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Three essays in dynamic macroeconomics
Levy, Daniel C. - 1990
Persistent link: https://www.econbiz.de/10000863257
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Psychology, preferences, and markets
Benjamin, Daniel J. - 2006
Persistent link: https://www.econbiz.de/10003965084
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Forecasting Methods in Crime and Justice
Berk, Richard - 2008
Researchers who study crime and justice have been forecasting a variety of outcomes for nearly a century. Perhaps the … forecasts have been properly evaluated. In the hope of improving crime and justice forecasts in the future, this article reviews … modern forecasting methods and their applications to crime and justice questions. Among the key challenges for researchers …
Persistent link: https://www.econbiz.de/10012768142
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Can Justices Predict Case Outcomes at Oral Arguments?
Johnson, Timothy R. - 2010
Persistent link: https://www.econbiz.de/10013140278
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Fairness in machine learning and econometrics
Centorrino, Samuele; Florens, Jean-Pierre; Loubes, … - In: Econometrics with Machine Learning, (pp. 217-250). 2022
Persistent link: https://www.econbiz.de/10013447857
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Actuarial fairness when longevity increases : an evaluation of the Italian pension system
Belloni, Michele; Maccheroni, Carlo - In: The Geneva papers on risk and insurance - issues and … 38 (2013) 4, pp. 638-674
Persistent link: https://www.econbiz.de/10010206710
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Performance of a reciprocity model in predicting a positive reciprocity decision
Bhirombhakdi, Kornpob; Potipiti, Tanapong - In: Chulalongkorn journal of economics 23 (2011), pp. 77-93
Persistent link: https://www.econbiz.de/10010254922
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SAFE artificial intelligence in finance
Giudici, Paolo; Raffinetti, Emanuela - In: Finance research letters 56 (2023), pp. 1-14
Persistent link: https://www.econbiz.de/10014473670
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Regulatory Arbitrage or Random Errors? Implications of Race Prediction Algorithms in Fair Lending Analysis
Greenwald, Daniel; Howell, Sabrina T.; Li, Cangyuan; … - National Bureau of Economic Research - 2023
When race is not directly observed, regulators and analysts commonly predict it using algorithms based on last name and address. In small business lending--where regulators assess fair lending law compliance using the Bayesian Improved Surname Geocoding (BISG) algorithm--we document large...
Persistent link: https://www.econbiz.de/10014337878
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Regulatory Arbitrage or Random Errors? Implications of Race Prediction Algorithms in Fair Lending Analysis
Greenwald, Daniel; Howell, Sabrina T.; Li, Cangyuan; … - 2023
Proxies for race are commonly used in settings where race cannot be observed directly. In the context of small business lending, we examine the standard race prediction algorithm (BISG), which regulators use to assess compliance with fair lending laws. The algorithm relies on an individual’s...
Persistent link: https://www.econbiz.de/10014343064