Case-control method for studying rare events / Nitin Pangarkar.

Format:

Book

Author/Creator:

Pangarkar, Nitin, author.

Series:

SAGE Research Methods. Cases.

SAGE Research Methods. Cases

Language:

English

Subjects (All):

Strategic alliances (Business)--Research.

Strategic alliances (Business).

Business planning.

Strategic planning.

Physical Description:

1 online resource.

Place of Publication:

London : SAGE Publications Ltd, 2019.

Summary:

Many research questions in business involve studying rare outcomes. For instance, I and two co-authors were interested in studying whether having a large portfolio of strategic alliances reduces the likelihood of an individual alliance by the firm being expanded. While expansion may not be rare by itself, the reporting of alliance expansions in secondary data sources is inconsistent, implying that one will observe only a limited number of instances of alliance expansions. We observed less than 100 alliance expansion announcements in a database of several thousand announcements related to alliances and acquisitions. Although the issue can be tackled by simply examining a larger sample of alliances, it is resource-intensive because we would have needed to collect data on a larger sample of alliances. We chose to use the case-control method in which we created a sample of expanded alliances (called cases) and a sample of unexpanded alliances that were matched (individually) with the expanded alliances (called controls) in some aspects but differed on some other dimensions. The method allowed us to focus on a smaller sample of selected alliances instead of studying a large population of alliances to increase the number of expanded alliances we observed, thus conserving precious resources. We could also perform robust statistical analyses on the pooled sample (cases and controls) of alliances that we had created. The larger sample and firm statistical grounding added credibility to the results.

Notes:

Includes bibliographical references and index.

Description based on XML content.

ISBN:

1-5264-8507-9

9781526485076

OCLC:

1084521337