How Much Should We Trust Differences-In-Differences Estimates?
Most papers that employ Differences-in-Differences estimation (DD) use many years of data and focus on serially correlated outcomes but ignore that the resulting standard errors...
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Most papers that employ Differences-in-Differences estimation (DD) use many years of data and focus on serially correlated outcomes but ignore that the resulting standard errors...
Abstract Mixture modeling is a widely applied data analysis technique used to identify unobserved heterogeneity in a population. Despite mixture models' usefulness in practice, ...
Foreword Introduction 1. Imperialism, History, Writing and Theory 2. Research through Imperial Eyes 3. Colonizing Knowledges 4. Research Adventures on Indigenous Land 5. Notes f...
Collinearity refers to the non independence of predictor variables, usually in a regression‐type analysis. It is a common feature of any descriptive ecological data set and can ...
Abstract We describe the development, current features, and some directions for future development of the Amber package of computer programs. This package evolved from a program...