Wage growth in Lithuania from 2008 to 2020: observed drivers and underlying shocks

ABSTRACTThis paper studies the drivers of wage growth in Lithuania over the period 2008–2020. Using administrative data as well as aggregate measures reflecting the state of the economy, we estimate an extended version of a wage Phillips curve. Our reduced-form estimates indicate that nominal wage g...

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Main Authors: Jose Garcia-Louzao, Valentin Jouvanceau
Format: Article
Language:English
Published: Taylor & Francis Group 2023-07-01
Series:Baltic Journal of Economics
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/1406099X.2023.2254488
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author Jose Garcia-Louzao
Valentin Jouvanceau
author_facet Jose Garcia-Louzao
Valentin Jouvanceau
author_sort Jose Garcia-Louzao
collection DOAJ
description ABSTRACTThis paper studies the drivers of wage growth in Lithuania over the period 2008–2020. Using administrative data as well as aggregate measures reflecting the state of the economy, we estimate an extended version of a wage Phillips curve. Our reduced-form estimates indicate that nominal wage growth was tightly linked to labor market fluctuation over this period. Labor productivity, changes in the minimum wage, and the composition of employment also contributed to wage dynamics. However, we find little evidence that past inflation has been a push factor. To understand the underlying economic primitives behind our findings, we estimate a structural Bayesian autoregressive model. Our structural analysis reveals a significant contribution from aggregate supply shocks, reflecting a stronger relationship between productivity and wages than implied by our reduced-form estimates. Moreover, a historical decomposition reveals that since 2013, wages grew over and above productivity due to rising aggregate demand and labor market disturbances.
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spelling doaj.art-a8ef95051cf74d02851ffb48c611f4c32024-03-25T17:18:29ZengTaylor & Francis GroupBaltic Journal of Economics1406-099X2334-43852023-07-0123211714110.1080/1406099X.2023.2254488Wage growth in Lithuania from 2008 to 2020: observed drivers and underlying shocksJose Garcia-Louzao0Valentin Jouvanceau1Bank of Lithuania, Vilnius, LithuaniaBank of Lithuania, Vilnius, LithuaniaABSTRACTThis paper studies the drivers of wage growth in Lithuania over the period 2008–2020. Using administrative data as well as aggregate measures reflecting the state of the economy, we estimate an extended version of a wage Phillips curve. Our reduced-form estimates indicate that nominal wage growth was tightly linked to labor market fluctuation over this period. Labor productivity, changes in the minimum wage, and the composition of employment also contributed to wage dynamics. However, we find little evidence that past inflation has been a push factor. To understand the underlying economic primitives behind our findings, we estimate a structural Bayesian autoregressive model. Our structural analysis reveals a significant contribution from aggregate supply shocks, reflecting a stronger relationship between productivity and wages than implied by our reduced-form estimates. Moreover, a historical decomposition reveals that since 2013, wages grew over and above productivity due to rising aggregate demand and labor market disturbances.https://www.tandfonline.com/doi/10.1080/1406099X.2023.2254488Wage growthPhillips curvestructural BVARadministrative data
spellingShingle Jose Garcia-Louzao
Valentin Jouvanceau
Wage growth in Lithuania from 2008 to 2020: observed drivers and underlying shocks
Baltic Journal of Economics
Wage growth
Phillips curve
structural BVAR
administrative data
title Wage growth in Lithuania from 2008 to 2020: observed drivers and underlying shocks
title_full Wage growth in Lithuania from 2008 to 2020: observed drivers and underlying shocks
title_fullStr Wage growth in Lithuania from 2008 to 2020: observed drivers and underlying shocks
title_full_unstemmed Wage growth in Lithuania from 2008 to 2020: observed drivers and underlying shocks
title_short Wage growth in Lithuania from 2008 to 2020: observed drivers and underlying shocks
title_sort wage growth in lithuania from 2008 to 2020 observed drivers and underlying shocks
topic Wage growth
Phillips curve
structural BVAR
administrative data
url https://www.tandfonline.com/doi/10.1080/1406099X.2023.2254488
work_keys_str_mv AT josegarcialouzao wagegrowthinlithuaniafrom2008to2020observeddriversandunderlyingshocks
AT valentinjouvanceau wagegrowthinlithuaniafrom2008to2020observeddriversandunderlyingshocks