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Why and When Should Quantile Regression Be Used?

  • Uribe J
  • Guillen M
DOI: 10.1007/978-3-030-44504-1_1
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Abstract

Quantile regression is a way to disclose predictive relationships between a response variable and some regressors or explanatory variables when the interest is to find a causal link beyond the mean-to-mean effects. Quantile regression is a procedure to model the cut...

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Uribe, J. M., & Guillen, M. (2020). Why and When Should Quantile Regression Be Used? (pp. 1–5). https://doi.org/10.1007/978-3-030-44504-1_1

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