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A fundamental misunderstanding of risk: The bias associated with the annualized calculation of standard deviation

Burkett, Matthew W.; Scherer, William T. - In: Cogent Economics & Finance 8 (2020) 1, pp. 1-7

Quantifiable, measurable risk is of critical importance when making data-driven decisions in finance and investment … management, but what if the generally accepted practice of the investment industry for calculating risk possessed incorrect … present a new example illustrating the bias when applied to an efficient frontier. …

Persistent link: https://www.econbiz.de/10014001402

The treatment of risk and uncertainty in the US social cost of carbon for regulatory impact analysis

Dietz, Simon - In: Economics: The Open-Access, Open-Assessment E-Journal 6 (2012) 2012-18, pp. 1-12

This note considers the treatment of risk and uncertainty in the recently established social cost of carbon (SCC) for … discounting, it mis-estimated climate risk, possibly hugely. Given the uncertainty about estimating the SCC, the note concludes by …

Persistent link: https://www.econbiz.de/10010309048

Messfehler-bedingter Bias bei kleinen Teilmengen

Hochgürtel, Tim; Wilke, Clarissa - In: WISTA – Wirtschaft und Statistik 72 (2020) 5, pp. 114-123

Die Messungen von dichotomen Individualeigenschaften können fehlerbehaftet sein. Diese Messfehler sind in der Regel nicht erkennbar und können somit nicht korrigiert werden. Damit besteht die Möglichkeit, dass Messfehler der Individualebene Aggregate wie Häufigkeiten und Anteilswerte...

Persistent link: https://www.econbiz.de/10012301869

The Balassa-Samuelson Hypothesis in Developed Countries and Emerging Market Economies: Different Outcomes Explained

García Solanes, José; Torrejón-Flores, Fernando - In: Economics: The Open-Access, Open-Assessment E-Journal 3 (2009) 2009-2, pp. 1-24

This paper studies the Balassa-Samuelson effects in two areas with strong differences in economic development, sixteen OECD countries and sixteen Latin American economies. The USA is taken as a benchmark. Applying recent panel cointegration and bootstrapping techniques that solve for...

Persistent link: https://www.econbiz.de/10010298622

Time to assess bias in machine learning models for credit decisions

Brotcke, Liming - In: Journal of Risk and Financial Management 15 (2022) 4, pp. 1-10

continue to evolve. In this paper, the author discusses unique considerations around ML in the existing fair lending risk …

Persistent link: https://www.econbiz.de/10014332366

Highly Accurate, But Still Discriminatory

Köchling, Alina; Riazy, Shirin; Wehner, Marius Claus; … - In: Business & Information Systems Engineering 63 (2020) 1, pp. 39-54

The study aims to identify whether algorithmic decision making leads to unfair (i.e., unequal) treatment of certain protected groups in the recruitment context. Firms increasingly implement algorithmic decision making to save costs and increase efficiency. Moreover, algorithmic decision making...

Persistent link: https://www.econbiz.de/10014503568

Non‐participation in smartphone data collection using research apps

Keusch, Florian; Bähr, Sebastian; Haas, Georg‐Christoph - In: Journal of the Royal Statistical Society: Series A … 185 (2022), pp. S225-S245

‐participation bias in substantive variables, including overestimation of social media usage and social network size and underestimation …

Persistent link: https://www.econbiz.de/10014504047

Selbst gemacht ist gut gemacht? Der Einfluss von Self-Service Reporting auf die Qualität von Managemententscheidungen

Stinshoff, Volker - In: Junior Management Science (JUMS) 5 (2020) 2, pp. 223-245

Instrumente des Self-Service Reportings haben das Potenzial, datengetriebene Entscheidungsfindung auf allen Ebenen zu ermöglichen oder zu erleichtern. Der Einsatz dieser Technologie wird maßgebliche Veränderungen des Entscheidungsverhaltens mit sich bringen. Bisher existieren wenige...

Persistent link: https://www.econbiz.de/10014528922

Navigating the AI frontier: European parliamentary insights on bias and regulation, preceding the AI Act

Chiappetta, Allessia - In: Internet Policy Review 12 (2023) 4, pp. 1-26

Special Committee on Artificial Intelligence in a Digital Age (AIDA) towards bias and discrimination in AI, as well as their … how MEPs perceive and comprehend bias and discrimination in AI and their stance on regulatory measures. The research … MEPs view AI as both a risk and a source of innovation, with a prevailing sense of distrust. Some MEPs consider AI sentient …

Persistent link: https://www.econbiz.de/10014634502

Missing data estimation based on the chaining technique in survey sampling

Thakur, Narendra Singh; Shukla, Diwakar - In: Statistics in Transition new series (SiTns) 23 (2022) 4, pp. 91-111

incomplete sample. The proposed strategies were found to be more efficient and bias-controllable than similar estimation …

Persistent link: https://www.econbiz.de/10015051624