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Machine learning econometrics : Bayesian algorithms and methods

Korobilis, Dimitris; Pettenuzzo, Davide - 2020

Persistent link: https://www.econbiz.de/10012243263

Machine learning econometrics : Bayesian algorithms and methods

Korobilis, Dimitris; Pettenuzzo, Davide - 2020

Persistent link: https://www.econbiz.de/10012660846

Mind the gap : accounting for measurement error and misclassification in variables generated via data mining

Yang, Mochen; Adomavicius, Gediminas; Burtch, Gordon; … - In: Information systems research : ISR 29 (2018) 1, pp. 4-24

Persistent link: https://www.econbiz.de/10011866140

Correcting misclassification bias in regression models with variables generated via data mining

Qiao, Mengke; Huang, Ke-Wei - In: Information systems research : ISR 32 (2021) 2, pp. 462-480

Persistent link: https://www.econbiz.de/10012599859

Handling missing values in information systems research : a review of methods and assumptions

Peng, Jiaxu; Hahn, Jungpil; Huang, Ke-Wei - In: Information systems research : ISR 34 (2023) 1, pp. 5-26

Persistent link: https://www.econbiz.de/10014323272

Twenty steps towards an adequate inferential interpretation of p-values in econometrics

Hirschauer, Norbert; Grüner, Sven; Mußhoff, Oliver; … - In: Jahrbücher für Nationalökonomie und Statistik 239 (2019) 4, pp. 703-721

Persistent link: https://www.econbiz.de/10012040176

Using large samples in econometrics

MacKinnon, James G. - 2021

As I document using evidence from a journal data repository that I manage, the datasets used in empirical work are getting larger. When we use very large datasets, it can be dangerous to rely on standard methods for statistical inference. In addition, we need to worry about computational issues....

Persistent link: https://www.econbiz.de/10012815681

Inference for an algorithmic fairness-accuracy frontier

Liu, Yiqi; Molinari, Francesca - 2025 - This draft: June 13, 2025

literature, such as (i) whether excluding group identity from use in training the algorithm is optimal and (ii) whether there are … less discriminatory alternatives to a given algorithm. In addition, we construct an estimator for the distance between a … given algorithm and the fairest point on the frontier, and characterize its asymptotic distribution. Using Monte Carlo …

Persistent link: https://www.econbiz.de/10015419993

Distributional synthetic controls

Gunsilius, F. F. - In: Econometrica : journal of the Econometric Society, an … 91 (2023) 3, pp. 1105-1117

Persistent link: https://www.econbiz.de/10014309732

Simplicity, scientific inference and econometric modelling

Keuzenkamp, Hugo A.; McAleer, Michael - 1995

Persistent link: https://www.econbiz.de/10000904872