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UID:event-8338@www.amse-aixmarseille.fr
DTSTAMP:20260625T082741Z
CREATED:20260625T082741Z
LAST-MODIFIED:20260625T082741Z
STATUS:CONFIRMED
SEQUENCE:0
SUMMARY:phd seminar - Julieta Peveri*\, Zheng Wang**
DTSTART:20211012T090000Z
DTEND:20211012T103000Z
DESCRIPTION:*While the role of interest groups' contributions in shaping po
 licies has been well-studied\, little is known about their effects on elect
 oral outcomes. This paper exploits a Brazilian reform that banned firms' co
 ntributions to provide evidence in this regard. I use a weighted difference
 s-in-differences strategy exploiting variation in municipalities' and candi
 dates' dependence on firms' funding before the reform. I find that the ban 
 had little effect on the composition of the pool of candidates. However\, i
 t deteriorated the electoral advantage of low-educated incumbents and of in
 cumbents from traditional political parties. The negative effects for incum
 bents are concentrated in oil-dependent municipalities\, where rent-seeking
  is more likely\, and in localities with low economic growth and high morta
 lity rates. These results are consistent with the reform crowding out incum
 bents who heavily relied on the financial advantage to be re-elected rather
  than on a good performance while in power. Yet\, the ban also discouraged 
 women from running for office\, suggesting adverse effects for candidates w
 ith higher fund-raising costs.**Endogeneity of network formation is a major
  obstacle for the causal identification of peer effect in non-experimental 
 studies.  In this paper I first propose a causal framework to analyze cont
 extual peer effect where novel peer effects are defined in terms of causal 
 estimands instead of the usual linear-in-means regression coefficients. The
 n I develop a new propensity score based identification strategy for endoge
 nously formed networks. The causal peer effect estimators proposed in this 
 paper are straightforward to implement with existing statistical packages\,
  but do not suffer from the usual criticisms that propensity score methods 
 face due to the nature of network data. Finally\, with AddHealth data\, I a
 pply the methodology to study the causal effect of having second generation
  high school friends\, those who have at least one parent with college educ
 ation\, on one’s own probability of going on to pursue a college degree. 
 Preliminary analysis shows that having more second eneration friends is ben
 eficial to first generation students\, even after controlling for friendsâ€
 ™ ability.\\n\\nContact: Kenza Elass : kenza.elass[at]univ-amu.frCamille Ha
 innaux : camille.hainnaux[at]univ-amu.frDaniela Horta Saenz : daniela.horta
 -saenz[at]univ-amu.frJade Ponsard : jade.ponsard[at]univ-amu.fr\n\nPlus d'i
 nformations: https://www.amse-aixmarseille.fr/fr/evenements/julieta-peveri-
 zheng-wang
LOCATION:ÃŽlot Bernard du Bois - Salle 21\, AMU - AMSE\, 5-9 boulevard Maur
 ice Bourdet\, 13001 Marseille
URL;VALUE=URI:https://www.amse-aixmarseille.fr/fr/evenements/julieta-peveri-zheng-wang
CONTACT:Kenza Elass : kenza.elass[at]univ-amu.frCamille Hainnaux : camille.
 hainnaux[at]univ-amu.frDaniela Horta Saenz : daniela.horta-saenz[at]univ-am
 u.frJade Ponsard : jade.ponsard[at]univ-amu.fr
TRANSP:OPAQUE
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