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Bonyong Koo

LIG Insurance



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Heungsun Park

Hankuk University of Foreign Studies



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444 – Contributed Oral Poster Presentations: Government Statistics Section

A Study on Program Evaluation via Difference-in-Difference Approach

Sponsor: Government Statistics Section
Keywords: Quasi-experiment, Interaction Effect, Lagged Dependent Variable, Intervention Model.

Bonyong Koo

LIG Insurance

Heungsun Park

Hankuk University of Foreign Studies

A Difference-in-Difference (DID) method has been widely used as a program evaluation method in social studies or other related disciplines. Specially when the lagged dependent variable is a predictor variable, the impact size is often misinterpreted. This study illustrates how DID is related to the conventional interaction effect and other time series modelings, and the appropriate estimation and testing is going to be verified though simulation.

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