Conducting Research in Marketing with Quasi-Experiments
<jats:p> This article aims to broaden the understanding of quasi-experimental methods among marketing scholars and those who read their work by describing the underlying logic and set of actions that make their work convincing. The purpose of quasi-experimental methods is, in the absence of ex...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publications
2022
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| Online Access: | https://hdl.handle.net/1721.1/144251 |
| _version_ | 1811069452121276416 |
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| author | Goldfarb, Avi Tucker, Catherine Wang, Yanwen |
| author2 | Sloan School of Management |
| author_facet | Sloan School of Management Goldfarb, Avi Tucker, Catherine Wang, Yanwen |
| author_sort | Goldfarb, Avi |
| collection | MIT |
| description | <jats:p> This article aims to broaden the understanding of quasi-experimental methods among marketing scholars and those who read their work by describing the underlying logic and set of actions that make their work convincing. The purpose of quasi-experimental methods is, in the absence of experimental variation, to determine the presence of a causal relationship. First, the authors explore how to identify settings and data where it is interesting to understand whether an action causally affects a marketing outcome. Second, they outline how to structure an empirical strategy to identify a causal empirical relationship. The article details the application of various methods to identify how an action affects an outcome in marketing, including difference-in-differences, regression discontinuity, instrumental variables, propensity score matching, synthetic control, and selection bias correction. The authors emphasize the importance of clearly communicating the identifying assumptions underlying the assertion of causality. Last, they explain how exploring the behavioral mechanism—whether individual, organizational, or market level—can actually reinforce arguments of causality. </jats:p> |
| first_indexed | 2024-09-23T08:10:43Z |
| format | Article |
| id | mit-1721.1/144251 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T08:10:43Z |
| publishDate | 2022 |
| publisher | SAGE Publications |
| record_format | dspace |
| spelling | mit-1721.1/1442512023-03-29T20:05:54Z Conducting Research in Marketing with Quasi-Experiments Goldfarb, Avi Tucker, Catherine Wang, Yanwen Sloan School of Management <jats:p> This article aims to broaden the understanding of quasi-experimental methods among marketing scholars and those who read their work by describing the underlying logic and set of actions that make their work convincing. The purpose of quasi-experimental methods is, in the absence of experimental variation, to determine the presence of a causal relationship. First, the authors explore how to identify settings and data where it is interesting to understand whether an action causally affects a marketing outcome. Second, they outline how to structure an empirical strategy to identify a causal empirical relationship. The article details the application of various methods to identify how an action affects an outcome in marketing, including difference-in-differences, regression discontinuity, instrumental variables, propensity score matching, synthetic control, and selection bias correction. The authors emphasize the importance of clearly communicating the identifying assumptions underlying the assertion of causality. Last, they explain how exploring the behavioral mechanism—whether individual, organizational, or market level—can actually reinforce arguments of causality. </jats:p> 2022-08-05T16:46:49Z 2022-08-05T16:46:49Z 2022-05 2022-08-05T16:38:44Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/144251 Goldfarb, Avi, Tucker, Catherine and Wang, Yanwen. 2022. "Conducting Research in Marketing with Quasi-Experiments." Journal of Marketing, 86 (3). en 10.1177/00222429221082977 Journal of Marketing Creative Commons Attribution NonCommercial License 4.0 https://creativecommons.org/licenses/by-nc/4.0/ application/pdf SAGE Publications Sage |
| spellingShingle | Goldfarb, Avi Tucker, Catherine Wang, Yanwen Conducting Research in Marketing with Quasi-Experiments |
| title | Conducting Research in Marketing with Quasi-Experiments |
| title_full | Conducting Research in Marketing with Quasi-Experiments |
| title_fullStr | Conducting Research in Marketing with Quasi-Experiments |
| title_full_unstemmed | Conducting Research in Marketing with Quasi-Experiments |
| title_short | Conducting Research in Marketing with Quasi-Experiments |
| title_sort | conducting research in marketing with quasi experiments |
| url | https://hdl.handle.net/1721.1/144251 |
| work_keys_str_mv | AT goldfarbavi conductingresearchinmarketingwithquasiexperiments AT tuckercatherine conductingresearchinmarketingwithquasiexperiments AT wangyanwen conductingresearchinmarketingwithquasiexperiments |