Periodic Reporting for period 1 - CORNELIA (Local female politicians and their impact on corruption scandals and other crimes)
Berichtszeitraum: 2020-09-01 bis 2022-08-31
The action faced some major issues, especially in the data collection phase and related to COVID-19. However, I implemented mitigating strategy to implement my action, using slightly different data.
Overall, this project has generated three strong discussion papers over two different countries (Italy and USA) exploring the complicated relationship between politics, gender and crime from three different angles. Moreover, the analysis and tables of the investigations that I did not manage to transform in articles are still in my possession and they would be the bedrock for my future research.
Second, I collected the data. In spite of some issues in data collection and COVID-19 pandemic, I managed to collect data from Italy and the USA. The Italian dataset includes information about media coverage of corruption at municipal level and about mayoral races between 1993-1998. The USA dataset includes corruption data and information about female politicians at state level between 2000-2011. It also includes some information about the judiciary branch for North Carolina (Jury Sunshine Project) between 2010-2012.
Third, I acquired the necessary empirical knowledge to implement my analyses, by studying previous works and interacting with experts.
Forth, I Implemented my empirical analyses:
1. Using the Italian dataset, I investigated the effect of mayors’ gender on corruption scandals. I used a methodology called regression discontinuity design on mixed-gender electoral races (Lee (2008)). In broad terms, this technique takes advantage of the similarities between municipalities where a woman lost (control group) or won (treatment group) for a very small margin. My findings indicate that there is no statistically significant effect of mayors’ gender. I developed a (soon-to-be discussion) paper, called “Female Mayors and Corruption Scandals: an RDD Approach with Italian Data”.
2. I also explored the relationship between politicians’ gender and corruption in the USA. As suggested by the precedent literature (Lee (2008)), I first evaluated the relationship using graphical analysis and preliminary regressions. Overall, the results indicate that no statistically significant effect was present, although these findings are not extremely robust.
3. Using the data provided by Jury Sunshine Project, I investigated the role of female judges on the probability of guilty verdicts in jury trials. My identification strategy is based on judge’s rotation and the results indicate that female judges increase the probability of guilty verdict in jury trials. I created a working paper, called “Lady Justice: The impact of female judges on trials' verdicts in US”.
4. Using the data provided by Jury Sunshine Project, I explored the effect of jury gender composition and jury political composition on guilty verdicts. I, first, evaluated the impact of jurors’ gender compositions on the probability of guilty verdicts. My identification strategy is based on the selection of the jury pools (Anwar et al. (2012)). Jurors’ gender does not play a statistically significant impact. However, jurors’ political affiliation composition has a significant role and my findings indicate that politically independent jurors reduce the possibility of a guilty verdict. I created a working paper, called “Beyond Reasonable Doubt: The impact of jurors' political affiliation on jury trials in US”.
5. I attempted to evaluate the impact of gender in media coverage of crime. However, the lack of crime data for Italy and the low quality of US data made it impossible to implement the analyses with the necessary rigor.
6. Using the Italian data, I investigated the effect of gender quotas on corruption, using a difference-in-difference strategy. In broad terms, this technique is a quasi-experimental approach that compares the changes in outcomes over time between a group of municipalities affected by a reform (treatment group) and a group of municipalities that is not (control group). Following the approach of Baltrunaite et al (2014), I used the introduction (1993) and removal (1995) of gender quotas in candidate lists in mayoral elections. The identification strategy is based on the comparisons between those municipalities voting between June 1993 and November 1995 (treatment group) and those voting after November 1995 (control group). My findings are non-statistically significant and not particularly reliable.
Finally, I disseminated my findings. In spite of COVID-19 limitations, I managed to participate and to present in many (on-line) conferences and workshops.
First, I explored the relationship between gender and corruption in a developed country. The previous literature is more focused on the impact of female politicians on crime in developing country, while the studies in developed countries are less numerous. My article provides new evidence that indicates that the impact of female (local) politicians is not the same in every country and that the differences in institutions and politicians’ selection process matter.
Second, I evaluated the impact of various characteristics on the judiciary system. The first article investigates the effect of female judges in jury trials. This evidence contributes, on one side, to the debate of the neutrality of the justice system and how some characteristics, such as judges' gender, can lead to an increase/decrease in guilty verdicts. On the other side, it also provides new empirical about the importance of female representation in all political institutions and not only in parliaments. The second article investigates the impact of jurors’ political affiliation of juries’ outcomes. This work contributes on the ongoing debate about the role of politician affiliations in the justice system and how political ideas can have an impact of its neutrality.
Finally, I planned to continue to divulge my results not only in academic area but also in non-academic multidiscipline settings. Additionally, this project had a strong impact on my career, allowing me to obtain an assistant professorship position in Economics at the University of Southampton.