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Webinar Series in Applied Quantitative Analysis - Updated
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�Propensity score matching (Theory)�Propensity score matching (Application) |
�June 20�June 27 | Session Five�Fixed-effects I (Theory)�Fixed-effects II (Application) |
�July 25�August 1 | Session Six�Instrumental variables I (Theory)�Instrumental Variables II (Application) |
August 22 August 29 | Session Seven�Lagged dependent variables and the Arellano-Bond Estimator I (Theory)�Lagged dependent variables and the Arellano-Bond Estimator II (Application) |
������ �Écoute de l'interprétation d'une langue �Windows | macOS�
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�1. Dans les contrôles de votre réunion/webinaire, cliquez sur Interprétation .
2. Cliquez sur la langue que vous souhaitez entendre. (Nous aurons le français) Pas besoin de choisir l'anglais, c'est la langue de la salle Zoom principale
3. (Facultatif) Pour entendre uniquement la langue interprétée, cliquez sur Couper le son original.
Remarques:
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Listening to language interpretation� Windows | macOS
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3. (Optional) To hear the interpreted language only, click Mute Original Audio.
Notes:
channel if you unmute your audio and speak.
Fixed Effects
Professor Jeremy Moulton
Department of Public Policy
University of North Carolina at Chapel Hill
June 20, 2024
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The Set Up
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First Difference (T = 2)
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Fixed Effects: De-Meaned version
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id | time | | | | | | |
1 | 1 | 2 | 0 | 3 | 0.33 | -1 | -.33 |
1 | 2 | 2 | 0 | 3 | 0.33 | -1 | -.33 |
1 | 3 | 5 | 1 | 3 | 0.33 | 2 | .67 |
2 | 1 | 2 | 0 | 3.33 | 0.67 | -1.33 | -.67 |
2 | 2 | 4 | 1 | 3.33 | 0.67 | .67 | .33 |
2 | 3 | 4 | 1 | 3.33 | 0.67 | .67 | .33 |
3 | 1 | 5 | 1 | 5 | 1 | 0 | 0 |
3 | 2 | 5 | 1 | 5 | 1 | 0 | 0 |
3 | 3 | 5 | 1 | 5 | 1 | 0 | 0 |
Ok, but how do I actually do it?
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How do I know if OLS or FE is better?
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Test difference in coefficients
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Smoking and Wealth