Econometrics
Spring 2012
All seminars are on Thursdays at 3:30 in the Koo Room of Marshall-Adams Hall, unless otherwise noted.
Organizer: Peter Schmidt (schmidtp@msu.edu)
Seminar schedule coming soon.

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All seminars are on Thursdays at 3:30 in the Koo Room of Marshall-Adams Hall, unless otherwise noted.
Organizer: Peter Schmidt (schmidtp@msu.edu)
Seminar schedule coming soon.
| Date | Presenter |
|---|---|
| September 8 (Thursday) 3:30 | Badi Baltagi, Syracuse University Firm-level productivity spillovers in China’s chemical industry: a spatial Hausman-Taylor approach |
| September 15 (Thursday) 3:30 | Mehmet Caner, North Carolina State University An Alternative to Unit Root Tests: Bridge Estimators Differentiate between Nonstationary versus Stationary Models and Select Optimal Lag |
| September 22 (Thursday) 3:30 | Peter Schmidt, Michigan State University Consistent estimation of the fixed effects stochastic frontier model |
| September 29 (Thursday) 3:30 | Tim Vogelsang, Michigan State University Multivariate trend comparisons between autocorrelated climate series with general trend regressors |
| October 3 (Monday) 3:30 | Olivier Coibion, College of William and Mary Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts |
| October 6 (Thursday) 3:30 | Mark Kamstra, York University Seasonal Variation in Treasury Returns |
| November 3 (Thursday) 3:30 | Zack Miller, University of Missouri Cointegrating MiDaS Regressions and a MiDaS Test |
| November 10 (Thursday) 3:30 | Yanqin Fan, Vanderbilt University Partial identification in the ecological inference model |
| November 17 (Thursday) 3:30 | Otavio Bartalotti, Michigan State University Fixed Bandwidth Asymptotics for Regression Discontinuity Designs |
| December 1 (Thursday) 3:30 | Cuicui Lu, Michigan State University Estimation of spatial nonlinear models in a quasimaximum likelihood and generalized estimating equations approach |
| December 8 (Thursday) 3:30 | Suhyeon Nam, Michigan State University Multiple fractional response variables with a continuous endogenous explanatory variable |
