The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Default user image.

Josef Taalbi

Senior lecturer

Default user image.

What determines unemployment in the long run? Band spectrum regression on ten countries 1913-2016

Author

  • Erik Hegelund
  • Josef Taalbi

Summary, in English

The rise in unemployment since the 1980s has been predominantly
understood as driven by short-term shocks, or long-run conditions in the
form of rigid labor market institutions or 'jobless growth', mostly based
on studies on the period from 1960 onward. Aggregate demand is usu-
ally assumed to have no long-run impact on unemployment, but recent
contributions call this into question. This paper adopts a long-run view
of macroeconomic history to explore the long-run relationship between
unemployment and macroeconomic variables. We use wavelet analysis to
decompose time series covering ten countries 1913-2016, into short-run,
medium-run, and long-run variations, and band spectrum regressions on
the relation between unemployment, GDP, investment, interest rates and
productivity. Through estimations of cross-country regression models, we
find strong indications that unemployment correlates negatively with the
long-run components of investment. Taking potential structural breaks
into consideration in each of the ten countries and ignoring other vari-
ables, our results indicate that short- to long-run components of capi-
tal formation explain between 40 percent and 81 percent of variations
in unemployment. Our results support the view that economic models
of long-run unemployment and labor market policy should take long-run
conditions for investment into account.

Department/s

  • Department of Economic History
  • Sustainability transformations over time and space

Publishing year

2023

Language

English

Pages

144-167

Publication/Series

Structural Change and Economic Dynamics

Volume

64

Document type

Journal article

Publisher

Elsevier

Topic

  • Economic History

Status

Published

ISBN/ISSN/Other

  • ISSN: 0954-349X