Arbeitspapier
Logistic regression for extremely rare events: The case of school shootings
School shootings are often used in public policy debate as a justification for increased regulation, based on qualitative arguments. However, to date, no effort has been made to find valid quantitative evidence for the claims bolstering the regulation recommendations. In defense of this absence of evidence, it is usually argued that the rarity of such events does not allow the employment of quantitative methods. This paper, using a simulation study, shows that, based on the number of shool shootings in the United States and Germany combined, the well-known method of logistic regression can be applied to a case-control study, making it possible to at least test for an association between hypothesized influential variables and the occurrences. Moderate relative risks, explained by an observed variable, would lead to a high power of the appropriate test. A moderate numbers of cases generated by such a variable would suffice to show a significant association.
- Sprache
-
Englisch
- Erschienen in
-
Series: MAGKS Joint Discussion Paper Series in Economics ; No. 35-2013
- Klassifikation
-
Wirtschaft
Single Equation Models; Single Variables: Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
Multiple or Simultaneous Equation Models: Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
Health: Government Policy; Regulation; Public Health
Criminal Law
- Thema
-
Rare Events
Logistic Regression
Case-Control Studies
School Shootings
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Westphal, Christian
- Ereignis
-
Veröffentlichung
- (wer)
-
Philipps-University Marburg, Faculty of Business Administration and Economics
- (wo)
-
Marburg
- (wann)
-
2013
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:41 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Westphal, Christian
- Philipps-University Marburg, Faculty of Business Administration and Economics
Entstanden
- 2013
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