Treatment effect identification using alternative parallel assumptions

By Ricardo Pérez Mora, Iliana Reggio. 2012

142 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/d8e84cf4fe6a8684cc630b5fadb2bacb65446abc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Ricardo Pérez Mora
2. Iliana Reggio

Citations in the corpus

• Alternative diff-in-diffs estimators with several pretreatment periods (2019, methodology): “For these three papers, we discuss in Mora and Reggio (2012) how alternative assumptions may yield di erent results and nd evidence that Parallel-(1) and Parallel-(2) are not equivalent and that there are dynamic e ects.”
• Does cooperative membership increase and accelerate agricultural technology adoption? Empirical evidence from Zambia (2020, unknown): “…parallel trend assumption is a strong and most important assumption for the DID model and it states that the average change in the outcome variable for the treated in the absence of treatment is equal to the observed average change in the outcome variable for the controls (Mora and Reggio, 2012).”