{"product_id":"quantile-regression-estimation-and-simulation-volume-2","title":"Quantile Regression","description":"\u003cp\u003e\u003cb\u003eContains an overview of several technical topics of Quantile Regression\u003c\/b\u003e\u003cb\u003e \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eVolume two of \u003ci\u003eQuantile Regression\u003c\/i\u003e offers an important guide for applied researchers that draws on the same example-based approach adopted for the first volume. The text explores topics including robustness, expectiles, m-quantile, decomposition, time series, elemental sets and linear programming. Graphical representations are widely used to visually introduce several issues, and to illustrate each method. All the topics are treated theoretically and using real data examples. Designed as a practical resource, the book is thorough without getting too technical about the statistical background.\u003c\/p\u003e \u003cp\u003eThe authors cover a wide range of QR models useful in several fields. The software commands in R and Stata are available in the appendixes and featured on the accompanying website. The text:\u003c\/p\u003e \u003cul\u003e\n\u003cli\u003eProvides an overview of several technical topics such as robustness of quantile regressions, bootstrap and elemental sets, treatment effect estimators\u003c\/li\u003e\n\u003cli\u003eCompares quantile regression with alternative estimators like expectiles, M-estimators and M-quantiles\u003c\/li\u003e\n\u003cli\u003eOffers a general introduction to linear programming focusing on the simplex method as solving method for the quantile regression problem\u003c\/li\u003e\n\u003cli\u003eConsiders time-series issues like non-stationarity, spurious regressions, cointegration, conditional heteroskedasticity via quantile regression\u003c\/li\u003e\n\u003cli\u003eOffers an analysis that is both theoretically and practical\u003c\/li\u003e\n\u003cli\u003ePresents real data examples and graphical representations to explain the technical issues\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eWritten for researchers and students in the fields of statistics, economics, econometrics, social and environmental science, this text offers guide to the theory and application of quantile regression models.  \u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":32086345449555,"sku":"","price":82.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9781118863596_3dc8053b-6c45-4571-9b63-8d0eccbe3c06.jpg?v=1778500831","url":"https:\/\/agendabookshop.com\/products\/quantile-regression-estimation-and-simulation-volume-2","provider":"Agenda Bookshop","version":"1.0","type":"link"}