IDEAS home Printed from https://ideas.repec.org/a/bas/econth/y2008i3p90-106.html
   My bibliography  Save this article

Analysis of the Labour Market in Bulgaria through a Error Correction Model

Author

Listed:
  • Anita Staneva

Abstract

The study examines the problems of developing and evaluating a econometric tools for analysis of the labour market in Bulgaria. Applied is an error correction model and a cointegrational analysis to evaluate the main interactions between labour market parameters for the period 1991-2006. In the model are included and examined the most important indexes that characterize the functioning of the labour market (unemployment, employment, wages, productivity of labour and inflation). Through the evaluated restricted version of a vector autoregression model and decomposition of errors is determined the impact of main shocks by the aggregate supply and demand, inflation, wages and technological changes in the prognosis of the evaluated variables. The evaluated model is stable and adequate. The results show that decrease in the level of unemployment is possible only in the presence of positive shocks by the aggregate supply.

Suggested Citation

  • Anita Staneva, 2008. "Analysis of the Labour Market in Bulgaria through a Error Correction Model," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 3, pages 90-106.
  • Handle: RePEc:bas:econth:y:2008:i:3:p:90-106
    as

    Download full text from publisher

    File URL: http://www.ceeol.com/aspx/issuedetails.aspx?issueid=511c017a-b33b-4fb1-a4e0-68b6b90cdd02&articleid=6ea2f0c7-77ec-4ead-ba1e-7f7276b4b355#a6ea2f0c7-77ec-4ead-ba1e-7f7276b4b355
    Download Restriction: Fee access
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ralf Brüggemann, 2006. "Sources of German unemployment: a structural vector error correction analysis," Empirical Economics, Springer, vol. 31(2), pages 409-431, June.
    2. David F. Hendry & Katarina Juselius, 2001. "Explaining Cointegration Analysis: Part II," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 75-120.
    3. Ivanov Ventzislav & Kilian Lutz, 2005. "A Practitioner's Guide to Lag Order Selection For VAR Impulse Response Analysis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 9(1), pages 1-36, March.
    4. Bierens, Herman J., 1997. "Nonparametric cointegration analysis," Journal of Econometrics, Elsevier, vol. 77(2), pages 379-404, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Marei Elbadri & Eralp Bektaş, 2022. "Dynamic relationship among the bank stability, oil, and gold prices: Evidence from the Islamic banks operating in the Gulf Cooperation Council countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 2153-2168, April.
    2. Kamel Jlassi, 2015. "Modelling and Forecasting of Tunisian Current Account: Aggregate versus Disaggregate Approach," IHEID Working Papers 13-2015, Economics Section, The Graduate Institute of International Studies.
    3. Hendry, David F. & Clements, Michael P., 2003. "Economic forecasting: some lessons from recent research," Economic Modelling, Elsevier, vol. 20(2), pages 301-329, March.
    4. António Duarte, 2009. "The Portuguese Disinflation Process: Analysis of Some Costs and Benefits," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 16(1), pages 157-173, May.
    5. Takamitsu Kurita, 2007. "A dynamic econometric system for the real yen–dollar rate," Empirical Economics, Springer, vol. 33(1), pages 115-149, July.
    6. Ivan Kitov & Oleg Kitov, 2013. "Does Banque de France control inflation and unemployment?," Papers 1311.1097, arXiv.org.
    7. Rangan Gupta & Josine Uwilingiye, 2008. "Measuring The Welfare Cost Of Inflation In South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 76(1), pages 16-25, March.
    8. Dutrénit, Gabriela & Natera, José Miguel & Puchet Anyul, Martín & Vera-Cruz, Alexandre O., 2019. "Development profiles and accumulation of technological capabilities in Latin America," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 396-412.
    9. Arpita Chatterjee & Richa Saraf, 2017. "Impact of China on World Commodity Prices and Commodity Exporters," Discussion Papers 2017-13, School of Economics, The University of New South Wales.
    10. Mariarosaria Comunale & Markus Eller & Mathias Lahnsteiner, 2020. "Assessing credit gaps in CESEE based on levels justified by fundamentals – a comparison across different estimation approaches," Bank of Lithuania Working Paper Series 74, Bank of Lithuania.
    11. Ruixiaoxiao Zhang & Geoffrey QP Shen & Meng Ni & Johnny Wong, 2020. "The relationship between energy consumption and gross domestic product in Hong Kong (1992–2015): Evidence from sectoral analysis and implications on future energy policy," Energy & Environment, , vol. 31(2), pages 215-236, March.
    12. Christine Nanjala Simiyu, 2015. "Explaining the Relationship between Public Expenditure and Economic Growth in Kenya using Vector Error Correction Model (VECM)," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, vol. 4(3), pages 19-38, September.
    13. John T. Cuddington and Leila Dagher, 2015. "Estimating Short and Long-Run Demand Elasticities: A Primer with Energy-Sector Applications," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    14. George Kapetanios, 2003. "A New Nonparametric Test of Cointegration Rank," Working Papers 482, Queen Mary University of London, School of Economics and Finance.
    15. Shawkat Hammoudeh & Eisa Aleisa, 2004. "Dynamic Relationships among GCC Stock Markets and Nymex Oil Futures," Contemporary Economic Policy, Western Economic Association International, vol. 22(2), pages 250-269, April.
    16. Catalán, Mario & Hoffmaister, Alexander W., 2022. "When banks punch back: Macrofinancial feedback loops in stress tests," Journal of International Money and Finance, Elsevier, vol. 124(C).
    17. repec:ebl:ecbull:v:7:y:2006:i:4:p:1-7 is not listed on IDEAS
    18. Chowdhury, Rosen & Cook, Steve & Watson, Duncan, 2023. "Reconsidering the relationship between health and income in the UK," Social Science & Medicine, Elsevier, vol. 332(C).
    19. David F. Hendry & Grayham E. Mizon, 2016. "Improving the teaching of econometrics," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1170096-117, December.
    20. Deebii Nwiado & Lezaasi LeneeTorbira, 2016. "A Panel Data Analysis of the Validity of Uncovered Interest Rate Parity (UIRP) in Selected African Countries," Research in World Economy, Research in World Economy, Sciedu Press, vol. 7(2), pages 15-25, December.
    21. Eva Liljeblom & Sabur Mollah & Patrik Rotter, 2015. "Do dividends signal future earnings in the Nordic stock markets?," Review of Quantitative Finance and Accounting, Springer, vol. 44(3), pages 493-511, April.

    More about this item

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General
    • J60 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bas:econth:y:2008:i:3:p:90-106. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Diana Dimitrova (email available below). General contact details of provider: https://edirc.repec.org/data/ikbasbg.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.