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July 2006

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The women wage discriminatory gap (w.r.t men) for i=women : ... discrimination curves from discrimination gaps in an increasing order, ... – PowerPoint PPT presentation

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Title: July 2006


1
July 2006
  • ON THE MEASUREMENT OF ILLEGAL WAGE
    DISCRIMINATION THE MICHAEL JORDAN PARADOX
  • Juan Prieto, Juan G. Rodríguez and Rafael Salas

2
Overview
  • Motivation
  • Discrimination and inequality of opportunities
  • Relevant issues of political economy
  • Justice and efficiency claims
  • Discrimination classical view
  • A new appoach endogenous allocation to groups
  • Application to Germany and the UK
  • Discussion

3
Discrimination classical view
  • Oaxaca-Blinder (1973) gender discrimination
  • Two wage equations for men (m), women (w)
  • The women wage discriminatory gap (w.r.t men)

4
Discrimination classical view (2)
  • Oaxaca-Blinder (1973) gender discrimination
  • The total women wage discriminatory gap (w. r. to
    men)
  • Quantiles analysis can improve estimates locally
  • Newell and Reilly, 2001
  • Albrecht, Björklund and Vroman, 2003
  • Gardeazábal and Ugidos, 2005.

5
Discrimination latent class view
  • Latent class models for gender discrimination
  • Two wage equations for two different structures
    type/class 1 and type/class 2
  • Plus a vector of probabilities of individual i
    belonging to groups 1,2.
  • This is estimated simultaneous and endogenously
    by maximum likelihood estimators that allocates
    individuals to groups according to their human
    capital characteristics, observed wages and sex,
    and trying to reduce internal errors of the two
    wage equations (by maximizing the log likelihood
    function)

6
Discrimination latent class view (2)
  • The log likelihood function
  • Where f() is the standard normal density
    function

7
Discrimination latent class view (3)
  • The vector of probabilities of individual i
    belonging to groups 1,2 are estimated as follows
  • First, we estimate a priori probabilities of i
    belonging to j Pij
  • By maximaizing the log likelihood function.
  • Then we update ex post probabilities by using the
    Bayes rule and we obtain

8
Discrimination latent class view (4)
  • The women wage discriminatory gap (w.r.t men) for
    iwomen
  • which is more general than Oaxaca-Blinder,
  • for iwomen (and 1 is the high wage class)

9
Example let i Hillary Clinton HC
  • Pick XHC the human capital characteristics of HC

10
Example i Hillary Clinton HC (2)
  • The HC gap is
  • which is normaly positive since
  • Oaxaca-Blinder assume

11
Discrimination orderings
  • Distributional appoach
  • Jenkins 1994
  • discrimination curves from discrimination gaps in
    a decreasing order
  • del Río al. 2006
  • discrimination curves from discrimination gaps in
    an increasing order, eliminating negative gaps

12
Applications
  • European households panel data
  • Germany 1994-2001
  • Model 1 and 2 (extended)
  • UK 1994-2001
  • Model 1 and 2 (extended)
  • Tables

13
Table 1 definitions
14
Table 2 summary statistics
15
Table 3 Two models class 1
16
Table 4 Two models class 2
17
Table 5 prior probabilities
18
Results
  • Germany unambiguously more discrimination than in
    the UK

19
Results
20
Results
21
Results
22
Conclusions
  • A new appoach endogenous allocation to groups
  • Application to Germany and the UK shows positive
    discrimination bias of Oaxaca-Blinder model
  • Positive gender discrimination in both
    countries

23
July 2006
  • ON THE MEASUREMENT OF ILLEGAL WAGE
    DISCRIMINATION THE MICHAEL JORDAN PARADOX
  • Juan Prieto, Juan G. Rodríguez and Rafael Salas
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