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Love, Death and Taxes: Applications of Real Options 'in' Economic Systems

https://doi.org/10.2139/ssrn.1734784
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35/35 checkable references clean · checked 2026-08-28

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

22 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 35 checked references that resolve
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Decomposition and Partitioning Methods for Multistage Stochastic Linear Programs
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State-of-the-Art-Survey—Stochastic Programming: Computation and Applications
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On Minimizing a Convex Function Subject to Linear Inequalities
resolves10.1007/bf01386316
Partitioning procedures for solving mixed-variables programming problems
resolves10.1287/mnsc.6.1.73
Chance-Constrained Programming
resolves10.1287/mnsc.1.3-4.197
Linear Programming under Uncertainty
resolves10.1007/bf02592157
Implementing bounds-based approximations in convex-concave two-stage stochastic programming
resolves10.1111/j.1937-5956.1997.tb00427.x
CONFIGURING A SUPPLY CHAIN TO REDUCE THE COST OF DEMAND UNCERTAINTY
resolves10.1007/978-3-642-95696-6
Stochastic Two-Stage Programming
resolves10.1007/bf01440737
Multistage stochastic programming: Error analysis for the convex case
resolves10.1007/bf02187642
On the formulation of stochastic linear programs using algebraic modelling languages
resolves10.1287/moor.16.3.650
Stochastic Decomposition: An Algorithm for Two-Stage Linear Programs with Recourse
resolves10.1287/moor.17.1.112
On the Convergence of Algorithms with Implications for Stochastic and Nondifferentiable Optimization
resolves10.1007/bf02192118
Epigraphical nesting: A unifying theory for the convergence of algorithms
resolves10.1007/978-1-4615-4115-8
Stochastic Decomposition
resolves10.1023/A:1018917710373
Statistical approximations forstochastic linear programming problems
resolves10.1007/978-3-642-66252-2
Stochastic Linear Programming
resolves10.1007/bf02592153
SLP-IOR: An interactive model management system for stochastic linear programs
resolves10.1080/17442509108833676
Epi‐consistency of convex stochastic programs
resolves10.1016/0167-6377(93)90002-x
The integer L-shaped method for stochastic integer programs with complete recourse
resolves10.1023/A:1018901022726
Chance-constrained stochastic programming forintegrated services network management
resolves10.1287/opre.43.3.477
A New Scenario Decomposition Method for Large-Scale Stochastic Optimization
resolves10.1080/05695558208974582
Electric Utility Capacity Expansion Planning with Uncertain Load Forecasts
resolves10.1287/opre.41.2.319
A Massively Parallel Algorithm for Nonlinear Stochastic Network Problems
resolves10.1093/ww/9780199540884.013.u190672
Sansar Chandra Sen, Rao Bahadur, (1846–11 May 1909)
resolves10.1287/opre.46.3.381
On Optimal Allocation of Indivisibles Under Uncertainty
resolves10.1287/moor.16.1.119
Scenarios and Policy Aggregation in Optimization Under Uncertainty
resolves10.1287/moor.18.3.578
Continuity Properties of Expectation Functions in Stochastic Integer Programming
resolves10.1016/0167-6377(92)90037-4
Relaxations for probabilistically constrained programs with discrete random variables
resolves10.1007/bf02110042
Network planning with random demand
resolves10.1287/inte.29.2.33
An Introductory Tutorial on Stochastic Linear Programming Models
resolves10.1007/bf02204815
Asymptotic analysis of stochastic programs
resolves10.1007/bf01580086
A simulation-based approach to two-stage stochastic programming with recourse
resolves10.1007/springerreference_1482
Financial Accounting Standards Board (FASB)
resolves10.1515/9781400829392
Strategic Investment
The 22 references without a DOI — listed, not checked
no DOI — not checkedref3
no DOI — not checkedThe Russell-Yasuda Kasai Model: An assettliability model for a Japanese insurance company using multistage stochastic programming
no DOI — not checkedref20
no DOI — not checkedLogarithmic concave measures with application to stochastic programming
no DOI — not checkedAnalysis of sample path optimization
no DOI — not checkedDistribution sensitivity in stochastic programming
no DOI — not checkedNavigating the Jungle of Valuing Complex Capital Structures in Privately Held Companies: An Integrative Simulation Approach
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What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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