dc.contributor.author | Rollnik‑Sadowska, Ewa | |
dc.contributor.author | Cichowicz, Ewa | |
dc.contributor.author | Dębkowska, Katarzyna | |
dc.date.accessioned | 2025-01-07T13:37:00Z | |
dc.date.available | 2025-01-07T13:37:00Z | |
dc.date.issued | 2024-12-19 | |
dc.identifier.issn | 1508-2008 | |
dc.identifier.uri | http://hdl.handle.net/11089/54096 | |
dc.description.abstract | The general aim of the article is to verify the extent of labor market slack at three moments considered crucial when analyzing labor market changes caused by the COVID–19 pandemic. The main goal is to identify similarities and differences between EU countries grouped into clusters identified during the research.The study uses cluster analysis to classify the EU members into groups of similar countries according to the labor market slack variables observed before (2019) and during the pandemic (2020, 2021). A two‑stage approach was selected. In the first stage, hierarchical analysis was used to determine the initial number of groups, while in the second stage, the proper classification of objects was made using the k‑means method.A comparison of changes taking place in the labor markets of the analyzed countries allows us to select four homogeneous clusters of countries in all periods under study. The results also show that the labor market slack in most EU countries did not change over the analyzed period, although some countries improved (like Ireland, France, and Cyprus). The reason could be the effectiveness of measures that support labor markets that were implemented during the pandemic. The country where the labor market slack situation worsened is Italy.It would be valuable to analyze in more detail the effectiveness of labor market policies and programs from countries in the identified clusters because they contributed to a relatively stable labor market slack situation. Future research should also be directed towards analyzing changes on the side of employment, including a sectoral analysis, which would expand the knowledge of the labor market during the COVID–19 crisis. Moreover, to deepen the analysis of labor market slack, the demographic structure could be included.Analysis of the labor market based solely on the unemployment rate is insufficient, which is even more visible in the face of the consequences caused by the COVID–19 pandemic as that measure does not include the “discouraged worker effect”. For the EU, there is a research gap regarding this effect, which can be gleaned from the labor market slack statistics. This article, therefore, fills the gap. | en |
dc.description.abstract | Celem ogólnym artykułu jest weryfikacja poziomu niewykorzystanego potencjału na rynku pracy w trzech momentach uznanych za kluczowe podczas analizy zmian spowodowanych przez pandemię. Głównym celem jest zidentyfikowanie podobieństw i różnic między krajami UE, które zostały przypisane do klastrów wyodrębnionych w procesie badawczym.W badaniu zastosowano analizę skupień w celu klasyfikacji państw członkowskich UE do grup podobnych krajów według zmiennych niewykorzystanego potencjału na rynku pracy, obserwowanych przed pandemią (2019) oraz w jej trakcie (2020, 2021). Wybrano podejście dwuetapowe. Na pierwszym etapie zastosowano analizę hierarchiczną do określenia początkowej liczby grup, natomiast na drugim etapie dokonano właściwej klasyfikacji obiektów przy użyciu metody k‑średnich.Porównanie zmian zachodzących na rynkach pracy analizowanych krajów pozwala na wyodrębnienie czterech jednorodnych klastrów we wszystkich badanych okresach. Wyniki badania pokazują także, że w analizowanym okresie sytuacja większości krajów UE w odniesieniu do niewykorzystanego potencjału na rynku pracy się nie zmieniła. Niektóre z nich poprawiły swoją sytuację (jak Irlandia, Francja czy Cypr). Powodem takiej sytuacji może być skuteczność środków wspierających rynki pracy, które zostały wdrożone w krajach UE podczas pandemii. Krajem, w którym sytuacja w kontekście niewykorzystanego potencjału na rynku pracy pogorszyła się, są Włochy.W perspektywie dalszych badań zasadne byłoby dokonanie dokładnej analizy skuteczności polityk i programów rynku pracy stosowanych w krajach zidentyfikowanych klastrów, ponieważ przyczyniły się one do względnie stabilnej sytuacji niewykorzystanego potencjału na rynku pracy. Przyszłe badania powinny być również skierowane na analizę zmian po stronie zatrudnienia, w tym analizę sektorową, co rozszerzyłoby wiedzę na temat sytuacji na rynku pracy w czasie kryzysu COVID–19. Co więcej, aby pogłębić analizę niewykorzystanego potencjału na rynku pracy, można włączyć perspektywę struktury demograficznej populacji.Analizy rynku pracy oparte wyłącznie na stopie bezrobocia są niewystarczające, co jest szczególnie widoczne w obliczu konsekwencji spowodowanych przez pandemię COVID–19, ponieważ ta miara nie uwzględnia „efektu zniechęconego pracownika”. Dla UE istnieje luka badawcza w tym zakresie, co można wywnioskować ze statystyk niewykorzystanego potencjału na rynku pracy. Artykuł ten wypełnił więc wskazaną lukę. | pl |
dc.language.iso | en | |
dc.publisher | Wydawnictwo Uniwersytetu Łódzkiego | pl |
dc.relation.ispartofseries | Comparative Economic Research. Central and Eastern Europe;4 | pl |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0 | |
dc.subject | labor market slack | en |
dc.subject | unemployment | en |
dc.subject | COVID–19 | en |
dc.subject | anti‑crisis policy | en |
dc.subject | cluster analysis | en |
dc.subject | niewykorzystany potencjał na rynku pracy | pl |
dc.subject | bezrobocie | pl |
dc.subject | COVID–19 | pl |
dc.subject | polityka antykryzysowa | pl |
dc.subject | analiza skupień | pl |
dc.title | Labor Market Slack in the EU during the COVID–19 Crisis | en |
dc.title.alternative | Niewykorzystany potencjał na rynku pracy UE w czasie kryzysu COVID–19 | pl |
dc.type | Article | |
dc.page.number | 109-134 | |
dc.contributor.authorAffiliation | Rollnik‑Sadowska, Ewa - Bialystok University of Technology | en |
dc.contributor.authorAffiliation | Cichowicz, Ewa - SGH Warsaw School of Economics | en |
dc.contributor.authorAffiliation | Dębkowska, Katarzyna - University of Bialystok | en |
dc.identifier.eissn | 2082-6737 | |
dc.references | Adams‑Prassl, A., Boneva, T., Golin, M., Rauh, C. (2020), Inequality in the impact of the coronavirus shock: Evidence from real time surveys, “Journal of Public Economics”, 189, 104245, https://doi.org/10.1016/j.jpubeco.2020.104245 | en |
dc.references | Ando, S., Balakrishnan, R., Gruss, B., Hallaert, J.‑J., Jirasavetakul, L.‑B.F., Kirabaeva, K., Nir Klein, N., Lariau, A., Liu L.Q., Malacrino, D., Qu, H., Solovyeva, A. (2022), European Labor Markets and the COVID–19 Pandemic: Fallout and the Path Ahead, European Department, International Monetary Fund, Washington, https://doi.org/10.5089/9798400200960.087 | en |
dc.references | Baert, S. (2021), What shifts did COVID–19 year 2020 bring to the labour market in Europe?, “Applied Economics Letters”, 29 (15), pp. 1447–1454, https://doi.org/10.1080/13504851.2021.1959893 | en |
dc.references | Balgová, M., Trenkle, S., Zimpelmann, C., Pestel, N. (2022), Job search during a pandemic recession: Survey evidence from the Netherlands, “Labour Economics”, 75, pp. 1–21, https://doi.org/10.1016/j.labeco.2022.102142 | en |
dc.references | Bell, D.N.F., Blanchflower, D.G. (2018), The lack of wage growth and the failing NAIRU, “National Institute Economic Review”, 245, pp. R40–R55, https://doi.org/10.1177/002795011824500114 | en |
dc.references | Berger, T., Vierke, H. (2017), Estimating the natural rate of hours, “Macroeconomic Dynamics”, 21 (6), pp. 1426–1453, https://doi.org/10.1017/S1365100515000917 | en |
dc.references | Blanchflower, D.G., Levin, A.T. (2015), Labor market slack and monetary policy, “NBER Working Paper Series”, 21094, pp. 1–24, https://doi.org/10.3386/w21094 | en |
dc.references | Bonam, D., Haan, J. de, Limbergen, D. van (2021), Time‑varying wage Phillips curves in the euro area with a new measure for labor market slack, “Economic Modelling”, 96, pp. 157–171, https://doi.org/10.1016/j.econmod.2020.12.027 | en |
dc.references | Brioscú, A., O’Reilly, J., Coates, D. (2021), The COVID–19 pandemic and Ireland’s labour market: insights through the lens of the pandemic unemployment payment and the characteristics of impacted workers, “The Economic and Social Review”, 52 (2), pp. 193–216. | en |
dc.references | Bruckmeier, K., Peichl, A., Popp, M., Wiemers, J., Wollmershauser, T. (2021), Distributional effects of macroeconomic shocks in real‑time, “Journal of Economic Inequality”, 19, pp. 459–487, https://doi.org/10.1007/s10888-021-09489-4 | en |
dc.references | Byrne, D., Zeikaite, Z. (2020), Non‑linearity in the wage Phillips curve: Euro area analysis, “Economics Letters”, 186, 108521, https://doi.org/10.1016/j.econlet.2019.07.006 | en |
dc.references | Cahuc, P. (2022), IZA COVID–19 Crisis Response Monitoring: France, (February 2022), IZA – Institute of Labor Economics, Bonn, https://www.iza.org/wc/files/downloads/iza__crisismonitor_countryreport_fr_202202.pdf (accessed: 8.01.2024). | en |
dc.references | Coibion, O., Gorodnichenko, Y., Weber, M. (2020), Labor markets during the Covid–19 crisis: a preliminary view, “NBER Working Paper Series”, 27017, pp. 1–13, https://doi.org/10.3386/w27017 | en |
dc.references | Corti, F., Ounnas, A., Ruiz De La Ossa, T. (2023), Job retention schemes between the Great Recession and the COVID–19 crises Does the institutional design affect the take up? An EU–27 cross‑country comparison, CEPS In‑Depth Analysis, Brussels. | en |
dc.references | D’Amuri, F., Philippis, M., Guglielminetti, E., Lo Bello, S. (2022), Slack and prices during Covid–19: Accounting for labor market participation, “Labour Economics”, 75, 102129, https://doi.org/10.1016/j.labeco.2022.102129 | en |
dc.references | Dagsvik, J.K., Kornstad, T., Skjerpen, T. (2013), Labor force participation and the discouraged worker effect, “Empirical Economics”, 45 (1), pp. 401–433, https://doi.org/10.1007/s00181-012-0598-9 | en |
dc.references | Dmytrów, K., Bieszk‑Stolorz, B. (2021), Comparison of changes in the labour markets of post‑communist countries with other EU member states, “Equilibrium. Quarterly Journal of Economics and Economic Policy”, 16 (4), pp. 741–764, https://doi.org/10.24136/eq.2021.027 | en |
dc.references | Donayre, L., Panovska, I. (2018), U.S. wage growth and nonlinearities: The roles of inflation and unemployment, “Economic Modelling”, 68, pp. 273–292, https://doi.org/10.1016/j.econmod.2017.07.019 | en |
dc.references | Duarte V. (2020), The Portuguese labour market in times of the pandemic, Caixa Bank Research, https://www.caixabankresearch.com/en/economics‑markets/labour‑market‑demographics/portuguese‑labour‑market‑times‑pandemic (accessed: 8.01.2024). | en |
dc.references | Ebbinghaus, B., Lehner, L. (2022), Cui bono – business or labour? Job retention policies during the COVID–19 pandemic in Europe, “Transfer: European Review of Labour and Research”, 28 (1), pp. 47–64, https://doi.org/10.1177/10242589221079151 | en |
dc.references | Ellul, R. (2019), Labour Market Slack, “Central Bank of Malta, Quarterly Review”, 1, pp. 37–41. | en |
dc.references | Ens, E., Savoie‑Chabot, L., See, K., Wee, S.L. (2021), Assessing labour market slack for monetary policy, “Bank of Canada Staff Discussion Paper”, 2021–15. | en |
dc.references | Eures (2022), Labour market information: Cyprus, https://eures.ec.europa.eu/living‑and‑working/labour‑market‑information/labour‑market‑information‑cyprus_en (accessed: 8.01.2024). | en |
dc.references | Eurostat (2021), Unemployment rate (%) – monthly data, https://ec.europa.eu/eurostat/databrowser/view/ei_lmhr_m/default/table?lang=en (accessed: 10.01.2024). | en |
dc.references | Faberman, R.J., Mueller, A.I., Şahin, A., Topa, G. (2020), The Shadow Margins of Labor Market Slack, “Journal of Money, Credit and Banking”, 52(S2), pp. 355-391, https://doi.org/10.1111/jmcb.12756 | en |
dc.references | Fana, M., Torrejón Pérez, S., Fernández‑Macías, E. (2020), Employment impact of Covid–19 crisis: from short term effects to long terms prospects, “Journal of Industrial and Business Economics”, 47, pp. 391–410, https://doi.org/10.1007/s40812-020-00168-5 | en |
dc.references | Fana, M., Tolan, S., Torrejón Pérez, S., Urzi Brancati, M.C., Fernández‑Macías, E. (2020), The COVID confinement measures and EU labour markets, Publications Office of the European Union, Luxembourg. | en |
dc.references | Fiaschi, D., Tealdi, C. (2022), Young people between education and the labour market during the COVID–19 pandemic in Italy, “International Journal of Manpower”, 43, pp. 1719–1757, https://doi.org/10.1108/IJM-06-2021-0352 | en |
dc.references | Fontaine, I. (2016), French Unemployment Dynamics: A “Three‑State” Approach, “Revue d’économie politique”, 126 (5), pp. 835–869, https://doi.org/10.3917/redp.265.0835 | en |
dc.references | Forsythe, E., Kahn, L.B., Lange, F., Wiczer, D.G. (2020), Searching, recalls, and tightness: an interim report on the COVID labor market, “NBER Working Papers”, 28083, pp. 1–52, https://doi.org/10.3386/w28083 | en |
dc.references | Fuente, A. de la (2011), Population and social conditions, “Statistics in Focus, Eurostat”, 57, pp. 1–8. | en |
dc.references | Gajewski, D., Karwat, P., Olczyk, A., Werner, A., Wierzbicki, J. (2021), Reakcja polskiej polityki podatkowej na kryzys związany z pandemią na tle państw Grupy Wyszehradzkiej, [in:] A. Chłoń‑Domińczak, R. Sobiecki, M. Strojny, B. Majewski (eds.), Raport SGH I Forum Ekonomicznego, Szkoła Główna Handlowa w Warszawie, Warszawa, pp. 20–21. | en |
dc.references | Galasso, V., Foucault, M. (2020), Working during COVID–19: Cross‑country evidence from real‑time survey data, “OECD Social, Employment and Migration Working Papers”, 246, OECD Publishing, Paris, https://doi.org/10.1787/34a2c306‑en | en |
dc.references | Gallant, J., Kroft, K., Lange, F., Notowidigdo, M. (2020), Temporary unemployment and labor market dynamics during the COVID–19 recession, “NBER Working Paper Series”, 27924, pp. 1–45, https://doi.org/10.3386/w27924 | en |
dc.references | Gros, D., Ounnas, A. (2021), Labour market responses to the Covid–19 crisis in the United States and Europe, “CEPS Working Document”, 2021–01. | en |
dc.references | Hartigan, J.A. (1975), Clustering algorithms, Wiley, New York. | en |
dc.references | Hensvik, L., Le Barbanchon, T., Rathelot, R. (2021), Job search during the COVID–19 crisis, “Journal of Public Economics”, 194, pp. 1–10, https://doi.org/10.1016/j.jpubeco.2020.104349 | en |
dc.references | Hurley, J., Patrini, V. (2017), Estimating labour market slack in the European Union, Eurofound, Publications Office of the European Union, Luxembourg. | en |
dc.references | International Labour Organisation (2020), COVID–19: Public employment services and labour market policy responses, Policy Brief, https://www.ilo.org/publications/covid-19‑public‑employment‑services‑and‑labour‑market‑policy‑responses (accessed: 10.01.2024). | en |
dc.references | Komlos, J. (2019), Trends and Cycles in U.S. Labor‑Market Slack, 1994–2019, “Applied Economics Quarterly”, 65 (3), pp. 209–235, https://doi.org/10.3790/aeq.65.3.209 | en |
dc.references | Lam, W.R., Solovyeva, A. (2023), How Effective were Job‑Retention Schemes during the COVID–19 Pandemic? A Microsimulation Approach for European Countries, “IMF Working Paper”, WP/23/3, International Monetary Fund, Washington, https://doi.org/10.5089/9798400229985.001 | en |
dc.references | Lee, S., Schmidt‑Klau, D., Verick, S. (2020), The Labour Market Impacts of the COVID–19: A Global Perspective, “The Indian Journal of Labour Economics”, 63 (1), pp. 11–15, https://doi.org/10.1007/s41027-020-00249‑y | en |
dc.references | Li, Z., Farmanesh, P., Kirikkaleli, D., Itani, R. (2022), A comparative analysis of COVID–19 and global financial crises: evidence from US economy, “Economic Research – Ekonomska Istraživanja”, 35 (1), pp. 2427–2441, https://doi.org/10.1080/1331677X.2021.1952640 | en |
dc.references | MacKay, R., Davies, L. (2008), Unemployment, Permanent Sickness, and Nonwork in the United Kingdom, “Environment and Planning A”, 40 (2), pp. 464–481, https://doi.org/10.1068/a39155 | en |
dc.references | MacQueen, J.B. (1967), Some methods for classification and analysis of multivariate observations. Proceedings of 5‑th Berkeley symposium on mathematical statistics and probability, University of California Press, Berkeley. | en |
dc.references | Martins, F., Seward, D. (2020), The measurement of labour market slack: an empirical analysis for Portugal, “Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies”, April, pp. 53–74. | en |
dc.references | Merkl, C., Weber, E. (2020), Rescuing the labour market in times of COVID–19: Don’t forget new hires!, https://cepr.org/voxeu/columns/rescuing‑labour‑market‑times‑covid-19‑dont‑forget‑new‑hires (accessed: 10.01.2024). | en |
dc.references | Müller, T., Schulten, T., Drahokoupil, J. (2022), Job retention schemes in Europe during the COVID–19 pandemic – different shapes and sizes and the role of collective bargaining, “Transfer: European Review of Labour and Research”, 28, pp. 247–265, https://doi.org/10.1177/10242589221089808 | en |
dc.references | Palomino, J.C., Rodríguez, J.G., Sebastián, R. (2020), Wage Inequality and Poverty Effects of Lockdown and Social Distancing in Europe, “INET Oxford Working Paper”, 2020–13, https://doi.org/10.2139/ssrn.3615615 | en |
dc.references | Pannenberg, M., Schwarze, J. (1998), Labor market slack and the wage curve, “Economics Letters”, 58 (3), pp. 351–354, https://doi.org/10.1016/S0165-1765(98)00008-1 | en |
dc.references | Pouliakas, K., Branka, J. (2020), EU jobs at highest risk of COVID–19 social distancing: is the pandemic exacerbating the labour market divide?, “Cedefop – Working Paper Series”, Publications Office of the European Union, Luxembourg, https://doi.org/10.2801/968483 | en |
dc.references | Rollnik‑Sadowska, E., Dąbrowska, E. (2018), Cluster analysis of effectiveness of labour market policy in the European Union, “Oeconomia Copernicana”, 9 (1), pp. 143–158, https://doi.org/10.24136/oc.2018.008 | en |
dc.references | Smith, C. (2020), Understanding Supply and Demand Shocks amid Coronavirus, Federal Reserve Bank of St Louis, https://www.stlouisfed.org/open‑vault/2020/march/supply‑demand‑shocks‑coronavirus (accessed: 10.01.2024). | en |
dc.references | Sologon, D.M., O’Donoghue, C., Kyzyma, I., Li, J., Linden, J., Wagener, R. (2022), The COVID–19 resilience of a continental welfare regime – nowcasting the distributional impact of the crisis, “The Journal of Economic Inequality”, 20, pp. 777–809, https://doi.org/10.1007/s10888-021-09524-4 | en |
dc.references | Statistics Poland (2020), Labour force survey in Poland II quarter 2020, Warsaw, https://stat.gov.pl/en/topics/labour‑market/working‑unemployed‑economically‑inactive‑by‑lfs/labour‑force‑survey‑in‑poland‑ii‑quarter-2020,2,38.html (accessed: 10.01.2024). | en |
dc.references | Stefaniec, A., Brazil, W., Whitney, W., Caulfield, B. (2022), Desire to work from home: Results of an Irish study, “Journal of Transport Geography”, 104, 103416, https://doi.org/10.1016/j.jtrangeo.2022.103416 | en |
dc.references | Szörfi, B., Tóth, M. (2018), Measures of slack in the euro area, “Economic Bulletin Boxes, European Central Bank”, 3, https://www.ecb.europa.eu/pub/pdf/other/ecb.ebbox201803_03.en.pdf (accessed: 10.01.2024). | en |
dc.references | Szustak, G., Gradoń, W., Szewczyk, Ł. (2021), Household Financial Situation during the COVID–19 Pandemic with Particular Emphasis on Savings – An Evidence from Poland Compared to Other CEE States, “Risks”, 9 (9), 166, https://doi.org/10.3390/risks9090166 | en |
dc.references | Tryon, R.C. (1939), Cluster Analysis, Edwards Brothers, Ann Abor. | en |
dc.references | Verick, S., Schmidt‑Klau, D., Lee, S. (2022), Is this time really different? How the impact of the COVID–19 crisis on labour markets contrasts with that of the global financial crisis of 2008–09, “International Labour Review”, 161 (1), pp. 125–148, https://doi.org/10.1111/ilr.12230 | en |
dc.references | Ward, J.H. (1963), Hierarchical Grouping to Optimize an Objective Function, “Journal of the American Statistical Association”, 58 (301), pp. 236–244, https://doi.org/10.1080/01621459.1963.10500845 | en |
dc.references | Zinecker, M., Doubravsky, K., Balcerzak, A.P., Pietrzak, M.B., Dohnal, M. (2021), The Covid–19 disease and policy response to mitigate the economic impact in the EU, “Technological and Economic Development of Economy”, 27 (3), pp. 742–762, https://doi.org/10.3846/tede.2021.14585 | en |
dc.contributor.authorEmail | Rollnik‑Sadowska, Ewa - e.rollnik@pb.edu.pl | |
dc.contributor.authorEmail | Cichowicz, Ewa - ewa.cichowicz@sgh.waw.pl | |
dc.contributor.authorEmail | Dębkowska, Katarzyna - k.debkowska@uwb.edu.pl | |
dc.identifier.doi | 10.18778/1508-2008.27.33 | |
dc.relation.volume | 27 | |