Optimal Cost Overruns: Procurement Auctions and Renegotiation
In: CESifo Working Paper Series No. 5838
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In: CESifo Working Paper Series No. 5838
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Working paper
In: CESifo Working Paper Series No. 5983
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In: UB Economics Working Papers E21/410
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In: CESifo Working Paper Series No. 6159
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In: Retten!: das Fachmagazin für den Rettungsdienst, Band 2, Heft 5, S. 352-354
ISSN: 2193-2395
In: Retten!: das Fachmagazin für den Rettungsdienst, Band 1, Heft 3, S. 228-231
ISSN: 2193-2395
In: CESifo Working Paper No. 10848
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In: CESifo Working Paper No. 8704
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Working paper
In: The economic journal: the journal of the Royal Economic Society, Band 133, Heft 656, S. 3099-3135
ISSN: 1468-0297
Abstract
Debates about affirmative action often revolve around fairness. In a laboratory experiment, we study three quota rules in tournaments that favour individuals whose performance is low, either due to discrimination, low productivity, or choice of a short working time. Affirmative action favouring discriminated individuals is perceived as fairest, followed by that targeting individuals with a short working time, while favouring low-productivity individuals is not perceived as fairer than an absence of affirmative action. Higher fairness perceptions coincide with a higher willingness to compete and less retaliation against winners, underlining that fairness perceptions matter for the consequences of affirmative action.
Technology has a pivotal role in the continuous development of radiotherapy. The long road toward modern 'high‐tech' radiation oncology has been studded with discoveries and technological innovations that resulted from the interaction of various disciplines. In the last decades, a dramatic technology‐driven revolution has hugely improved the capability of accurately and safely delivering complex‐shaped dose distributions. This has contributed to many clinical improvements, such as the successful management of lung cancer and oligometastatic disease through stereotactic body radiotherapy. Technology‐driven research is an active and lively field with promising potential in several domains, including image guidance, adaptive radiotherapy, integration of artificial intelligence, heavy‐particle therapy, and 'flash' ultra‐high dose‐rate radiotherapy. The evolution toward personalized Oncology will deeply influence technology‐driven research, aiming to integrate predictive models and omics analyses into fast and efficient solutions to deliver the best treatment for each single patient. Personalized radiation oncology will need affordable technological solutions for middle‐/low‐income countries, as these are expected to experience the highest increase of cancer incidence and mortality. Moreover, technology solutions for automation of commissioning, quality assurance, safety tests, image segmentation, and plan optimization will be required. Although a large fraction of cancer patients receive radiotherapy, this is certainly not reflected in the worldwide budget for radiotherapy research. Differently from the pharmaceutical companies‐driven research, resources for research in radiotherapy are highly limited to equipment vendors, who can, in turn, initiate a limited number of collaborations with academic research centers. Thus, enhancement of investments in technology‐driven radiotherapy research via public funds, national governments, and the European Union would have a crucial societal impact. It would allow for ...
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In: Journal of Finance, Volume 79, Issue 3, June 2024, Pages 2339-2390.
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