Minimum wage as the determinant of productivity in EU countries

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F25%3A43926703" target="_blank" >RIV/62156489:43110/25:43926703 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1504/IJCEE.2024.10062965" target="_blank" >https://doi.org/10.1504/IJCEE.2024.10062965</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1504/IJCEE.2024.10062965" target="_blank" >10.1504/IJCEE.2024.10062965</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Minimum wage as the determinant of productivity in EU countries

Popis výsledku v původním jazyce

When introducing and setting minimum wages, primarily to reduce poverty and avoid undesirable phenomena in the labour market, it is necessary to monitor the impact on various aspects of the real economy. This paper focuses on demonstrating the positive impact of nominal minimum wage growth on productivity in EU countries. A cluster analysis is used to divide countries into two distinguished clusters. Using panel regression, the effect of a minimum wage is found to be significant and positive. To rule out spurious regressions and to demonstrate the robustness of the performed analyses, appropriate covariates are included in the models, different forms of productivity are modelled, and the models are also estimated independently for each cluster.

Název v anglickém jazyce

Minimum wage as the determinant of productivity in EU countries

Popis výsledku anglicky

When introducing and setting minimum wages, primarily to reduce poverty and avoid undesirable phenomena in the labour market, it is necessary to monitor the impact on various aspects of the real economy. This paper focuses on demonstrating the positive impact of nominal minimum wage growth on productivity in EU countries. A cluster analysis is used to divide countries into two distinguished clusters. Using panel regression, the effect of a minimum wage is found to be significant and positive. To rule out spurious regressions and to demonstrate the robustness of the performed analyses, appropriate covariates are included in the models, different forms of productivity are modelled, and the models are also estimated independently for each cluster.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50202 - Applied Economics, Econometrics

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

International Journal of Computational Economics and Econometrics

ISSN

1757-1170

e-ISSN

1757-1189

Svazek periodika

15

Číslo periodika v rámci svazku

1/2

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

15

Strana od-do

3-17

Kód UT WoS článku

001447072200001

EID výsledku v databázi Scopus

2-s2.0-105000538715