Analysis of Key Macroeconomic Indicators and Their Relationship to Unemployment in the Czech Republic
dc.contributor.author | Hedvičáková, Martina | |
dc.contributor.author | Pozdílková, Alena | |
dc.contributor.other | Ekonomická fakulta | cs |
dc.date.accessioned | 2023-09-27T12:41:04Z | |
dc.date.available | 2023-09-27T12:41:04Z | |
dc.description.abstract | The Czech Republic boasts one of the lowest unemployment rates in the European Union, indicating a demand-supply imbalance in the labour market. This situation has implications for other labour market-related variables, such as nominal wages and labour productivity. In 2021, there was a significant increase in the inflation rate, reaching 15.1%. This development also impacted the trajectory of real wages. This article uses statistical analysis to predict the future economic trends of essential macroeconomic indicators related to the labour market. The dependence of individual variables on the unemployment rate will be determined through correlation analysis. Additionally, the study aims to assess the degree of independence between the unemployment rate and selected economic indicators, including nominal wages, labour productivity, real wages, and inflation. Future developments will be forecasted based on linear time series regression models for each examined variable. The statistical results will be economically interpreted in light of the current economic situation. Overall, the results of the correlation analysis indicate a significant statistical relationship between unemployment and nominal wages, suggesting a strong negative correlation between these variables. This finding aligns with macroeconomic expectations that an increase in unemployment leads to a decrease in the rate of nominal wage growth. The correlation analysis between unemployment and inflation reveals a moderate indication of a negative relationship between the two variables. However, the correlation analysis between unemployment and labour productivity and between unemployment and real wages indicates weak and insufficient evidence of any significant relationship between these variables. Therefore, further analyses and consideration of additional factors are necessary to obtain a more comprehensive and reliable understanding of these relationships. | en |
dc.format | text | |
dc.identifier.doi | 10.15240/tul/009/lef-2023-45 | |
dc.identifier.isbn | 978-80-7494-627-1 | |
dc.identifier.uri | https://dspace.tul.cz/handle/15240/172861 | |
dc.language.iso | en | |
dc.publisher | Technická Univerzita v Liberci | cs |
dc.publisher | Technical university of Liberec, Czech Republic | en |
dc.publisher.abbreviation | TUL | |
dc.relation.isbasedon | ADELOWOKAN, O. O. A., BABASANYA, A. O., MAKU, O. E., & ADESOYE, A. B. (2019). Unemployment, poverty and economic growth in Nigeria. Journal of Economics and Management, 35, 5–17. https://doi.org/10.22367/jem.2019.35.01 | |
dc.relation.isbasedon | BLANCHARD, O., CERUTTI, E., & SUMMERS, L. (2015). Inflation and Activity – Two Explorations and their Monetary Policy Implications (Č. w21726; s. w21726). National Bureau of Economic Research. https://doi.org/10.3386/w21726 | |
dc.relation.isbasedon | CNB. (2023). CNB forecast – Spring 2023. https://www.cnb.cz/en/monetary-policy/forecast/ | |
dc.relation.isbasedon | CZECH STATISTICAL OFFICE. (2023). Key macroeconomic indicators. https://www.czso.cz/csu/czso/hmu_ts | |
dc.relation.isbasedon | HEDVIČÁKOVÁ, M., & POZDÍLKOVÁ, A. (2023). Analysis of Healthcare Expenditures in the Czech Republic (J. Maci, P. Maresova, K. Firlej, & I. Soukal, Ed.; s. 215–223). Hradec Economic Days 2023, Hradec Králové, https://doi.org/10.36689/uhk/hed/2023-01-021 | |
dc.relation.isbasedon | MAČÍ, J. (2020). Is There a Trend of Euroization of EU Countries Still Using Their National Currencies? Trade and Invoicing. E+M Ekonomie a Management, 23(4), 182–196. https://doi.org/10.15240/tul/001/2020-4-012 | |
dc.relation.isbasedon | MCLEAY, M., & TENREYRO, S. (2020). Optimal Inflation and the Identification of the Phillips Curve. UNIV OF CHICAGO Press. https://doi.org/10.3386/w25892 | |
dc.relation.isbasedon | MONTGOMERY, Douglas C., Elizabeth A. PECK a G. Geoffrey VINING. Introduction to linear regression analysis. 4th ed. Hoboken, N.J.: Wiley-Interscience, 2006. ISBN 9780471754954. | |
dc.relation.isbasedon | MURA, L., ZSIGMOND, T., KOVÁCS, A., & BALOGHOVÁ, É. (2020). Unemployment and GDP relationship analysis in the Visegrad four countries. On-line Journal Modelling the New Europe, 34, 118–134. https://doi.org/10.24193/OJMNE.2020.34.06 | |
dc.relation.isbasedon | PAWĘTA, B. (2018). Impact of the Global Financial Crisis on the Business Cycle in the Visegrad Group. Entrepreneurial Business and Economics Review, 6(3), 43–58. https://doi.org/10.15678/EBER.2018.060303 | |
dc.relation.isbasedon | SU, C.-W., DAI, K., ULLAH, S., & ANDLIB, Z. (2022). COVID-19 pandemic and unemployment dynamics in European economies. Economic Research-Ekonomska Istraživanja, 35(1), 1752–1764. https://doi.org/10.1080/1331677X.2021.1912627 | |
dc.relation.isbasedon | VIGLIAROLO, F. (2020). Economic phenomenology: Fundamentals, principles and definition. Insights into Regional Development, 2(1), 418–429. https://doi.org/10.9770/IRD.2020.2.1(2) | |
dc.relation.isbasedon | WANG, C.-N., & LE, A. (2018). Measuring the Macroeconomic Performance among Developed Countries and Asian Developing Countries: Past, Present, and Future. Sustainability, 10(10), 3664. https://doi.org/10.3390/su10103664 | |
dc.relation.ispartof | Liberecké ekonomické fórum 2023 | cs |
dc.relation.ispartof | Liberec Economic Forum 2023 | en |
dc.subject | unemployment | en |
dc.subject | correlation analysis | en |
dc.subject | Spearman correlation coefficient | en |
dc.subject | prognosis | en |
dc.subject | wage | en |
dc.subject.classification | E24 | |
dc.subject.classification | C02 | |
dc.title | Analysis of Key Macroeconomic Indicators and Their Relationship to Unemployment in the Czech Republic | en |
dc.type | proceeding paper | en |
local.access | open | |
local.citation.epage | 424 | |
local.citation.spage | 416 | |
local.faculty | Faculty of Economics | |
local.fulltext | yes | |
local.relation.abbreviation | LEF | cs |
local.relation.abbreviation | LEF | en |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- LEF_2023_45.pdf
- Size:
- 377.49 KB
- Format:
- Adobe Portable Document Format
- Description:
- conference paper