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Tasks, Occupations, and Wage Inequality in an Open Economy

Type
presentation
Date Issued
2019-01-06
Author(s)
Becker, Sascha O.
;
Egger, Hartmut
;
Koch, Michael
;
Muendler, Marc-Andreas  
Abstract
This paper documents and theoretically explains a nexus between globalization and wage inequality within plants through internal labor market organization. We document that the dominant component of overall and residual wage inequality is within plant-occupations and, combining within-occupation task information from labor force surveys with linked plant--worker data for Germany, establish three interrelated facts: (1) larger plants and exporters organize production into more occupations, (2) workers at larger plants and exporters perform fewer tasks within occupations, and (3) overall and residual wages are more dispersed at larger plants. To explain these facts, we build a model in which the plant endogenously bundles tasks into occupations and workers match to occupations. By splitting the task range into more occupations, the plant assigns workers to a narrower task range per occupation, reducing worker mismatch while typically raising the within-plant dispersion of wages. Embedding this rationale into a Melitz model, where fixed span-of-control costs increase with occupation counts, we show that inherently more productive plants exhibit higher worker efficiency and wider wage dispersion and that economy-wide wage inequality is higher in the open economy for an empirically confirmed parametrization. Reduced-form tests confirm crucial assumptions and predictions of the model.
Language
English
HSG Classification
contribution to scientific community
HSG Profile Area
SEPS - Quantitative Economic Methods
Event Title
ASSA Annual Meeting 2019 - American Economic Association
Event Location
Altanta, Georgia, United States
Event Date
January 6, 2019
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/98994
Subject(s)

economics

Division(s)

SIAW - Swiss Institut...

Eprints ID
258736
File(s)
Thumbnail Image
Name

talk-assa19-v2.pdf

Size

156.04 KB

Format

Adobe PDF

Checksum (MD5)

72bf964ca17158215f13eeb459b909e1

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