Applied Quantitative Analysis Webinar Series

February 6, 2024

The American Institutes for Research (AIR) Pipeline Partnership program (P3-Africa), in collaboration with the African Economic Research Consortium (AERC) is pleased to announce a webinar series on applied quantitative analysis for graduate students in Economics and related disciplines at African universities. The webinar series will be led by Dr. Sudhanshu Handa, Institute Fellow at AIR and Professor of Public Policy at the University of North Carolina, USA, with occasional guest lectures by specialists in the field. The list of topics and schedule is provided below, each webinar will start at 4PM EAT.  For each topic, an initial session will introduce the theory and a subsequent session will provide an application with data. Registration is free and open to all current graduate students attending an African university. To register, please follow this link: https://air-org.zoom.us/webinar/register/WN_MJ5UevG-RESBb-iWtEOdmQ Students may attend as many webinars as they like.

Date Topic

February 29
March 7
Session One
Potential Outcomes and Omitted Variable Bias I (Theory)
Potential Outcomes and Omitted Variable Bias II (Application)

March 21
March 28
Session Two
Difference-in-differences I (Theory)
Difference-in-differences II (Application)

April 25
May 2
Session Three
Power analysis, clustering and sample size calculations I (Theory)
Power analysis, clustering and sample size calculations II (Application)

May 23
May 30
Session Four
Fixed-effects I (Theory)
Fixed-effects II (Application)

June 20
June 27
Session Five
Instrumental variables I (Theory)
Instrumental Variables II (Application)

July 25
August 1
Session Six
Lagged dependent variables and the Arellano-Bond Estimator I (Theory)
Lagged dependent variables and the Arellano-Bond Estimator II (Application)
African Economic Research Consortium
Get in touch

3rd Floor, Middle East Bank Towers Building, Jakaya Kikwete Road, Nairobi, Kenya
Phone: +254 (0) 202734150
+254 (0) 722 205272
Fax: (254-2) 219308

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