Robust Simulation of Global Warming Policies Using the DICE Model
Published Online:3 Aug 2012https://doi.org/10.1287/mnsc.1120.1547
References
- . An Introduction to Multivariate Analysis (1984) (Wiley, New York) Google Scholar
- . Energy policies avoiding a tipping point in the climate system. Energy Policy (2011) 39(1):334–348Crossref, Google Scholar
- . Resampling methods for input modeling. Proc. 2001 Winter Simulation Conf. (2001) (IEEE, Piscataway, NJ) 372–378Crossref, Google Scholar
- . Robust convex optimization. Math. Oper. Res. (1998) 23(4):769–805Link, Google Scholar
- . Robust solutions of linear programming problems contaminated with uncertain data. Math. Programming (2000) 88:411–424Crossref, Google Scholar
- . Lectures on Modern Convex Optimization: Analysis, Algorithms, and Engineering Applications (2001) (SIAM, Philadelphia) Crossref, Google Scholar
- . Bayesian Theory (2000) (Wiley, New York) Google Scholar
- . Price of robustness. Oper. Res. (2004) 52(1):35–53Link, Google Scholar
- . Theory and applications of robust optimization. SIAM Rev. (2011) 53(3):464–501Crossref, Google Scholar
- . Convex Optimization (2004) (Cambridge University Press, Cambridge, UK) Crossref, Google Scholar
- . Modeling and generating random vectors with arbitrary marginal distributions and correlation matrix. (1997) . Technical report, Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, ILGoogle Scholar
- . Sensitivity of computer simulation experiments to errors in input data. J. Statist. Comput. Simulation (1997) 57:219–241Crossref, Google Scholar
- . Input distribution selection for simulation experiments: Accounting for input uncertainty. Oper. Res. (2001) 49(5):744–758Link, Google Scholar
- . The effects of errors in means, variances, and covariances on optimal portfolio choice. J. Portfolio Management (1993) 19(2):6–11Crossref, Google Scholar
- . Correlations and copulas for decision and risk analysis. Management Sci. (1999) 45(2):208–224Link, Google Scholar
- . Impact of correlated default risk on credit portfolios. J. Fixed Income (2001) 11(3):9–19Crossref, Google Scholar
- . Distributionally robust optimization under moment uncertainty with application to data-driven problems. Oper. Res. (2010) 58(3):595–612Link, Google Scholar
- . Risk, ambiguity, and the savage axioms. Quart. J. Econom. (1961) 75(4):643–669Crossref, Google Scholar
- . A definition of uncertainty aversion. Rev. Econom. Stud. (1999) 66(3):579–608Crossref, Google Scholar
- . Robust portfolios: Contributions from operations research and finance. Ann. Oper. Res. (2010) 176(1):191–220Crossref, Google Scholar
- . Optimization for simulation: Theory vs. practice. INFORMS J. Comput. (2002) 14(3):192–215Link, Google Scholar
- . What you should know about simulation and derivatives. Naval Res. Logist. (2008) 55(8):723–736Crossref, Google Scholar
- . Monte Carlo Methods in Financial Engineering (2004) (Springer, New York) Crossref, Google Scholar
- . Robust portfolio selection problems. Math. Oper. Res. (2003) 28(1):1–38Link, Google Scholar
- . CVX: Matlab software for disciplined convex programming. (2011) . Accessed October 16, 2011, http://cvxr.com/cvx/Google Scholar
- . An interior-point method for a class of saddle point problems. J. Optim. Theory Appl. (2003) 116(3):559–590Crossref, Google Scholar
- . Input model uncertainty: Why do we care and what should we do about it? Proc. 2003 Winter Simulation Conf. (2003) (IEEE Computer Society, Washington, DC) 90–100Crossref, Google Scholar
- . A brief introduction to optimization via simulation. Proc. 2009 Winter Simulation Conf. (2009) (IEEE Computer Society, Washington, DC) 75–85Crossref, Google Scholar
- . Sequential convex approximations to joint chance constrained programs: A Monte Carlo approach. Oper. Res. (2011) 59(3):617–630Link, Google Scholar
- . Robust simulation of environmental policies using the DICE model. Proc. 2010 Winter Simulation Conf. (2010) (IEEE Computer Society, Washington, DC) 1295–1305Crossref, Google Scholar
- Intergovernmental Panel on Climate Change (IPCC)Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL. Summary for policymakers. Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (2007) (Cambridge University Press, Cambridge, UK) Crossref, Google Scholar
- . Imprecise probability assessment of tipping points in the climate system. Proc. Natl. Acad. Sci. USA (2009) 106(13):5041–5046Crossref, Google Scholar
- . Reconciling climate change and trade policy. (2009) . Policy Research Working Paper 5123, World Bank, Washington, DCCrossref, Google Scholar
- . Centralized and competitive inventory models with demand substitution. Oper. Res. (2003) 51(2):329–335Link, Google Scholar
- . A Question of Balance: Weighing the Options on Global Warming Policies (2008) (Yale University Press, New Haven, CT) Crossref, Google Scholar
- . High-dimensional covariance estimation by minimizing l1-penalized log-determinant divergence. (2008) . Technical report, University of California, BerkeleyGoogle Scholar
- . Convex Analysis (1970) (Princeton University Press, Princeton, NJ) Crossref, Google Scholar
- . On rate of convergence of optimal solutions of Monte Carlo approximations of stochastic programs. SIAM J. Optim. (2000) 11(1):70–86Crossref, Google Scholar
- . Lectures on Stochastic Programming: Modeling and Theory (2009) (SIAM, Philadelphia) Crossref, Google Scholar
- . The Economics of Climate Change: The Stern Review (2007) (Cambridge University Press, Cambridge, UK) Crossref, Google Scholar
- United Nations Framework Convention on Climate Change (UNFCCC) Copenhagen accord. (2009) . Accessed October 16, 2011, http://unfccc.int/resource/docs/2009/cop15/eng/l07.pdfGoogle Scholar
- U.S. Climate Change Science Program (CCSP) Abrupt climate change. (2008) . A report by the U.S. Climate Change Science Program and the Subcommittee on Global Change Research U.S. Geological Survey, Reston, VAGoogle Scholar
- . Determinant maximization with linear matrix inequality constraints. SIAM J. Matrix Anal. Appl. (1998) 19(2):499–533Crossref, Google Scholar
- . Solving log-determinant optimization problems by a Newton-CG proximal point algorithm. SIAM J. Optim. (2009) 20(6):2994–3013Crossref, Google Scholar
- Analysis of climate policy targets under uncertainty. (2009) . Report No. 180, MIT Joint Program on the Science and Policy of Global Change, Cambridge, MAGoogle Scholar
- . MAXDET: Software for determinant maximization problems. (1996) . Accessed October 16, 2011, http://www.stanford.edu/boyd/oldsoftware/MAXDET.htmlGoogle Scholar

