Explain what the following R. commands compute, where Y is an outcome, X is a regressor,...
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Explain what the following R. commands compute, where Y is an outcome, X is a regressor, Xmat is a matrix of regressors, mydata refers to a dataset, reg refers to a regression object, group refers to an indicator variable for a cross-sectional unit, such as state or individual unit: (a) (1 point) Im(YX+ factor (group), data = mydata) (b) (1 point) glm(YX, family= "binomial", data = mydata) (c) (1 point) cv.glmnet(Xmat, Y, alpha = 1) (d) (1 point) varcov HC(reg, method (e) (1 point) CV (reg) = "arellano", cluster = "group") (f) (1 point) coeftest (reg, vcov = NeweyWest(reg, lag = 3) Explain what the following R. commands compute, where Y is an outcome, X is a regressor, Xmat is a matrix of regressors, mydata refers to a dataset, reg refers to a regression object, group refers to an indicator variable for a cross-sectional unit, such as state or individual unit: (a) (1 point) Im(YX+ factor (group), data = mydata) (b) (1 point) glm(YX, family= "binomial", data = mydata) (c) (1 point) cv.glmnet(Xmat, Y, alpha = 1) (d) (1 point) varcov HC(reg, method (e) (1 point) CV (reg) = "arellano", cluster = "group") (f) (1 point) coeftest (reg, vcov = NeweyWest(reg, lag = 3)
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a lmY X factorgroup data mydata Explanation This command performs a linear regression of the outcome ... View the full answer
Related Book For
Introduction to Algorithms
ISBN: 978-0262033848
3rd edition
Authors: Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest
Posted Date:
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