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Quantile regression has emerged as an essential statistical tool of contemporary empirical economics and biostatistics. Complementing classical least squares regression methods which are designed to estimate conditional mean models, quantile regression provides an ensemble of techniques for estimating families of conditional quantile models, thus offering a more complete view of the stochastic relationship among variables. This volume collects 12 outstanding empirical contributions in economics and offers an indispensable introduction to interpretation, implementation, and inference aspects of quantile regression.
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Individual heterogeneity in the returns to schooling: instrumental variables quantile regression using twins data.- Testing for uniform wage trends in West-Germany: A cohort analysis using quantile regressions for censored data.- Quantile regression with sample selection: Estimating women’s return to education in the U.S..- Earning functions in Portugal 1982–1994: Evidence from quantile regressions.- Wage inequality in a developing country: decrease in minimum wage or increase in education returns.- How wide is the gap? An investigation of gender wage differences using quantile regression.- The public-private sector wage gap in Zambia in the 1990s: A quantile regression approach.- Asymmetric labor supply.- Quantile regression for duration data: A reappraisal of the Pennsylvania Reemployment Bonus Experiments.- For whom the reductions count: A quantile regression analysis of class size and peer effects on scholastic achievement.- The effects of demographics and maternal behavior on the distribution of birth outcomes.- Nonparametric quantile regression analysis of R & D-sales relationship for Korean firms.- Conditional value-at-risk: Aspects of modeling and estimation.- Portfolio style: Return-based attribution using quantile regression.- Integrated Conditional Moment testing of quantile regression models.
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Economic Applications of Quantile Regression (Studies in Empirical Economics)
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Economic Applications of Quantile Regression (Studies in Empirical Economics)
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Economic Applications of Quantile Regression (Studies in Empirical Economics)
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Economic Applications of Quantile Regression
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Physica-Verlag, Physica-Verlag HD, Physica Dez 2001, 2001
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Quantile regression has emerged as an essential statistical tool of contemporary empirical economics and biostatistics. Complementing classical least squares regression methods which are designed to estimate conditional mean models, quantile regression provides an ensemble of techniques for estimating families of conditional quantile models, thus offering a more complete view of the stochastic relationship among variables. This volume collects 12 outstanding empirical contributions in economics and offers an indispensable introduction to interpretation, implementation, and inference aspects of quantile regression. 324 pp. Englisch. Codice articolo 9783790814484
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Quantile regression has emerged as an essential statistical tool of contemporary empirical economics and biostatistics. Complementing classical least squares regression methods which are designed to estimate conditional mean models, quantile regression prov. Codice articolo 5310395
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Economic Applications of Quantile Regression (Studies in Empirical Economics)
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Economic Applications of Quantile Regression (Studies in Empirical Economics)
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Buch. Condizione: Neu. Neuware -Quantile regression has emerged as an essential statistical tool of contemporary empirical economics and biostatistics. Complementing classical least squares regression methods which are designed to estimate conditional mean models, quantile regression provides an ensemble of techniques for estimating families of conditional quantile models, thus offering a more complete view of the stochastic relationship among variables. This volume collects 12 outstanding empirical contributions in economics and offers an indispensable introduction to interpretation, implementation, and inference aspects of quantile regression.Physica Verlag, Tiergartenstr. 17, 69121 Heidelberg 336 pp. Englisch. Codice articolo 9783790814484
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Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Quantile regression has emerged as an essential statistical tool of contemporary empirical economics and biostatistics. Complementing classical least squares regression methods which are designed to estimate conditional mean models, quantile regression provides an ensemble of techniques for estimating families of conditional quantile models, thus offering a more complete view of the stochastic relationship among variables. This volume collects 12 outstanding empirical contributions in economics and offers an indispensable introduction to interpretation, implementation, and inference aspects of quantile regression. Codice articolo 9783790814484
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