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) |
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| Year | 2020 |
| Edition | 1st ed. 2020. |
| Authors | Nermend, Kesra editor Łatuszyńska, Małgorzata editor SpringerLink (Online service) |
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| Links to the text | Location | Volume | Call No. | Barcode No. | Status | Comments | ISBN | Printed | Restriction | Reserve |
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| Links to the text | Library Off-campus access |
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OB00173857 | Springer Economics and Finance eBooks (電子ブック) | 9783030302511 |
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| 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:Experimental economics LCSH:Econometrics LCSH:Social sciences—Data processing FREE:Experimental Economics FREE:Econometrics FREE:Computer Application in Social and Behavioral Sciences |
| Classification | LCC:HB131-147 DC23:330 |
| ID | 8000066204 |
| ISBN | 9783030302511 |
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