I’d like to present the newest version of my paper📜 on the effect of criminalizing the purchase of prostitution on rape. Recently, several countries, such as Sweden, Norway, Canada, Israel or France;
criminalized the purchase of prostitution without empirical evidence on (1/N)
its impacts. This paper is one of the first to provide causal evidence on the effects of this policy.
In the previous version of the article I used IV, fuzzy DID and an event study leveraging variation on fines for sex purchase to estimate the effect of the ban on rape. (2/N)
Hence, none of my results used the ban introduction per se. After attending two conferences in the last month (and receiving many great comments!💪), I added two new specifications exploiting the date in which the ban was introduced in a regression discontinuity framework. (3/N)
Namely, I use a regression discontinuity in time (RDiT) estimator and a difference in RDiT estimator. I find that this regulation increased the number of reported rapes by 44%–62%. It is encouraging to find that results are robust across estimators. (4/N)
Next, I explore several mechanisms and find supporting evidence of a change in the demand of prostitution.
Such findings might be interpreted in different ways. It might be thought they are due to a substitutive relationship between prostitution and rape. (5/N)
Likewise, it might be considered that they are due to prostitution being as “paid rape”. To this extent, further research and better data are needed. I hope this article might raise awareness on the importance of this topic. Thanks for reading! (6/N)
P.S. Writing this paper was as writing five papers🤯 since in order to build a compelling case on these findings I used five different specifications and compared results among them.🫠 (7/N)
Comments are welcome!💃 Specially if you suggest to use a different metric technique!🤣
You can find the most recent version of the manuscript below (N/N) sites.google.com/site/riccardoc…
Great consideration by @MartinKulldlrff. If we could apply these notions also in this case it'd be great. Any paper might be criticised but first it is key to read it and understand the methodology it uses.