Gender Differences in Sorting

AuthorDario Pozzoli,Pierpaolo Parrotta,Luca Paolo Merlino
Date01 October 2018
DOIhttp://doi.org/10.1111/irel.12216
Published date01 October 2018
Gender Differences in Sorting*
LUCA PAOLO MERLINO , PIERPAOLO PARROTTA and
DARIO POZZOLI
In this paper, we investigate gender differences in workerscareer development
within and outside the rm to explain the existence of gender wage gaps. Using
Danish employeremployee matched data, we nd that good female workers are
more likely to move to better rms than men but are less likely to be promoted.
Furthermore, these differences in career advancement widen after the rst child is
born. Our ndings suggest that career impediments in certain rms cause the most
productive female workers to seek better jobs in rms in which there is less
gender bias.
Introduction
Recent studies exploit the availability of matched employeeemployer data
to report that wage gaps between male and female workers arise as a result of
segregation in lower-paying occupations, in less-productive establishments and
in lower-paying occupations within establishments (Bayard et al. 2003; Heller-
stein and Neumark 2008). Card, Cardoso, and Kline (2016) found that, while
women negotiate lower wages than men with the same employer, they are also
.
JEL: J16, J24, J62.
*The authorsafliations are, respectively, University of Antwerp and Universit
e Paris 1- Panth
eon Sor-
bonne, Antwerp Belgium. E-mail: LucaPaolo.Merlino@uantwerpen.be; ICN Business School, Bureau
d
Economie Th
eorique et Appliqu
ee (BETA), Institute for the Study of Labor (IZA), Research Centre for
Education and the Labour Market (ROA), and Aarhus University, Nancy, France. E-mail: pierpaolo.
parrotta@icn-groupe.fr; and Copenhagen Business School, Institute for the Study of Labor (IZA), and Aar-
hus University, Frederiksberg, Denmark. E-mail: dp.eco@cbs.dk. The authors thank Estelle Cantillon, Fran-
cis Kramarz, Fane Groes, Rafael Lalive, Patrick Legros, Nina Smith, and the participants of the COSME
workshop (2013), the Search and Matching Conference (2014), and the workshop on Gender and Ethnic
Differentials (2014) for their helpful comments and suggestions. They gratefully acknowledge funding from
the Danish Council for Independent Research|Social Sciences, Grant no. x12-124857/FSE; LMDG, the
Department of Economics and Business, Aarhus University; the ERC through grant 208535; the Wiener
Wissenschafts-, Forschungs- und Technologiefonds (WWTF) under project fund MA 09-017; the Carlsberg
Foundation; and the Swiss National Centre of Competence in Research LIVES and FNRS. The data used in
this paper build on anonymized micro datasets owned by Statistics Denmark (SD). In the interest of scien-
tic validation of analyses published using DS micro data, the Department of Economics and Business, Aar-
hus University, will assist researchers in obtaining access to the dataset. The usual disclaimer applies.
INDUSTRIAL RELATIONS, DOI: 10.1111/irel.12216, Vol. 57, No. 4 (October 2018).
©2018 Regent s of the Univers ity of Calif ornia Published by Wiley Periodicals, Inc., 350 Main Street,
Malden, MA 02148, USA, and 9600 Garsington Road, Oxford, OX4 2DQ, UK.
671
less likely to work in rms that pay higher premiums to either gender. These
studies show that wage gaps in the labor market are related to gender differ-
ences in the extent to which better workers are employed in better positions,
i.e., in the degree of positive assortative matching (Becker 1973).
Our paper differs from the existing literature because it explains the gender
gap from a new perspective by examining workerscareer development within
and outside the rm. When we examine gender differences in sorting in Den-
mark, surprising patterns emerge. Female workers of good types (proxied by
the residual predicted from a Mincerian log-wage regression) are more likely
to move to a better rm than similarly ranked male workers, conditional on
workers changing employers. This is quite puzzling given the signicant gen-
der wage gap in Denmark (around 15 percent in the Danish private sector
see Gallen 2015) and that the representation of women among legislators,
senior ofcials, and managers is relatively low.
1
We then turn our attention to transitions within the rm to determine
whether there are gender biases in promotions. There, a quite different pattern
emerges: male workers of good types are more likely to be promoted than sim-
ilarly ranked female workers conditional on workers not changing employers.
The objective of this paper is to explain this apparently conicting evidence
by accounting for the fact that workers move up the job ladder in two ways:
either they are promoted by the current employer, or they nd a better
employer. Studying career development within and outside the rm as a unied
sorting problem allows us to relate the patterns that we observe. Our ndings
suggest that career impediments in certain rms cause the most productive
female workers to seek better jobs in rms with less gender bias. In our inter-
pretation, segregation and gender gaps emerge because of the costs associated
with changing employers combined with the career impediments that female
workers face. As a result, consistent with the ndings of Card, Cardoso, and
Kline (2016), only the best female workers can pursue career advancement via
job transitions, and they climb the occupational ladder more slowly than men.
To detect sorting patterns, we apply and extend the methodology proposed
by Bartolucci and Devicienti (2013) to study both internal and external career
advancements across genders. In particular, (1) we exploit within-rm variation
in wages to rank workers within rms and conditional on observables. Intu-
itively, while a workers type is not observable to the econometrician, it is
observable to the rm, which then pays her/him accordingly. Furthermore, (2)
we use prots to rank rms, as maximizing prots is an objective for all rms.
1
According to the 2015 Global Gender Gap Report (World Economic Forum 2015), Denmark ranks
fourteenth and eight-rst (out of 145 countries) on the gender wage gap and on the gender gap among legis-
lators, senior ofcials, and managers.
672 / LUCA PAOLO MERLINO,PIERPAOLO PARROTTA,AND DARIO POZZOLI
In a stylized theoretical framework, we demonstrate that this estimation strat-
egy allows us to analyze gender differences in sorting both within and across
rms when workers care about wages.
We then use these rankings to predict separately by gender (1) the probabil-
ity that a worker moves to a better rm, i.e., a rm that makes higher prots,
conditional on changing rms (being a mover), and (2) the probability of being
promoted to a higher occupational level conditional on staying employed in a
given rm (being a stayer). In our analysis, we use Danish employeremployee
matched data for two important reasons. First, a representative and large sam-
ple of both workers and rms allows us to trace workerscareer developments.
Second, Denmark has a very exible labor market, similar to that in the United
States. Hence, our analysis is relevant beyond the case of Denmark.
In line with the predictions of our theoretical framework, when we plot the
probability of a job transition against a workers type, we nd a U-shaped rela-
tionship that is steeper for transitions to a better rm: while bad workers are likely
to be replaced, the best workers are likely to move to better rms (Figure 1).
The ndings depicted in Figures 2 and 3 that positive sorting is stronger in
job transitions but weaker in promotions for female workers are conrmed by
our regression models in which we add several controls. Specically, a one-
standard-deviation increase in the log of lagged wages increases the probability
of moving to a better rm by 2 percent for female workers and by approxi-
mately half as much for male workers, while it increases the probability of
promotion by 19 percent for female workers and by 31 percent for male work-
ers. These gender differences are sizable, signicant, and stable, as they arise
in a number of different specications and tests. Most important, the same pat-
terns emerge when we use other methods to rank workers and rms.
Note, however, that if all rms had the same attitude toward female workers,
we would observe the same sorting patterns in transitions both within and
across rms. Thus, our ndings strongly indicate that female workers face more
career impediments in certain rms and that they attempt to overcome these
barriers by searching for better jobs in fairer companies. This interpretation is
further corroborated by the fact that negligible gender differences arise when
we examine promotions to higher occupational levels in the rms to which
good female workers tend to move. Such rms are also highly protable, which
suggests that the best rms are those with nondiscriminatory policies.
2
The gender differences in sorting that we uncover for job transitions are
possibly explained by female and male workers pursuing different routes to
2
Less-protable discriminatory rms may survive competition with nondiscriminatory rms for several
reasons. First, social enforcement may result in less lost prot in discriminatory rms. Second, there may be
clients with discriminatory tastes. Third, search frictions may facilitate social enforcement.
Gender Differences in Sorting / 673

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