November 30, 2023
December 3, 2023
January 14, 2024
The AAEA Business office would like to wish each of you a happy and healthy holiday season! We would like to share our sincere gratitude for your support of the Association and profession. Thank you to everyone that participated in the 2023 AAEA Annual Meeting, track sessions, organized symposia and other sessions. These activities continue to connect all of us and move the profession forward – thank you!
From all of us at the AAEA Business Office, we wish you a happy, healthy and safe holiday season, and a joyous New Year!
(AAEA Staff will be out of the office on November 23 & 24, 2023 and December 22, 2023 through January 1, 2024. Staff will be returning to the office on Tuesday, January 2, 2024)
2024 AAEA Sessions at ASSA
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“I’m surprised, honored and humbled to receive this award. Educators that have won this in the past have all been folks I’ve looked up to during my career. Since we’re coming out of a high-profitability period for agriculture, the next few years are going to be a little more difficult in terms of profitability, especially within livestock. I think the industry has good liquidity and it should be able to get through it OK.”
Rudy NaygaWe will have a good slate of sessions at the ASSA meetings in San Antonio on January 5-7, 2024. Upon the recommendation of the TW Schultz Committee, we invited Jeff Wooldridge of Michigan State University as the TW Schultz Memorial Lecture and Awardee. Jeff Wooldridge is a University Distinguished Professor of Economics at Michigan State University and a Fellow of the Econometrics Society. His TW Schultz lecture will be held on Friday, January 5, 2024 (typically starts at 6 pm) in San Antonio. The title of his lecture is “Regression-Based Strategies for Heterogeneous Treatment Effects with Staggered Interventions.” This would be of great interest to those interested in causal inference work. Jeff has more recently been working on extensions to two-way fixed effects. Lately, he has also been able to develop a framework that allows various estimators with extra cross-sectional controls or time period controls.
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Robert Craven, University of Minnesota