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Author
Kołbyko Patryk (Uniwersytet Marii Curie -Skłodowskiej w Lublinie)
Title
Application of the Vector-Autoregression VAR Model in the Analysis of Unemployment Hysteresis in the Context of Okun's Law
Source
Research Papers in Economics and Finance, 2022, vol. 6, nr 2, s. 68-85, wykr., tab., rys., bibliogr. 33 poz.
Keyword
Histereza, Prawo Okuna, Bezrobocie, Rynek pracy
Hysteresis, Okun’s Law, Unemployment, Labour market
Note
summ.
Abstract
Unemployment is an important macroeconomic issue both in theoretical terms and for economic reality. On the theoretical ground, the unemployment rate, which is a measure of the share of unemployed units of the labour supply in the economy, determines the output gap at a certain adjustment parameter determined by the marginal productivity of labour. One of the causes of rising or persistent unemployment in the economy is the phenomenon of unemployment hysteresis, which occurs as a result of changes in the marginal disutility of labour, the strength of the wage bargain and other exogenous conditions arising in previous periods. The purpose of the study conducted in the following paper is to investigate the phenomenon of hysteresis in the labour market by analysing the significance of the impact of the unemployment rate in previous periods. In addition, the work aims to study Okun's Law as an effect of production dynamics on the unemployment rate. The study of the dependence was carried out through the estimation of a macroeconometric time series model-vector-autoregression (VAR) on the example of statistical data for Poland obtained from Statistics Poland (Stat.gov.pl) and complied raports about national accounts in the quarterly sequence for the years 2015-2021.(original abstract)
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Bibliography
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  1. Batóg, B., & Batóg, J. (2012). Analiza wydajności pracy największych polskich przedsiębiorstw w latach 2004-2008 na podstawie danych panelowych. Studia i Prace Wydziału Nauk Ekonomicznych i Zarządzania, 26, 21-32.
  2. Blanchard, O. J., & Summers, L. H. (1986). Hysteresis and the European unemployment problem, NBER Working Paper Series, No. 1950. https://doi.org/10.3386/w1950.
  3. Blanchard, O., & Quah, D. (1988). The dynamic effects of aggregate demand and supply disturbances.NBER Working Paper Series, No. 2737. https://doi.org/10.3386/w2737.
  4. Bohner, M., Gelles, & G., Heim, J. (2010). Multiplier-accelerator models on time scales. International Journal of Statistics and Economics, 4(10), 1-12.
  5. Budnik, K., Greszta, M., Hulej, M., Kolasa, M., Murawski, K., Rot, M., Rybaczyk, B., & Tarnicka, M. (2009). The new macroeconometric model of the Polish economy. National Bank of Poland Working Paper, No. 62. https://doi.org/10.2139/ssrn.1752088.
  6. Cavallo, A., De Maria, G., & Natale, C. (2005). Limit cycles in feedback control systems with hysteresis. IFAC Proceedings Volumes, 38(1), 360-365. https://doi.org/10.3182/20050703- 6-CZ-1902.00714.
  7. Chenery, H. B. (1952). Overcapacity and the acceleration principle. Econometrica, 20(1), 1-28. https://doi.org/10.2307/1907804.
  8. Clark, J. M. (1917). Business acceleration and the law of demand: A technical factor in economic cycles. Journal of Political Economy, 25(3), 217-235. https://doi. org/10.1086/252958.
  9. Cross, R., Darby, J., Ireland, J., &Piscitelli, L. (2005). Hysteresis and unemployment: A preliminary investigation.Computing in Economics and Finance, Society for Computational Economics.
  10. Davidson, R., & MacKinnon J. G. (2004). Econometric theory and methods. Oxford University Press.
  11. Friedman, M. (1966). The methodology of positive economics. University of Chicago Press. https://doi.org/10.1017/cbo9780511581427.002.
  12. Gajda, J. B. (2001). Prognozowanie i symulacja a decyzje gospodarcze. Wydawnictwo C.H. Beck.
  13. Gali, J. (2020). Insider-outsider labour markets, hysteresis and monetary policy. NBER Working Paper Series, No. 27385. https://doi.org/10.3386/w27385.
  14. Guichard, S., & Rusticelli, E. (2010). Assessing the impact of the financial crisis on structural unemployment in OECD countries. OECD Economics Department Working Papers, No. 767, OECD Publishing. https://doi.org/10.1787/5kmftp8khfjg-en.
  15. Grinfeld, M., Cross, R., & Lamba, H. (2009). Hysteresis and economics-taking the economic past into account. IEEE Control Systems Magazine, 29(1), 30-43.
  16. Hall, S. G., Roudoi, A., Albu, L. L., Lupu, R., & Călin, A. C. (2014). Lawrence R. Klein and the economic forecasting-a survey. Romanian Journal of Economic Forecasting, 17(1), 5-14. https://ipe.ro/rjef/rjef1_14/rjef1_2014p5-14.pdf.
  17. Hara, N., Ichiue, H., Kojima, S., & Nakamura, K. (2009). Practical use of macroeconomic models at central banks. Research and Statistics Department.
  18. Hatemi-J, A., & Hacker, S. (2009). Can LR test be helpful in choosing the optimal lag order in the VAR model when information criteria suggest different lag orders? Applied Economics, 41(9), 1121-1125. https://doi.org/10.1080/00036840601019273.
  19. Jamróz, P., & Kilon, J. (2015). Informational (in)efficiency of the Polish futures market. Zeszyty Naukowe Uniwersytetu Szczecińskiego. Finanse, Rynki Finansowe, Ubezpieczenia, 75, 193-204. https://doi.org/10.18276/frfu.2015.75-16.
  20. Jeznach, M. (2017). Quarterly national accounts of gross domestic product 2012-2016. National Accounts Department, Zakład Wydawnictw Statystycznych.
  21. Kaldor, N. (1940). A model of the trade cycle. The Economic Journal, 50(197), 78-92. https:// doi.org/10.2307/2225740.
  22. Karunaratne, N. D. (1995). Paradox of hysteresis and real-wage flexibility in Australia. Journal of Post Keynesian Economics, 17(4), 503-514. https://doi.org/10.1080/0160 3477.1995.11490046.
  23. Kilian, L. (2011). Structural vector autoregressions. CEPR Discussion Paper, No. DP8515.
  24. Kufel, T. (2007). Ekonometria. Rozwiązywanie problemów z wykorzystaniem program GRETL. Wydawnictwo Naukowe PWN.
  25. Lee, C. W., & Huruta, A. D. (2019). Okun's law in an emerging country: An empirical analysis in Indonesia. International Entrepreneurship Review, 5(4), 141-160.
  26. Mc Namara, H., & Pokrovskii, A. (2006). Hysteresis in the trade cycle. Physica B: Condensed Matter, 372(1-2), 202-206. https://doi.org/10.1016/j.physb.2005.10.048.
  27. Okun, A. M. (1962). Potential GNP: its Measurement and Significance. Cowles Foundation Paper, No. 190.
  28. Pata, U., Yurtkuran, S., & Kalca, A. (2018). A revisited causality analysis of Okun's Law: The case of Turkey. Theoretical and Applied Economics, 4(617), 121-134.
  29. Perron, P., & Qu, Z. (2007). Estimating and testing structural changes in multivariate regressions. Econometrica, 70(2), 459-502. https://doi.org/10.1111/j.1468-0262.2006.00754.x.
  30. Perzyna, A. (2022). Quarterly national accounts of gross domestic product 2017-2021. Statistics Poland, Zakład Wydawnictw Statystycznych.
  31. Robinson, W. (1998). Forecasting inflation using VAR analysis. Bank of Jamaica.
  32. Rutherford, M. (1987). Wesley Mitchell: Institutions and quantitative methods. Eastern Economic Journal, 12(1), 63-73.
  33. Stat.gov.pl. (2022). Stopa bezrobocia rejestrowanego w latach 1990-2022, https://stat. gov.pl/obszary-tematyczne/rynek-pracy/bezrobocie-rejestrowane/stopa-bezrobociarejestrowanego- w-latach-1990-2022,4,1.html.
  34. Valera, M. L. G., & Dean, A. R. R. (2021). Analyzing the unemployment hysteresis in the Philippines using the VAR model. Journal of Global Business and Trade, 17(1), 17-25. https://doi.org/10.20294/jgbt.2021.17.1.17.
  35. Warzecha, K., & Wójcik, A. (2014). Using vector autoregressions models to the forecasting of the choosing national economy. Studia Ekonomiczne. Uniwersytet Ekonomiczny w Katowicach, 203, 181-192.
  36. Wójcik, A. (2014). Modele wektorowo-autoregresyjne jako odpowiedź na krytykę strukturalnych wielorównaniowych modeli ekonometrycznych. Studia Ekonomiczne Uniwersytet Ekonomiczny w Katowicach, 193, 112-128.
  37. Zwiech, P. (2013). Determinants of socio-economic inequalities in the context of the theory of competitive labour market. Optimum. Studia Ekonomiczne, 2(62), 106-116. https:// doi.org/10.15290/ose.2013.02.62.08
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ISSN
2543-6430
Language
eng
URI / DOI
http://dx.doi.org/10.18559/ref.2022.2.4
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