Empirical Methods II (API-202) Kennedy School of Government Harvard University1 Lecture Notes 12 Overview of Data Issues and ForecastingToday: An overview of how to think about and deal with: oData issues that you might encounter when working with data: −Missing data (Sample selection) −Quality of the variables (Measurement error or errors-in-variables) −Outliers oForecasting −Are we always interested in causality? −How do we select a regression model to make a prediction? (i.e., which variables to include)?
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