Mind the Gap: Accounting for Measurement Error and Misclassification in Variables Generated via Data Mining

David Steinberg. Yang et al. consider the application of predictive data mining techniques in Information Systems research. Their focus is on the impact of data errors and misclassification on the subsequent data analysis by econometric models. Typically, data mining methods are first used to generate new variables (e.g., text sentiment), which are added into subsequent … Continue reading Mind the Gap: Accounting for Measurement Error and Misclassification in Variables Generated via Data Mining

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