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Determinants of Unemployment in V4 countries: Regression Analysis Model

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F14%3A86090049" target="_blank" >RIV/61989100:27510/14:86090049 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Determinants of Unemployment in V4 countries: Regression Analysis Model

  • Original language description

    Unemployment is considered as important issue for which the concerns to dealing among policy makers are growMSc. This paper analyses different determinants of unemployment in V4 countries. Simple regression analysis for each V4 countries has been appliedto investigate relationship of unemployment among other variables such as nominal growth rate, consumer price index, exports, real labour productivity etc. in V4 countries by using time series data from 1996 to 2012.Unemployment has been explained withdifferent determinants that are having positive and negative impact on the models of Hungary, Slovakia and Poland separately. In the same way, results of regression model indicates that unemployment has statistically significant and having positive relationship with labour productivity and Inward Foreign Direct Investment and negative relationship with inflation rate in the case of Czech republic in V4 countries. It is recommended that V4 countries needs to adopt output oriented policies

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    AH - Economics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the International Summer School for Doctoral Students on Research Methods and Soft Skills Development DOC?S ON THE MOVE 2014

  • ISBN

    978-80-225-3899-2

  • ISSN

  • e-ISSN

  • Number of pages

    11

  • Pages from-to

    37 - 47

  • Publisher name

    Ekonóm

  • Place of publication

    Bratislava

  • Event location

    Bratislava

  • Event date

    Jul 6, 2014

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article