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Two alternative hypotheses – referred to as opportunity- and stigma-based behavior – suggest that the magnitude of the link between unemployment and crime also depends on preexisting local crime levels. In order to analyze conjectured nonlinearities between both variables, we use quantile regressions applied to German district panel data. While both conventional OLS and quantile regressions confirm the positive link between unemployment and crime for property crimes, results for assault differ with respect to the method of estimation. Whereas conventional mean regressions do not show any significant effect (which would confirm the usual result found for violent crimes in the literature), quantile regression reveals that size and importance of the relationship are conditional on the crime rate. The partial effect is significantly positive for moderately low and median quantiles of local assault rates.
O artigo investiga a formação, a carreira e os trabalhos de Max Weber como jurista, assim como delineia as linhas gerais do impacto e das influências de sua formação jurídica na sua obra em geral. Especial atenção merece sua tese de doutorado sobre as sociedades comerciais na Idade Média, que é apresentada em sua problematização geral e em suas principais ideias. Com isso, procura-se indicar como os problemas tratados por Weber em sua tese de doutorado - sua principal obra jurídica - antecipam temas e problemas que serão desenvolvidos na obra posterior de modo ampliado e aprofundado.
Development economists have suggested that the hopes of the poor are a relevant factor in overcoming poverty. I argue that Kant’s approach to hope provides an important complement to the economists’ perspective. A Kantian account of hope emphasizes the need for the rationality of hope and thereby guards against problematic aspects of the economists’ discourse on hope. Section 1 introduces recent work on hope in development economics. Section 2 clarifies Kant’s question “What may I hope?” and presents the outlines of his answer. Crucially, hope is rational if it is rational to trust in the structures of reality on which the realization of one’s hope depends. Section 3 argues that central tenets of Kant’s account of what makes hope rational can be applied to the context of poverty. It becomes apparent that the poor often have good reason to be hopeless since they may not trust fundamental structures that are necessary for realizing their hope. Thus, the insight that the poor need more hope must go hand in hand with a commitment to establishing trustworthy political structures, such that their hope can be rational. Section 4 highlights the relevance of the secular highest good for a better understanding of the justification and scope of our duties to the poor in a Kantian framework.
Using experimental data from a comprehensive field study, we explore the causal effects of algorithmic discrimination on economic efficiency and social welfare. We harness economic, game-theoretic, and state-of-the-art machine learning concepts allowing us to overcome the central challenge of missing counterfactuals, which generally impedes assessing economic downstream consequences of algorithmic discrimination. This way, we are able to precisely quantify downstream efficiency and welfare ramifications, which provides us a unique opportunity to assess whether the introduction of an AI system is actually desirable. Our results highlight that AI systems’ capabilities in enhancing welfare critically depends on the degree of inherent algorithmic biases. While an unbiased system in our setting outperforms humans and creates substantial welfare gains, the positive impact steadily decreases and ultimately reverses the more biased an AI system becomes. We show that this relation is particularly concerning in selective-labels environments, i.e., settings where outcomes are only observed if decision-makers take a particular action so that the data is selectively labeled, because commonly used technical performance metrics like the precision measure are prone to be deceptive. Finally, our results depict that continued learning, by creating feedback loops, can remedy algorithmic discrimination and associated negative effects over time.
Background: Complications after surgery for esophageal cancer are associated with significant resource utilization. The aim of this study was to analyze the economic burden of two frequently used endoscopic treatments for anastomotic leak management after esophageal surgery: Treatment with a Self-expanding Metal Stent (SEMS) and Endoscopic Vacuum Therapy (EVT).
Materials and methods: Between January 2012 and December 2016, we identified 60 German-Diagnosis Related Group (G-DRG) cases of patients who received a SEMS and / or EVT for esophageal anastomotic leaks. Direct costs per case were analyzed according to the Institute for Remuneration System in Hospitals (InEK) cost-accounting approach by comparing DRG payments on the case level, including all extra fees per DRG catalogue.
Results: In total, 60 DRG cases were identified. Of these, 15 patients were excluded because they received a combination of SEMS and EVT. Another 6 cases could not be included due to incomplete DRG data. Finally, N = 39 DRG cases were analyzed from a profit-center perspective. A further analysis of the most frequent DRG code -G03- including InEK cost accounting, revealed almost twice the deficit for the EVT group (N = 13 cases, € - 9.282 per average case) compared to that for the SEMS group (N = 9 cases, € - 5.156 per average case).
Conclusion: Endoscopic treatments with SEMS and EVT for anastomotic leaks following oncological Ivor Lewis esophagectomies are not cost-efficient for German hospitals. Due to longer hospitalization and insufficient reimbursements, EVT is twice as costly as SEMS treatment. An adequate DRG cost compensation is needed for SEMS and EVT.