Student on the Market

This year we have one student working in the field of Econometrics on the academic job market. Max Tabord-Meehan studies how to optimally stratify in randomized controlled experiments using stratification trees in order to obtain estimators of average treatment effects with small variance. You can find here job market paper here. Additional information can be found on her website: Max Tabord-Meehan

Event: Interactions: Bringing Together Econometrics and Applied Microeconomics

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September 21-22, 2018

The fifth annual Interactions workshop aims to strengthen interaction between econometricians and economists engaged in applied research from all parts of economics, including labor economics, industrial organization, and public economics.

This workshop is a part of the conferences on econometrics and mathematical economics funded by the National Science Foundation and the National Bureau of Economic Research. Additional funding is provided by the Center for Econometrics at Northwestern University.

Organizers

Ivan Canay, Northwestern University
Matt Notowidigdo, Northwestern University

Location

Northwestern University
Kellogg Global Hub, Room 1410
2211 Campus Drive, Evanston IL.

Econometrics Seminar: Spring 2018

We are happy to announce that this coming spring  we have another excellent lineup of speakers for our weekly econometrics workshop.  The workshop meets every Tuesday at 3:30pm in the Kellogg Global Hub, room 1410.  The participants are the following:

  1. April 17: Joachim Winter
  2. April 24: Dennis Kristensen
  3. May 8: Mikkel Plagborg – Moller
  4. May 22: Mikkel Solvsten
  5. May 29: Takuya Ura
  6. June 5: Denis Nekipelov

Students on the job market

This year we have two students working in the field of Econometrics on the academic job market.

Vishal Kamat works on identification of program effects in settings with latent choice sets; that is, situations where the unobserved heterogeneity that arises when the choice set from which the agent selects treatment is heterogeneous and unobserved by the researcher. You can find his job market paper here.

 

 

 

Eric Mbakop works on identification in auction models with discrete unobserved heterogeneity and incomplete bid data; that is, settings where the econometrician observes an incomplete set of bids from several auctions and does not observe all the variables that affect the distribution of bidders’ valuation.You can find his job market paper here.