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Heteroskedasticity in Regression Detection and Correction, by Robert Kaufman, covers the commonly ignored topic of heteroskedasticity (unequal error variances) in regression analyses and provides a practical guide for how to proceed in terms of testing and correction. Emphasizing how to apply diagnostic tests and corrections for heteroskedasticity in actual data analyses, the monograph offers three approaches for dealing with heteroskedasticity (1) variance-stabilizing transformations of the dependent variable; (2) calculating robust standard errors, or heteroskedasticity-consistent standard errors; and (3) generalized least squares estimation coefficients and standard errors. The detection and correction of heteroskedasticity is illustrated with three examples that vary in terms of sample size and the types of units analyzed (individuals, households, U.S. states). Intended as a supplementary text for graduate-level courses and a primer for quantitative researchers, the book fills the gap between the limited coverage of heteroskedasticity provided in applied regression textbooks and the more theoretical statistical treatment in advanced econometrics textbooks.
ebook,Robert L. Kaufman,Heteroskedasticity in Regression Detection and Correction (Quantitative Applications in the Social Sciences Book 172),SAGE Publications, Inc,Econometrics,Heteroscedasticity,Heteroscedasticity.,Least squares,Least squares.,Monograph Series, any,Non-Fiction,Quantitative Research; Statistical Research; Social Research Methods; Regression and Correlation,Quantitative Research;Statistical Research;Social Research Methods;Regression and Correlation;Statistics and Quantitative Methods;Multivariate Methods;Multivariate Research;Quantitative Methods;Social Statistics;Research Methods in Sociology;Sociology Research Methods;Statistics in Sociology;Sociology Statistics;Statistical Methods in Sociology;Statistics for Social Sciences;Multivariate Analysis;Statistical Inference;Regression Analysis;Introduction to Statistics,Regression analysis,Regression analysis.,Research,Research methods general,SOCIAL SCIENCE,SOCIAL SCIENCE / Statistics,Scholarly/Undergraduate,Social Science / Sociology / General,Social Science/Research,Social research statistics,Social sciences - Statistical methods,Sociology,Statistics,TEXT,Textbooks (Various Levels),United States,Research,SOCIAL SCIENCE / Statistics,Social Science / Sociology / General,Social Science/Research,Statistics,Sociology,Social Science,Research methods general,Social research statistics

Heteroskedasticity in Regression Detection and Correction Quantitative Applications in the Social Sciences Book 172 edition by Robert L Kaufman Politics Social Sciences eBooks Reviews :

Heteroskedasticity in Regression Detection and Correction, by Robert Kaufman, covers the commonly ignored topic of heteroskedasticity (unequal error variances) in regression analyses and provides a practical guide for how to proceed in terms of testing and correction. Emphasizing how to apply diagnostic tests and corrections for heteroskedasticity in actual data analyses, the monograph offers three approaches for dealing with heteroskedasticity (1) variance-stabilizing transformations of the dependent variable; (2) calculating robust standard errors, or heteroskedasticity-consistent standard errors; and (3) generalized least squares estimation coefficients and standard errors. The detection and correction of heteroskedasticity is illustrated with three examples that vary in terms of sample size and the types of units analyzed (individuals, households, U.S. states). Intended as a supplementary text for graduate-level courses and a primer for quantitative researchers, the book fills the gap between the limited coverage of heteroskedasticity provided in applied regression textbooks and the more theoretical statistical treatment in advanced econometrics textbooks.

ebook,Robert L. Kaufman,Heteroskedasticity in Regression Detection and Correction (Quantitative Applications in the Social Sciences Book 172),SAGE Publications, Inc,Econometrics,Heteroscedasticity,Heteroscedasticity.,Least squares,Least squares.,Monograph Series, any,Non-Fiction,Quantitative Research; Statistical Research; Social Research Methods; Regression and Correlation,Quantitative Research;Statistical Research;Social Research Methods;Regression and Correlation;Statistics and Quantitative Methods;Multivariate Methods;Multivariate Research;Quantitative Methods;Social Statistics;Research Methods in Sociology;Sociology Research Methods;Statistics in Sociology;Sociology Statistics;Statistical Methods in Sociology;Statistics for Social Sciences;Multivariate Analysis;Statistical Inference;Regression Analysis;Introduction to Statistics,Regression analysis,Regression analysis.,Research,Research methods general,SOCIAL SCIENCE,SOCIAL SCIENCE / Statistics,Scholarly/Undergraduate,Social Science / Sociology / General,Social Science/Research,Social research statistics,Social sciences - Statistical methods,Sociology,Statistics,TEXT,Textbooks (Various Levels),United States,Research,SOCIAL SCIENCE / Statistics,Social Science / Sociology / General,Social Science/Research,Statistics,Sociology,Social Science,Research methods general,Social research statistics

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Product details File Size 4671 KB Print Length 112 pages Publisher SAGE Publications, Inc; 1 edition (June 28, 2013) Publication Date July 30, 2013 Sold by  Services LLC Language English ASIN B00LXFGARI

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