Colinealidad en el efecto de la inmigración sobre el brexit

  1. Pablo Francisco Doucet Sánchez 1
  2. José García Pérez 1
  1. 1 Universidad de Almería
    info

    Universidad de Almería

    Almería, España

    ROR https://ror.org/003d3xx08

Book:
Anales de Economía Aplicada 2018: economía del transporte y logística portuaria
  1. Juan José García del Hoyo (coord.)

Publisher: Universidad de Huelva

ISBN: 978-84-18280-49-8

Year of publication: 2020

Pages: 1085-1092

Type: Book chapter

DIALNET GOOGLE SCHOLAR lock_openOpen access editor

Abstract

Logistic regressions are widely used in analyzing how attitudes toward immigration affects voting behavior. By itsvery nature, this models often are constructed with numerous variables wich present highly collinearity, resulting inhigh standard errors of the coefficients and inaccurate estimations. In a case study of role immigration in the 2016vote for Brexit, this work suggest using orthogonal variables as an alternative of traditional procedures, as their usethus create new interpretations of the transformed variables that are deemed attractive for such analyses as wellas the problem is mitigated.

Data source: Dialnet