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Variance Decomposition in Earnings Regression by Samuel is a document available to read on EtoBox.

What is Variance Decomposition in Earnings Regression about?

The document discusses variance decomposition and goodness of fit in a regression model analyzing factors that influence monthly earnings. It estimates a multiple regression model using data on monthly earnings and factors like IQ, job knowledge, education, experience and tenure for 935 individuals. It finds that 18.8% of the variability in monthly earnings is explained by the model, while the remaining variability is unexplained. It also describes how to calculate the sums of squares for the explained, une

Author
Samuel
Language
EN

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