Artikel
Testing the Perturbation Sensitivity of Abortion-Crime Regressions
The hypothesis that the legalisation of abortion contributed significantly to the reduction of crime in the United States in 1990s is one of the most prominent ideas from the recent 'economics-made-fun' movement sparked by the book Freakonomics. This paper expands on the existing literature about the computational stability of abortion-crime regressions by testing the sensitivity of coefficients' estimates to small amounts of data perturbation. In contrast to previous studies, we use a new data set on crime correlates for each of the US states, the original model specifica-tion and estimation methodology, and an improved data perturbation algorithm. We find that the coefficients' estimates in abortion-crime regressions are not computationally stable and, therefore, are unreliable.
- Language
-
Englisch
- Bibliographic citation
-
Journal: Contemporary Economics ; ISSN: 2084-0845 ; Volume: 6 ; Year: 2012 ; Issue: 2 ; Pages: 58-63 ; Warsaw: Vizja Press & IT
- Classification
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Wirtschaft
Model Evaluation, Validation, and Selection
Fertility; Family Planning; Child Care; Children; Youth
Illegal Behavior and the Enforcement of Law
- Subject
-
abortion
crime
computational stability
perturbation test
- Event
-
Geistige Schöpfung
- (who)
-
Brzeziński, Michał
Halber, Maria
- Event
-
Veröffentlichung
- (who)
-
Vizja Press & IT
- (where)
-
Warsaw
- (when)
-
2012
- DOI
-
doi:10.5709/ce.1897-9254.41
- Handle
- Last update
-
10.03.2025, 11:45 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Brzeziński, Michał
- Halber, Maria
- Vizja Press & IT
Time of origin
- 2012
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