Optimal Priority-Based Allocation Mechanisms
Published Online:31 Mar 2021https://doi.org/10.1287/mnsc.2020.3925
References
- (1998) Random serial dictatorship and the core from random endowments in house allocation problems. Econometrica 66(3):689–701.Crossref, Google Scholar
- (2003) School choice: A mechanism design approach. Amer. Econom. Rev. 93(3):729–747.Crossref, Google Scholar
- (2013) Matching markets: Theory and practice. Acemoglu D, Arellano M, Dekel E, eds. Advances in Economics and Econometrics: Tenth World Congress, Volume I, Economic Theory, Econometric Society Monographs (Cambridge University Press, Cambridge, United Kingdom), 3–47.Crossref, Google Scholar
- (2011) Resolving conflicting preferences in school choice: The Boston mechanism reconsidered. Amer. Econom. Rev. 101(1):399–410.Crossref, Google Scholar
- (2015) Expanding “choice” in school choice.Amer. Econom. J. Microeconomics 7(1):1–42.Crossref, Google Scholar
- (2009) Strategy-proofness vs. efficiency in matching with indifferences: Redesigning the NYC high school match. Amer. Econom. Rev. 99(5):1954–1978.Crossref, Google Scholar
- (2006) Changing the Boston school choice mechanism. Boston College Working Papers in Economics No. 639, Boston College Department of Economics, Boston.Google Scholar
- (2020) Efficiency, justified envy, and incentives in priority-based matching. Amer. Econom. Rev.: Insights 2(4):425–442.Google Scholar
- (2020) Revealed preference analysis of school choice models. Annual Rev. Econom. 12(2020):471–501.Crossref, Google Scholar
- (2020) Centralized school choice with unequal outside options. Working paper, Stanford University, Stanford, CA.Google Scholar
- (2016) Centralized clearinghouse design: A quantity-quality tradeoff.Technical report, Stanford University, Stanford, CA.Google Scholar
- (2017) What matters in tie-breaking rules? How competition guides design. Technical report, Stanford University, Stanford, CA.Google Scholar
- (2014) Improving community cohesion in school choice via correlated-lottery implementation. Oper. Res. 62(6):1247–1264.Link, Google Scholar
- (2015) Optimal allocation without money: An engineering approach. Management Sci. 64(4):1078–1097.Link, Google Scholar
- (2019) Assigning more students to their top choices: A comparison of tie-breaking rules. Games Econom. Behav. 115(2019):167–187.Crossref, Google Scholar
- (2016) A supply and demand framework for two-sided matching markets. J. Political Econom. 124(5):1235–1268.Crossref, Google Scholar
- (2015) Convex Optimization Algorithms (Athena Scientific, Nashua, NH).Google Scholar
- (1997) Introduction to Linear Optimization, 1st ed. (Athena Scientific, Nashua, NH).Google Scholar
- (2015) College admissions with stable score-limits. Central Eur. J. Oper. Res. 23(4):727–741.Crossref, Google Scholar
- (2016) A Markov chain approximation to choice modeling. Oper. Res. 64(4):886–905.Link, Google Scholar
- (2020) Optimizing for distributional goals in school choice problems. Management Sci. 66(8):3657–3676.Link, Google Scholar
- (2001) A new solution to the random assignment problem. J. Econom. Theory 100(2):295–328.Crossref, Google Scholar
- (2009) A column generation algorithm for choice-based network revenue management. Oper. Res. 57(3):769–784.Link, Google Scholar
- (2020) Cardinal assignment mechanisms: Money matters more than it should. Working paper, Barcelona Graduate School of Economics. Barcelona, Spain.Google Scholar
- (1997) Variance components structures for the extreme-value and logistic distributions with application to models of heterogeneity. Econometric Theory 13(2):185–213.Crossref, Google Scholar
- (1981) Machiavelli and the Gale-Shapley algorithm. Amer. Math. Monthly 88(7):485–494.Crossref, Google Scholar
- (2018) Reserve design: Unintended consequences and the demise of Boston’s walk zones. J. Political Econom. 126(6):2457–2479.Crossref, Google Scholar
- (2014) School choice with controlled choice constraints: Hard bounds vs. soft bounds. J. Econom. Theory 153(2014):648–683.Crossref, Google Scholar
- (2020) Dynamic matching in school choice: Efficient seat reassignment after late cancellations. Management Sci. 66(11):5341–5361.Link, Google Scholar
- (2017) Revenue management under the Markov chain choice model. Oper. Res. 65(5):1322–1342.Link, Google Scholar
- (2014) Constrained assortment optimization for the nested logit model. Management Sci. 60(10):2583–2601.Link, Google Scholar
- (2004) Managing flexible products on a network. Technical report, Columbia University, New York.Crossref, Google Scholar
- (2013) Effective affirmative action in school choice. Theoret. Econom. 8(2):325–363.Google Scholar
- (1987) Specifying and testing econometric models for rank-ordered data. J. Econometrics 34(1):83–104.Crossref, Google Scholar
- (2014) New national allocation policy for deceased donor kidneys in the United States and possible effect on patient outcomes. J. Amer. Soc. Nephrology 25(8):1842–1848.Crossref, Google Scholar
- (2018) School choice in context: Can open enrollment cure segregation? Working paper, University of Melbourne, Melbourne, Australia.Google Scholar
- (2012) School choice: Impossibilities for affirmative action. Games Econom. Behav. 75(2):685–693.Crossref, Google Scholar
- (2016) Matching with slot-specific priorities: Theory. Theoret. Econom. 11(2):683–710.Crossref, Google Scholar
- (2020) The cutoff structure of top trading cycles in school choice. Working paper, Columbia University, New York.Google Scholar
- (2015) The d-level nested logit model: Assortment and price optimization problems. Oper. Res. 62(2):325–342.Link, Google Scholar
- (2016) Ordinal efficiency, fairness, and incentives in large markets. Preprint, submitted August 30, http://dx.doi.org/10.2139/ssrn.1872713.Google Scholar
- (2008) On the choice-based linear programming model for network revenue management. Manufacturing Service Oper. Management 10(2):288–310.Link, Google Scholar
- (1978) Modeling the choice of residential location. Transportation Res. Record 672(1978):72–77.Google Scholar
- (2000) Mixed MNL models for discrete response. J. Appl. Econometrics 15(5):447–470.Crossref, Google Scholar
- (2013) Open Enrollment Is on the Menu—But Can You Order It (Education Commission of the States, Denver, CO).Google Scholar
- (2020) How well do structural demand models work? Counterfactual predictions in school choice. J. Econometrics, ePub ahead of print August 6, https://doi.org/10.1016/j.jeconom.2020.07.031.Google Scholar
- (2017) What really matters in designing school choice mechanisms. Honoré B, Pakes A, Piazzesi M, Samuelson L, eds. Advances in Economics and Econometrics: Eleventh World Congress, Econometric Society Monographs, vol. 1 (Cambridge University Press, Cambridge, United Kingdom), 176–214.Crossref, Google Scholar
- (2013) Simulating alternative school choice options in Boston. Technical report, MIT School Effectiveness and Inequality Initiative, Cambridge, MA.Google Scholar
- (2019) Evaluating with statistics: Which outcome measures differentiate among matching mechanisms?Working paper, University of Zurich, Zurich.Google Scholar
- (2017) Incentive compatible allocation and exchange of discrete resources. Theoret. Econom. 12(1):287–329.Crossref, Google Scholar
- (1982) The economics of matching: Stability and incentives. Math. Oper. Res. 7(4):617–628.Link, Google Scholar
- (2010) Dynamic assortment optimization with a multinomial logit choice model and capacity constraint. Oper. Res. 58(6):1666–1680.Link, Google Scholar
- (2014) Assortment optimization under the multinomial logit model with random choice parameters. Production Oper. Management 23(11):2023–2039.Crossref, Google Scholar
- (2015) Guiding school-choice reform through novel applications of operations research. Interfaces 45(2):117–132.Link, Google Scholar
- (2006) Recipient choice can address the efficiency-equity trade-off in kidney transplantation: A mechanism design model. Management Sci. 52(11):1647–1660.Link, Google Scholar
- (2004) Simulating the allocation of organs for transplantation. Health Care Management Sci. 7(4):331–338.Crossref, Google Scholar
- (1977) Simplicial decomposition in nonlinear programming algorithms. Math. Programming 13(1):49–68.Google Scholar
- (2013) The Handbook of Market Design (Oxford University Press, Oxford, United Kingdom).Crossref, Google Scholar
- (2016) A combinatorial algorithm for constrained assortment optimization under nested logit model. Preprint, submitted March 30, https://arxiv.org/abs/1603.09014.Google Scholar

