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UID:21e4bd5fd4436f27044c735a0d556fb9
CATEGORIES:Seminars
CREATED:20181114T102354
SUMMARY:Eric Mengus - HEC Paris
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:<p style="text-align: justify;"><strong><span style="font-size: 11pt; font-
 family: 'Calibri','sans-serif';">Labor Market Polarization and the Great Di
 vergence: Theory and Evidence</span></strong></p><p style="text-align: just
 ify;"><span style="font-size: 11pt; font-family: 'Calibri','sans-serif';">A
 bstract: </span></p><p style="text-align: justify;"><span style="font-size:
  11pt; font-family: 'Calibri','sans-serif';">Two of the most important feat
 ures of advanced labor markets in the past quarter century are labor market
  polarization and the great divergence. The first of these concerns the gro
 wth of jobs in high and low wage categories and the disappearance of middle
  wage jobs. The second is an explicitly spatial theory about the intensific
 ation of development particularly at the high end in large, already develop
 ed cities relative to smaller, less developed cities. This paper addresses 
 how the two phenomena are interrelated. The great divergence is typically c
 ontemplated in a two factor setting with skill-biased technical change. Lab
 or market polarization is instead considered in an explicitly three-factor 
 setting, specifically rejecting the simpler framework. We develop a theory 
 in which the driving forces of labor market polarization alone give rise to
  both phenomena, building on Autor and Dorn (2013), Davis and Dingel (2014)
  and Davis and Dingel (forthcoming). Key to this is that the productivity a
 dvantages in large cities are biased toward high skilled tasks, so that a u
 niform shock to technology leads to labor market polarization with a biased
  impact on cities of di</span><span style="font-size: 11pt; font-family: 'C
 ambria Math','serif';">ff</span><span style="font-size: 11pt; font-family: 
 'Calibri','sans-serif';">erent sizes, giving rise to the great divergence. 
 We examine the model using detailed data for a sample of 117 French cities 
 and find the patterns in the period 1994-2015 accord well with the theory.<
 /span></p>
DTSTAMP:20260405T192553Z
DTSTART:20190325T163000Z
DTEND:20190325T180000Z
SEQUENCE:0
TRANSP:OPAQUE
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