Quantile Regression establishes the seldom recognized link between inequality studies and quantile regression models. Though separate methodological literatures exist for each subject matter, the authors explore the natural connections between this increasingly sought-after tool and research topics in the social sciences.
Quantile Regression establishes the seldom recognized link between inequality studies and quantile regression models. Though separate methodological literatures exist for each subject matter, the authors explore the natural connections between this increasingly sought-after tool and research topics in the social sciences.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Lingxin Hao is a professor of sociology at Johns Hopkins University. Her specialties include quantitative methodology, social inequality, sociology of education, migration, and family and public policy. She is the lead author of two QASS monographs Quantile Regression and Assessing Inequality . Her research has appeared in the Sociological Methodology, Sociological Methods and Research, American Journal of Sociology, Demography, Social Forces, Sociology of Education, and Child Development, among others.
Inhaltsangabe
Series Editor¿s Introduction Acknowledgments 1. Introduction 2. Quantiles and Quantile Functions 3. Quantile-Regression Model and Estimation 4. Quantile Regression Inference 5. Interpretation of Quantile-Regression Estimates 6. Interpretation of Monotone-Transformed QRM 7. Application to Income Inequality in 1991 and 2001 Appendix: Stata Codes References Index About the Authors
Series Editor¿s Introduction Acknowledgments 1. Introduction 2. Quantiles and Quantile Functions 3. Quantile-Regression Model and Estimation 4. Quantile Regression Inference 5. Interpretation of Quantile-Regression Estimates 6. Interpretation of Monotone-Transformed QRM 7. Application to Income Inequality in 1991 and 2001 Appendix: Stata Codes References Index About the Authors
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