On some properties of Markov chain Monte Carlo simulation methods based on the particle filter," Journal of Econometrics, Elsevier, vol. 171(2), pages 134-151.
- Flury, Thomas & Shephard, Neil, 2011.
"Bayesian Inference Based Only On Simulated Likelihood: Particle Filter Analysis Of Dynamic Economic Models,"
Econometric Theory, Cambridge University Press, vol. 27(5), pages 933-956, October.
- Thomas Flury & Neil Shephard, 2008. "Bayesian inference based only on simulated likelihood: particle filter analysis of dynamic economic models," OFRC Working Papers Series 2008fe32, Oxford Financial Research Centre.
- Peter J. Danaher & Michael S. Smith, 2011. "Modeling Multivariate Distributions Using Copulas: Applications in Marketing," Marketing Science, INFORMS, vol. 30(1), pages 4-21, 01-02.
- Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
- Tsionas, Mike G. & Mallick, Sushanta K., 2019. "A Bayesian semiparametric approach to stochastic frontiers and productivity," European Journal of Operational Research, Elsevier, vol. 274(1), pages 391-402.
- Roberto Casarin & Jean-Michel Marin, 2007. "Online data processing: comparison of Bayesian regularized particle filters," Working Papers 0703, University of Brescia, Department of Economics.
- Erik Ansink & Arjan Ruijs, 2008.
"Climate Change and the Stability of Water Allocation Agreements,"
Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 41(2), pages 249-266, October.
- Ansink, Erik & Ruijs, Arjan, 2007. "Climate Change and the Stability of Water Allocation Agreements," Economic Theory and Applications Working Papers 10272, Fondazione Eni Enrico Mattei (FEEM).
- Erik Ansink & Arjan Ruijs, 2007. "Climate Change and the Stability of Water Allocation Agreements," Working Papers 2007.16, Fondazione Eni Enrico Mattei.
- Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
- Christophe Andrieu & Arnaud Doucet & Roman Holenstein, 2010. "Particle Markov chain Monte Carlo methods," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 72(3), pages 269-342, June.
- Lin, Ming & Chen, Rong & Mykland, Per, 2010. "On Generating Monte Carlo Samples of Continuous Diffusion Bridges," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 820-838.
- Tang, Chang & Irfan, Muhammad & Razzaq, Asif & Dagar, Vishal, 2022. "Natural resources and financial development: Role of business regulations in testing the resource-curse hypothesis in ASEAN countries," Resources Policy, Elsevier, vol. 76(C).
- Gareth O. Roberts & Jeffrey S. Rosenthal, 1998. "Optimal scaling of discrete approximations to Langevin diffusions," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 60(1), pages 255-268.
- Thomas Bernauer & Tobias Böhmelt, 2020. "International conflict and cooperation over freshwater resources," Nature Sustainability, Nature, vol. 3(5), pages 350-356, May.
- Mike G. Tsionas, 2017. "“When, Where, and How” of Efficiency Estimation: Improved Procedures for Stochastic Frontier Modeling," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 948-965, July.
- Dinar, Ariel & Blankespoor, Brian & Dinar, Shlomi & Kurukulasuriya, Pradeep, 2010. "Does precipitation and runoff variability affect treaty cooperation between states sharing international bilateral rivers?," Ecological Economics, Elsevier, vol. 69(12), pages 2568-2581, October.
- Tsionas, Mike G. & Mamatzakis, Emmanuel, 2019. "Further results on estimating inefficiency effects in stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1157-1164.
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Cited by:
- Koundouri, Phoebe & Alamanos, Angelos & Sachs, Jeffrey, 2024.
"Innovating for Sustainability: The Global Climate Hub,"
MPRA Paper
121978, University Library of Munich, Germany.
- Phoebe Koundouri & Angelos Alamanos & Jeffrey D Sachs, 2024. "Innovating for Sustainability: The Global Climate Hub," DEOS Working Papers 2403, Athens University of Economics and Business.
- Phoebe Koundouri & Georgios I. Papayiannis & Athanasios Yannacopoulos, 2022. "Optimal Control Approaches to Sustainability under Uncertainty," DEOS Working Papers 2215, Athens University of Economics and Business.
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More about this item
Keywords
Transboundary water management; cooperation games; stochasticity; endogenous adaptation; production functions technical inefficiency; demand curve;All these keywords.
NEP fields
This paper has been announced in the following NEP Reports:- NEP-AGR-2021-03-08 (Agricultural Economics)
- NEP-ENV-2021-03-08 (Environmental Economics)
- NEP-GTH-2021-03-08 (Game Theory)
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