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Automation och regional ojämlikhet

Malmström Arfwedson, Samuel LU (2022) NEKH02 20212
Department of Economics
Abstract
The purpose of this thesis is to examine the difference between Swedish municipalities susceptibility to automation and its impact on regional inequality during the period 2014-2018. The analysis is conducted in two steps. In the first step, a calculation of each municipality’s average susceptibility to automation is made. This is done by applying estimates of the probability of occupations risk of automation developed by the OECD on each municipality’s respective occupational composition. In the second step, in order to examine the relationship with regional inequality, these calculations are tested on three measures on the municipalities’ average wage growth. The data points on occupations and wages have been collected from Statistics... (More)
The purpose of this thesis is to examine the difference between Swedish municipalities susceptibility to automation and its impact on regional inequality during the period 2014-2018. The analysis is conducted in two steps. In the first step, a calculation of each municipality’s average susceptibility to automation is made. This is done by applying estimates of the probability of occupations risk of automation developed by the OECD on each municipality’s respective occupational composition. In the second step, in order to examine the relationship with regional inequality, these calculations are tested on three measures on the municipalities’ average wage growth. The data points on occupations and wages have been collected from Statistics Sweden (SCB). The descriptive results from the first step show that the average municipality in Sweden has a susceptibility to automation of around 46%, where the difference between the municipality with the highest and lowest risk is 7 percentage points. Furthermore, the measures of automation do not have a significant relationship with the total average wage growth. However, it does seem to have a negative relationship with wage growth due to increasing salaries. Also, the change in municipalities susceptibility to automation has a negative relationship with wage growth due to reallocation between occupations with different salaries. The implications from these results suggest that there is some evidence for automation as a determinant of regional inequality measured as wage divergence between municipalities. (Less)
Please use this url to cite or link to this publication:
author
Malmström Arfwedson, Samuel LU
supervisor
organization
course
NEKH02 20212
year
type
M2 - Bachelor Degree
subject
keywords
automation, regional inequality, technology, wages, economic geography
language
Swedish
id
9074539
date added to LUP
2022-02-22 11:21:41
date last changed
2022-02-22 11:21:41
@misc{9074539,
  abstract     = {{The purpose of this thesis is to examine the difference between Swedish municipalities susceptibility to automation and its impact on regional inequality during the period 2014-2018. The analysis is conducted in two steps. In the first step, a calculation of each municipality’s average susceptibility to automation is made. This is done by applying estimates of the probability of occupations risk of automation developed by the OECD on each municipality’s respective occupational composition. In the second step, in order to examine the relationship with regional inequality, these calculations are tested on three measures on the municipalities’ average wage growth. The data points on occupations and wages have been collected from Statistics Sweden (SCB). The descriptive results from the first step show that the average municipality in Sweden has a susceptibility to automation of around 46%, where the difference between the municipality with the highest and lowest risk is 7 percentage points. Furthermore, the measures of automation do not have a significant relationship with the total average wage growth. However, it does seem to have a negative relationship with wage growth due to increasing salaries. Also, the change in municipalities susceptibility to automation has a negative relationship with wage growth due to reallocation between occupations with different salaries. The implications from these results suggest that there is some evidence for automation as a determinant of regional inequality measured as wage divergence between municipalities.}},
  author       = {{Malmström Arfwedson, Samuel}},
  language     = {{swe}},
  note         = {{Student Paper}},
  title        = {{Automation och regional ojämlikhet}},
  year         = {{2022}},
}