Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/189752 
Authors: 
Year of Publication: 
2017
Series/Report no.: 
cemmap working paper No. CWP36/17
Publisher: 
Centre for Microdata Methods and Practice (cemmap), London
Abstract: 
Since Quetelet's work in the 19th century social science has iconi fied "the average man", that hypothetical man without qualities who is comfortable with his head in the oven, and his feet in a bucket of ice. Conventional statistical methods, since Quetelet, have sought to estimate the effects of policy treatments for this average man. But such effects are often quite heterogenous: medical treatments may improve life expectancy, but also impose serious short term risks; reducing class sizes may improve performance of good students, but not help weaker ones or vice versa. Quantile regression methods can help to explore these heterogeneous effects. Some recent developments in quantile regression methods are surveyed below.
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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