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Nowcasting world trade with machine learning: A three-step approach

Chinn, Menzie David; Meunier, Baptiste; Stumpner, Sebastian - 2023

We nowcast world trade using machine learning, distinguishing between tree-based methods (random forest, gradient boosting) and their regression-based counterparts (macroeconomic random forest, linear gradient boosting). While much less used in the literature, the latter are found to outperform...

Persistent link: https://www.econbiz.de/10014374780

Implikationen von Machine Learning auf das Datenmanagement in Unternehmen

Kessler, René; Gómez, Jorge Marx - In: HMD Praxis der Wirtschaftsinformatik 57 (2020) 1, pp. 89-105

Machine Learning ist ein Forschungsfeld mit großen Potenzialen und weitreichenden Anwendungspotenzialen. Big Data kann dabei als Enabler angesehen werden, da große und qualitativ hochwertige Daten stets die Grundlage für erfolgreiche Machine Learning-Algorithmen und -Modelle darstellen....

Persistent link: https://www.econbiz.de/10014504476

Big Data y Algoritmos para la Medición de la Pobreza y el Desarrollo

Sosa Escudero, Walter - 2023

Eritrea es un pequeño país del noreste de África, al que casi todos los rankings ubican entre los tres más pobres del mundo. Eritrea hace 30 años que no tiene un censo (Jerven, 2013). Eritrea es como un hipertenso severo que no puede medirse la presión, que no puede consultar a un médico....

Persistent link: https://www.econbiz.de/10014518145

Principles and practicalities for measuring child poverty in the rich countries

Corak, Miles - 2005

poverty. The choices that must be made are clarified, and a set of six principles to serve as a guide for public policy are … stated. The second objective is to take stock of child poverty and changes in child poverty in the majority of OECD countries … formulate a number of suggestions for the setting of credible targets for the elimination of child poverty in the rich countries …

Persistent link: https://www.econbiz.de/10010267535

Improving short-term demand forecasting for short-lifecycle consumer products with data mining techniques

Maaß, Dennis; Spruit, Marco; de Waal, Peter - In: Decision Analytics 1 (2014) 1, pp. 1-17

Today's economy is characterized by increased competition, faster product development and increased product differentiation. As a consequence product lifecycles become shorter and demand patterns become more volatile which especially affects the retail industry. This new situation imposes...

Persistent link: https://www.econbiz.de/10011656506

Scraping the demos. Digitalization, web scraping and the democratic project

Ulbricht, Lena - In: Democratization 27 (2020) 3, pp. 426-442

Scientific, political and bureaucratic elites use epistemic practices like “big data analysis” and “web scraping” to create representations of the citizenry and to legitimize policymaking. I develop the concept of “demos scraping” for these practices of gaining information about...

Persistent link: https://www.econbiz.de/10012222234

Machine Learning Anwendungen in der betrieblichen Praxis: Praktische Empfehlungen zur betrieblichen Mitbestimmung

Thieltges, Andree - 2020

KI-Modelle und Machine-Learning-Anwendungen halten Einzug in die alltägliche Praxis von Unternehmen und können mitbestimmt werden. Um die Interessen und Rechte der Beschäftigten zu berücksichtigen und zu schützen, sollten die aktuellen Regelungen in betrieblichen IT-Vereinbarungen...

Persistent link: https://www.econbiz.de/10012669333

Machine learning methods in finance: Recent applications and prospects

Hoang, Daniel; Wiegratz, Kevin - 2022

We study how researchers can apply machine learning (ML) methods in finance. We first establish that the two major categories of ML (supervised and unsupervised learning) address fundamentally different problems than traditional econometric approaches. Then, we review the current state of...

Persistent link: https://www.econbiz.de/10013471329

Modeling organizational performance with machine learning

Pap, Jozsef; Makó, Csaba; Illessy, Miklos; Kis, Norbert; … - In: Journal of Open Innovation: Technology, Market, and … 8 (2022) 4, pp. 1-19

Identifying the performance factors of organizations is of utmost importance for labor studies for both empirical and theoretical research. The present study investigates the essential intra- and extra-organizational factors in determining the performance of firms using the European Company...

Persistent link: https://www.econbiz.de/10014329677

A bibliometric analysis of machine learning econometrics in asset pricing

Zapata, Hector O.; Mukhopadhyay, Supratik - In: Journal of Risk and Financial Management 15 (2022) 11, pp. 1-17

measurement in economics. Unlike econometrics, ML models are not designed for parameter estimation and inference, but similar to …

Persistent link: https://www.econbiz.de/10014332691

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