{"id":5580,"date":"2023-03-07T11:37:17","date_gmt":"2023-03-07T19:37:17","guid":{"rendered":"https:\/\/economics.ucr.edu\/?p=5580"},"modified":"2023-05-31T07:12:48","modified_gmt":"2023-05-31T14:12:48","slug":"econometrics-seminars-spring-2023","status":"publish","type":"post","link":"https:\/\/economics.ucr.edu\/econometrics-seminars-spring-2023\/","title":{"rendered":"Econometrics Seminars Spring 2023"},"content":{"rendered":"

Econometrics Seminars Spring 2023<\/h2><\/span>
<\/div><\/div><\/div>

Thursday, 3:30-4:50 pm
\nIn-Person Seminars will be held in Sproul 2206.
\nZoom meeting ID\u2019s will be emailed out before each seminar.<\/p>\n

Questions? Contact Ruoyao Shi<\/a><\/p>\n

When available, the papers may be downloaded as pdf files, which can be read or printed using the Acrobat Reader.<\/p>\n<\/div>\n

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
DATE<\/th>\nNAME<\/th>\nTITLE OF PRESENTATION<\/th>\n<\/tr>\n<\/thead>\n
4\/06\/2023
\n*<\/span>Sproul 2206
\n<\/strong><\/td>\n		Kirill Ponomarev (University of Chicago)<\/td>\nSelecting Inequalities for Sharp Identification in Models with Set-Valued Predictions<\/td>\n<\/tr>\n
4\/13\/2023
\n*<\/span>Sproul 2206
\n<\/strong><\/td>\n		Yinchu Zhu (Brandeis University)<\/td>\nPhase Transition of the Monotonicity Assumption in Learning Local Average Treatment Effects<\/a><\/td>\n<\/tr>\n
4\/20\/2023
\n*<\/span>Sproul 2206
\n<\/strong><\/td>\n		Shuyang Sheng (UCLA)<\/td>\nSocial Interactions with Endogenous Group Formation<\/td>\n<\/tr>\n
4\/27\/2023
\n*<\/span>Sproul 2206
\n<\/strong><\/td>\n		Anh Tran (UCR)<\/td>\nForecasting Discrete Outcomes Using Many Highly Correlated Predictors<\/td>\n<\/tr>\n
5\/04\/2023
\n*<\/span><\/strong>Sproul 2206<\/strong>
\n<\/strong><\/td>\n		Euncheol Shin (Korea Advanced Institute of Science & Technology)<\/td>\nOptimal Influence Design in Networks<\/a><\/td>\n<\/tr>\n
5\/11\/2023
\n*<\/span>Sproul 2206<\/strong><\/td>\n		Tao Wang (University of Victoria, Canada)<\/td>\nDistributed Learning for Kernel Mode-Based Regression<\/a><\/td>\n<\/tr>\n
5\/18\/2023
\n*<\/span>Sproul 2206<\/strong><\/td>\n		Yingyao Hu (Johns Hopkins University)<\/td>\nRevealing Unobservables by Deep Learning: Generative Element Extraction Networks (GEEN) <\/a><\/td>\n<\/tr>\n
5\/25\/2023
\n*<\/span><\/strong>Sproul 2206<\/strong>
\n<\/strong><\/td>\n		TBD<\/td>\n<\/td>\n<\/tr>\n
6\/01\/2023
\n*<\/span><\/strong>Sproul 2206<\/strong><\/td>\n		Yifei Ding (UCR)<\/td>\nDeep learning for individual heterogeneity with generated regressors<\/td>\n<\/tr>\n
6\/08\/2023
\n*<\/span><\/strong>Sproul 2206
\n<\/strong><\/td>\n		Yong Ju Lee (UCR)<\/td>\nNonparametric estimation of structural equation under conditional heteroscedasticity<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n
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