More about Names Measuring Heterogeneity Gini-Simpson, or Blau - - PowerPoint PPT Presentation

more about names measuring heterogeneity
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More about Names Measuring Heterogeneity Gini-Simpson, or Blau - - PowerPoint PPT Presentation

More about Names Measuring Heterogeneity Gini-Simpson, or Blau Index R is richness or the number of types, e.g. total R number of names p 2 1 = 1 i p is the relative proportion of i =1 each type, e.g. the number of


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More about Names

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Measuring Heterogeneity

1 − λ = 1 −

R

i=1

p2

i

Gini-Simpson, or Blau Index R is “richness” or the number of types, e.g. total number of names p is the relative proportion of each type, e.g. the number
  • f children with a specific
name / total number of children.
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Measuring Heterogeneity

H′ = −

R

i=1

pi ln pi

R is “richness” or the number of types, e.g. total number of names p is the relative proportion of each type, e.g. the number
  • f children with a specific
name / total number of children. Shannon Index
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NAMES AS

SIGNALS

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SLIDE 10 18% des 2100 Juliette
  • nt obtenu la mention TB
5,8% des 1100 Anthony
  • nt obtenu la mention TB
Adam Adele Adeline Adrien Agathe Alan Alban Alex Alexandra Alexandre Alexia Alexis Alice Alicia Alix Alizee Allan Amandine Amaury Ambre Amelie Amine Anaelle Anais Andrea Angele Anissa Anna Anne Antoine Antonin Apolline Arnaud Arthur Assia Astrid Audrey Augustin Aurelie Aurelien Auriane Aurore Axel Axelle Aymeric Baptiste Bastien Benjamin Benoit Berenice Bilal Brice Bryan Camille Candice Capucine Carla Caroline Cassandra Cassandre Cecile Cedric Celia Celine Charlene Charles Charline Charlotte Chloe Claire Clara Clarisse Clemence Clement Clementine Cloe Coline Constance Coralie Corentin Cyril Damien Daniel David Diane Dimitri Dorian Dylan Edouard Elea Elena Eleonore Elias Eliott Elisa Elise Elodie Eloise Elsa Emeline Emile Emilie Emilien Emma Emmanuel Enora Enzo Erwan Esteban Estelle Ethan Etienne Eugenie Eva Evan Eve Fabien Fanny Faustine Felix Fiona Flavie Flavien Flora Florent Florian Floriane Florine Francois Gabin Gabriel Gabrielle Gaelle Gaetan Garance Gauthier Gregoire Guillaume Helene Heloise Hugo Ilona Imane Ines Jade Jean Jean−Baptiste Jeanne Jeremie Jeremy Jessica JohannaJonathan Jordan Joris Joseph Josephine Jules Julia Julian Julie Julien Justin Justine Kelly Kenza Kevin Kilian Killian Kylian Laetitia Laura Laure Lauriane Laurie Laurine Lea Leana Leane Leila Lena Leo Leonie Lila Lilian Lilou Lina Lisa Lise Loic Lola Lorenzo Loris Lou Lou−Anne Louis Louise Louna Luc Luca Lucas Lucie Lucile Ludivine Ludovic Luna Mael Maelle Maelys Maeva Mailys Malo Manon Marc Margaux Margot Maria Marianne Marie Marina Marine Marion Marius Martin Mateo Matheo Mathias Mathieu Mathilde Mathis Mathys Matteo Matthias Matthieu Maud Maxence Maxime Mehdi Melanie Melina Melissa Melvin Mickael Mohamed Morgan Morgane Myriam Nathan Nicolas Nina Ninon Noa Noah Noe Noemie Nolwenn Oceane Olivia Olivier Ophelie Oriane Orlane Oscar Pablo Paul Pauline Perrine Pierre Quentin Rachel Raphael Rayan Remi Remy Robin Romain Romane Rose Roxane Ryan Sabrina Sacha Salome Samantha Samuel Samy Sara Sarah Sebastien Simon Sofia Sofiane Solene Sophie Steven Sylvain Tanguy Teo Theo Thibaud Thibault Thibaut Thomas Timothe Timothee Tiphaine Titouan Tom Tony Tristan Ugo Valentin Valentine Victoire Victor Victoria Vincent William Xavier Yanis Yann Yannis Yasmine Yassine Yoann Yohan Zoe Anthony Juliette 300 500 1000 2000 5000 0.0% 5.0% 10.0% 15.0% 20.0% Proportion de mention « très bien » Nombre de candidats Bac général et technologique. Positions légèrement modifiées pour éviter la superposition. Prénoms et mention, 2019 Résultats provisoires. Réalisation Baptiste Coulmont | http://coulmont.com/bac/
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SLIDE 13 0% 10% 20% 30% 40% 50% 60% 70% 80% Law Firms Investment Banks Consulting Firms Percent of Evaluators Who Cited “Fit” as Top Evaluative Criterion Interpersonal Skills Technical Skills N = 30 N = 26 N = 16 Figure 2. Percentage of Evaluators Who Ranked Fit as Their Most Important Criteria in Job Interviews by Firm Type (N = 120) Note: These numbers correspond to the percent of evaluators in each type of firm who—in research interviews—ranked fit as the most important criterion they use to assess applicants in job interviews. Evaluators were asked to describe the specific criteria they use to assess candidates in interviews. I then asked them to force-rank the criteria they had mentioned.
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AUDIT STUDY

A type of field experiment where trained auditors or designed audit documents are used to evaluate a real decision process for discrimination, by matching auditors on all relevant characteristics except the one being tested.

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