HERMES-Catalog

Experimental and Quantitative Methods in Contemporary Economics : Computational Methods in Experimental Economics (CMEE) 2018 Conference / edited by Kesra Nermend, Małgorzata Łatuszyńska
(Springer Proceedings in Business and Economics. ISSN:21987254)

Publisher	(Cham : Springer International Publishing : Imprint: Springer)
Year	2020
Edition	1st ed. 2020.
Authors	Nermend, Kesra editor Łatuszyńska, Małgorzata editor SpringerLink (Online service)

Links to the text	Location	Volume	Call No.	Barcode No.	Status	Comments	ISBN	Printed	Restriction	Reserve
Links to the text	Library Off-campus access			OB00148097		Springer Economics and Finance eBooks (電子ブック)	9783030302511

Material Type	E-Book
Media type	機械可読データファイル
Size	IX, 379 p. 87 illus., 48 illus. in color : online resource
Notes	Contemporary economists, when analyzing economic behavior of people, need to use the diversity of research methods and modern ways of discovering knowledge. The increasing popularity of using economic experiments requires the use of IT tools and quantitative methods that facilitate the analysis of the research material obtained as a result of the experiments and the formulation of correct conclusions. This proceedings volume presents problems in contemporary economics and provides innovative solutions using a range of quantitative and experimental tools. Featuring selected contributions presented at the 2018 Computational Methods in Experimental Economics Conference (CMEE 2018), this book provides a modern economic perspective on such important issues as: sustainable development, consumption, production, national wealth, the silver economy, behavioral finance, economic and non-economic factors determining the behavior of household members, consumer preferences, social campaigns, and neuromarketing. International case studies are also offered HTTP:URL=https://doi.org/10.1007/978-3-030-30251-1
Subjects	LCSH:Behavioral economics LCSH:Econometrics LCSH:Application software FREE:Behavioral/Experimental Economics FREE:Econometrics FREE:Computer Appl. in Social and Behavioral Sciences
Classification	LCC:HB71-74 DC23:330.01
ID	8000066204
ISBN	9783030302511