|
主讲人 |
Chih-Sheng Hsieh |
简介 |
<div>Abstract:</div>
<div>In this paper, we model network formation and network interactions under a unified framework.</div>
<div>The key feature of our model is to allow individuals to respond to incentives stemming</div>
<div>from interaction benefits on certain activities when they are choosing friends (network links).</div>
<div>There are two advantages of this modeling approach: first, one can evaluate whether incentives</div>
<div>from certain interactions are important factors for friendship formation or not. Second,</div>
<div>possible friendship selection bias on network interactions can be corrected as the network</div>
<div>formation is explicitly modeled. The proposed model is estimated by the Bayesian method.</div>
<div>In the empirical study, we apply the model to American high school students' friendship</div>
<div>networks in the Add Health dataset. From two activity variables which are considered in the</div>
<div>paper -- GPA and smoking frequency, we find a significant incentive effect from GPA, but not</div>
<div>from smoking, on friendship formation. These results suggest that the benefit of interactions</div>
<div>in academic learning is an important factor for forming friendships, while the pleasure of</div>
<div>smoking together is not. However, from the perspective of network interactions, both GPA</div>
<div>and smoking frequency are subject to significant positive interaction (peer) effects.</div>
<div> </div>
<div><a href="/EventsMgr/Upload/File/2015/4/20150415040724475.pdf">Download the paper</a></div> |
