Network Econometrics Juniors’ Conference
October 4-5, 2019
Kellogg Global Hub, Room 1410
Organizers
Eric Auerbach, Northwestern University
SPEAKERS
Inference in Models of Discrete Choice with Social Interactions Using Network Data
Michael Leung, University of Southern California
Recovering Social Networks from Panel Data: Identification, Simulations and an Application
Pedro Souza, University of Warwick
Estimation of Social Interactions in Endogenous and Strategically Formed Networks
Shuyang Sheng, University of California, Los Angeles
Estimating network connections using legislators’ effectiveness: a graphical lasso approach
Sida Peng, Microsoft Research
(Mis)matching to Good Suppliers: Evidence from Transactions Microdata
Paolo Zacchia, CERGE-EI & IMT Lucca
Identification and Estimation in Many-to-One Two-Sided Matching without Transfers
Shruti Sinha, Toulouse School of Economics
Treatment Effects With Heterogeneous Externalities
Tiziano Arduini, University of Bologna
A Graph Theoretic Approach to Randomization Tests of Causal Effects Under Interference
Panos Toulis, University of Chicago, Booth School
Nonparametric estimation of distance functions in network formation models with fixed effects
Peter Toth, University of Nevada, Reno
Inference for Networks Under a General Form of Weak Dependence
Denis Kojenikov, The University of British Columbia
Partial Identification and inference in nonparametric one-to-one matching models
Cristina Gualdani, Toulouse School of Economics
Title: TBA
Hyunseung Kang, University of Wisconsin
Rationality, Error, and Random Revealed Preferences
Aluma Dembo, University of Oxford
Name Your Friends but only Five? The Importance of Censoring in Peer Effects Estimates using Social Network Data.
Alan Griffith, University of Washington
Nonparametric Identification in Index Models of Link Formation
Wayne Gao, University of Pennsylvania
Spectral inference for large Stochastic Blockmodels with nodal covariates
Angelo Mele, Johns Hopkins University, Carey Business School
Presentation Slides