Work

Experimental Economics and Machine Learning for Prediction of Emergent Economy Dynamics

Year: 2019

Type: report

Abstract: This is an introductory text to a collection of selected papers from the M3E2 2019: The 8th International Conference on Monitoring, Modeling & Management of Emergent Economy, which was held in Odessa, Ukraine, on the May 22-24, 2019. It consists of short introducation and some observations about the event and its future.

DOI: 10.31812/123456789/3209

Authors: Arnold Kiv, Serhiy Semerikov, Vladimir Soloviev, Liubov Kibalnyk, Hanna Danylchuk, Andriy Matviychuk

Institutions: Ben-Gurion University of the Negev, Cherkasy National University, Kryvyi Rih State Pedagogical University, Kyiv National Economic University named after Vadym Hetman

Language: English

Topic: Economic Theory and Institutions

Subfield: Economics and Econometrics

Field: Economics, Econometrics and Finance

Domain: Social Sciences

SDG: Decent work and economic growth

Open Access status: gold

OpenAlex ID: W3011129986

Cites: 5

Cited by: 26

Related to: 10