Estimation of structural models using experimental data from the lab and the field:
Behavioral economics provides a rich set of explicit models of non-classical preferences and belief formation which can be used to estimate structural models of decision making. At the same time, experimental approaches allow the researcher to exogenously vary components of the decision making envir...
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge
Cambridge University Press
2023
|
| Series: | Cambridge elements
|
| Subjects: | |
| Online Access: | BSB01 UBG01 UBW01 Volltext |
| Summary: | Behavioral economics provides a rich set of explicit models of non-classical preferences and belief formation which can be used to estimate structural models of decision making. At the same time, experimental approaches allow the researcher to exogenously vary components of the decision making environment |
| Item Description: | Also issued in print: 2023. - Includes bibliographical references |
| Physical Description: | 1 Online-Ressource (72 Seiten) Illustrationen |
| ISBN: | 9781009362627 |
| DOI: | 10.1017/9781009362627 |
Staff View
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Record in the Search Index
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| discipline | Wirtschaftswissenschaften |
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| id | DE-604.BV048862940 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T21:42:35Z |
| indexdate | 2024-07-10T09:48:10Z |
| institution | BVB |
| isbn | 9781009362627 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034128022 |
| oclc_num | 1369553823 |
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| owner_facet | DE-12 DE-473 DE-BY-UBG DE-20 |
| physical | 1 Online-Ressource (72 Seiten) Illustrationen |
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| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Cambridge University Press |
| record_format | marc |
| series2 | Cambridge elements |
| spelling | Bellemare, Charles 1975- (DE-588)171921003 aut Estimation of structural models using experimental data from the lab and the field Charles Bellemare Cambridge Cambridge University Press 2023 1 Online-Ressource (72 Seiten) Illustrationen txt rdacontent sti rdacontent c rdamedia cr rdacarrier Cambridge elements Also issued in print: 2023. - Includes bibliographical references Behavioral economics provides a rich set of explicit models of non-classical preferences and belief formation which can be used to estimate structural models of decision making. At the same time, experimental approaches allow the researcher to exogenously vary components of the decision making environment Economics / Psychological aspects / Methodology Erscheint auch als Druck-Ausgabe 978-1-00-936263-4 https://doi.org/10.1017/9781009362627 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Bellemare, Charles 1975- Estimation of structural models using experimental data from the lab and the field Economics / Psychological aspects / Methodology |
| title | Estimation of structural models using experimental data from the lab and the field |
| title_auth | Estimation of structural models using experimental data from the lab and the field |
| title_exact_search | Estimation of structural models using experimental data from the lab and the field |
| title_exact_search_txtP | Estimation of structural models using experimental data from the lab and the field |
| title_full | Estimation of structural models using experimental data from the lab and the field Charles Bellemare |
| title_fullStr | Estimation of structural models using experimental data from the lab and the field Charles Bellemare |
| title_full_unstemmed | Estimation of structural models using experimental data from the lab and the field Charles Bellemare |
| title_short | Estimation of structural models using experimental data from the lab and the field |
| title_sort | estimation of structural models using experimental data from the lab and the field |
| topic | Economics / Psychological aspects / Methodology |
| topic_facet | Economics / Psychological aspects / Methodology |
| url | https://doi.org/10.1017/9781009362627 |
| work_keys_str_mv | AT bellemarecharles estimationofstructuralmodelsusingexperimentaldatafromthelabandthefield |