Ullah, S, Zaefarian, G orcid.org/0000-0001-5824-8445, Ahmed, R et al. (1 more author) (2021) How to apply the event study methodology in STATA: An overview and a step-by-step guide for authors. Industrial Marketing Management, 99. A1-A12. ISSN 0019-8501
Abstract
The event study methodology, which is gaining recognition in the business and marketing disciplines, is a technique used to capture the impact of significant events and announcements at the firm level and country level. Originating from the finance and economics disciplines, and being widely used in the finance literature, the method has recently attracted the attention of business and marketing researchers, particularly in the aftermath of Covid-19, which has adversely affected all kinds of businesses across the world. The event study methodology can be implemented to measure the impact of a major corporate announcement (e.g. new product development) or a significant event on corporate financial performance, profitability, and market valuation over a specific event window, such as a few days (a short window) or a few years (a long window). In this article, we provide a detailed explanation of the step-by-step procedure for implementing the event study methodology in STATA, using Covid-19-related death announcements from the United States, France, Spain, Italy, China, and the United Kingdom. We also provide STATA commands that can be used by researchers when implementing the event study methodology.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 Elsevier Inc. All rights reserved. This is an author produced version of an article published in Industrial Marketing Management . Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Corporate announcement; Covid-19; Event study; Research methodology; STATA commands |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Marketing Division (LUBS) |
Depositing User: | Symplectic Publications |
Date Deposited: | 26 Mar 2021 14:16 |
Last Modified: | 22 Mar 2023 01:13 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.indmarman.2021.02.004 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:172523 |