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Journal: SSRN

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Publications 1 - 10 of 139

Welfare Theorems for Random Assignments with Priorities
Schlegel, Jan C.; Mamageishvili, Akaki (2019)
SSRN
On the Association between the Impostor Phenomenon, Self-Esteem, and Well-Being in Academia: A Mixed-Method Study
Mori, Julia; Thurn, Christian Maximilian; Vilser, Melanie (2025)
SSRN
The purpose of this mixed-methods explanatory study is to better understand the experiences of the impostor phenomenon among early career academics (PhD and up to 8 years post-PhD) and examine the association between the impostor phenomenon, self-esteem, and well-being. We obtained quantitative data from 103 participants and then followed up with qualitative interviews with 12 purposefully selected respondents to explore those experiences in more depth. In the quantitative phase, we found that the majority of early and mid-career academics in our sample experienced moderate to substantial impostor feelings. Using latent profile analyses, we investigated intraindividual differences across participants and identified five profiles which we labelled (1) “the Balanced”, (2) “the Optimal Well-Being”, (3) “the Struggling”, (4) “the Confident”, and (5) “the Paradoxical High”. In the qualitative follow up phase, five major themes emerged: (1) understanding of the impostor phenomenon, (2) impostor situations, (3) negative impact of the impostor phenomenon, (4) positive impact of the impostor phenomenon, and (5) possible approaches to address the impostor phenomenon in academia. Considering the findings from both phases, we discuss them in relation to previous research and provide recommendations for educational institutions and policymakers on addressing the impostor phenomenon in the academic context.
The Fashion of TV Show Formats
Bechtold, Stefan (2012)
SSRN
Over the last years, a vibrant global market for TV show formats has emerged. Newly created game show, casting, magazine, soap, telenovela, documentary and other formats are often sold to broadcasting stations in dozens of countries, leading to a worldwide multi-billion dollar trading industry. Except for trademark protection, TV show formats are difficult to protect by intellectual property rights. While the industry has developed some tools to combat format “piracy”, both industry and some scholars are arguing to increase intellectual property protection for TV show formats. This paper raises doubts on these arguments. The TV show format market is subject to fashion cycles and difficulties in assessing the future success of a new format. This paper shows how an emerging industry can benefit from an environment of low intellectual property protection and exemplifies this with data drawn from a database of the global TV show format trade.
A Comment on Two Recent Contributions on the Value of Life
Bommier, Antoine; Harenberg, Daniel; Le Grand, François Louis (2016)
SSRN
Two recent articles (Córdoba and Ripoll, 2017; Hugonnier, Pelgrin, and St-Amour, 2013) have proposed a recursive formulation of utility functions combining a positive value of life, preference homotheticity, and a constant elasticity of substitution. However, when the elasticity of substitution is below one and mortality rates take plausible values, the recursive formulation admits only a unique, constant solution where utility equals zero everywhere. Non-constant solutions may only exist if mortality rates are assumed to remain low at all ages, that is, in a world of perpetually young agents. Such solutions are therefore unsuitable for studying the value of life in realistic settings. In addition, these non-constant solutions exhibit the questionable property that consumption at a given age and survival at that same age are substitutes instead of complements. We conclude this clarifying paper by reviewing various recursive specifications that can be used to study the value of life without facing such problems.
Risk Measures Based on Benchmark Loss Distributions
Bignozzi, Valeria; Burzoni, Matteo; Munari, Cosimo (2017)
SSRN
We introduce a class of quantile-based risk measures that generalize Value at Risk (VaR) and, likewise Expected Shortfall (ES), take into account both the frequency and the severity of losses. Under VaR a single confidence level is assigned regardless of the size of potential losses. We allow for a range of confidence levels that depend on the loss magnitude. The key ingredient is a benchmark loss distribution (BLD), i.e.~a function that associates to each potential loss a maximal acceptable probability of occurrence. The corresponding risk measure, called Loss VaR (LVaR), determines the minimal capital injection that is required to align the loss distribution of a risky position to the target BLD. By design, one has full flexibility in the choice of the BLD profile and, therefore, in the range of relevant quantiles. Special attention is given to piecewise constant functions and to tail distributions of benchmark random losses, in which case the acceptability condition imposed by the BLD boils down to first-order stochastic dominance. We provide a comprehensive study of the main finance theoretical and statistical properties of LVaR with a focus on their comparison with VaR and ES. Merits and drawbacks are discussed and applications to capital adequacy, portfolio risk management and catastrophic risk are presented.
Co-Designing AI Systems with Value-Sensitive Citizen Science
Mahajan, Sachit; Helbing, Dirk (2025)
SSRN
As artificial intelligence (AI) systems increasingly shape everyday life, integrating diverse community values into their development becomes both an ethical imperative and a practical necessity. This paper introduces Value Sensitive Citizen Science (VSCS), a systematic framework combining Value Sensitive Design (VSD) principles with citizen science methods to foster meaningful public participation in AI. Addressing critical gaps in existing approaches, VSCS integrates culturally grounded participatory methods and structured cognitive scaffolding through the Participatory Value-Cognition Taxonomy (PVCT). Through iterative value-sensitive participation cycles guided by an extended scenario logic (What-if, If-then, Then-what, What-now), community members act as genuine coresearchers-identifying, translating, and operationalizing local values into concrete technical requirements. The framework also institutionalizes governance structures for ongoing oversight, adaptability, and accountability across the AI lifecycle. By explicitly bridging participatory design with algorithmic accountability, VSCS ensures that AI systems reflect evolving community priorities rather than reinforcing top-down or monocultural perspectives. Critical discussions highlight VSCS's practical implications, addressing challenges such as power dynamics, scalability, and epistemic justice. The paper concludes by outlining actionable strategies for policymakers and practitioners, alongside future research directions aimed at advancing participatory, value-driven AI development across diverse technical and sociocultural contexts.
Appointed Learning for the Common Good: Optimal Committee Size and Efficient Rewards
Gersbach, Hans; Mamageishvili, Akaki; Tejada, Oriol (2020)
SSRN
A population of identical individuals must choose one of two alternatives under uncer- tainty about what the right alternative is. Individuals can gather information of increasing accuracy at an increasing convex utility cost. For such a setup, we analyze how vote del- egation to a committee and suitable monetary transfers for its members can ensure that high or optimal levels of information are (jointly) acquired. Our main insight is that to maximize the probability of choosing the right alternative committee size must be small, no matter whether information acquisition costs are private or not. Our analysis and results cover two polar cases—information costs are either private or public--and unravel both the potential and the limitations of monetary transfers in committee design.
A Systemic Perspective on the Challenge of Climate Change Mitigation
Goussebaïle, Arnaud (2025)
SSRN
This paper examines the key barriers to climate change mitigation and their interconnections, offering a systemic perspective. The first requirement is the implementation of stronger public policies, which depends on the second: establishing more robust international agreements. These, in turn, rely on a third and more fundamental condition — a societal shift toward valuing the long term. Without this deep transformation, efforts to secure effective international agreements and implement strong public policies are destined to fail.
Handling conflicts in microscopic railway timetabling at scale
Fuchs, Florian; Dubach, Thomas; Lordieck, Jan; et al. (2025)
SSRN
This paper presents a hybrid optimization framework for microscopic railway timetabling that integrates Logic-Based Benders Decomposition with Conflict Discovery (CD-LBBD) and a Soft-Conflict Mixed-Integer Programming (SC-MIP) formulation. The CD-LBBD method separates high-level coordination from microscopic feasibility, employing an SMT-based subproblem to dynamically detect and resolve resource conflicts. The SC-MIP formulation, by contrast, introduces a continuous relaxation of disjunctive precedence constraints and iteratively minimizes conflict violations to obtain feasible schedules that are subsequently refined to optimality. Both approaches operate on a strengthened continuous-time event–activity formulation enhanced by bound propagation, structural clustering, traversal bounds, and resource aggregation into train-specific chunks.The proposed framework is evaluated on the complete DISPLIB~2025 benchmark set, comprising 112 real-world–based instances. Within a 10-minute competition limit, CD-LBBD and SC-MIP jointly solved 65 instances to optimality. The hybrid solver achieves 91 best-known solutions—approximately 81\% of the benchmark—and obtained the highest overall score in the DISPLIB~2025 competition. These results demonstrate that combining exact methods with complementary algorithmic structures provides robust and scalable performance for large-scale, microscopic railway timetabling.
Loanly Governments: Sovereign Debt in the Wake of Credit Rating Downgrades
Diebold , Lukas; Hack, Lukas (2025)
SSRN
This paper studies the funding structure of governments, examining financing beyond traditional sovereign bond markets. We document significant heterogeneity in the use of bonds and loans, and in the composition of foreign and domestic creditors. We relate this heterogeneity to sovereign credit ratings and present three key findings. First, sovereigns adjust the composition of financing instruments when credit ratings change. Second, not all rating changes and countries are alike. We find strong evidence for substitution from bonds to loans only when (i) credit ratings decrease for (ii) countries that have been rated sufficiently low. Third, the substitution toward loans is primarily financed through the domestic financial sector via foreign funds, and associated with a subsequent increase in financial distress, raising financial stability concerns. Finally, we show that the documented loan-bond substitution is also accompanied by a reduction in real GDP, primarily driven by a decline in investment, suggesting real adverse consequences.

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