IDEAS home Printed from https://ideas.repec.org/b/sav/ebooks/003.html
   My bibliography  Save this book

Labour Market in Slovakia 2017+

Author

Listed:

Abstract

This book represents another volume of the series of annual reports on the situation at the Slovak labour market resulting from a research project funded by the Slovak Research and Development Agency. The main goals of this report are: (i) to review the recent labour market developments, (ii) to provide short-term and mid-term forecasts of the labour market development, and (iii) to examine the causes of selected structural problems of the Slovak labour market. The report is targeting the key stakeholders in the field of labour market policies, research community and general public. The current volume is published in English language complemented by short summaries in Slovak for each chapter.

Suggested Citation

  • Martina Lubyová & Miroslav Štefánik & Pavol Baboš & Daniel Gerbery & Veronika Hvozdíková & Katarína Karasová & Ivan Lichner & Tomáš Miklošovic & Marek Radvanský & Eva Rublíková & Ivana Studená, . "Labour Market in Slovakia 2017+," Books, Institute of Economic Research, Slovak Academy of Sciences, edition 1, number 003.
  • Handle: RePEc:sav:ebooks:003
    as

    Download full text from publisher

    File URL: http://ekonom.sav.sk/uploads/journals/358_lubyova_stefanik_labour_market_in_slovakia_2017.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lechner, Michael & Scioch, Patrycja & Wunsch, Conny, 2013. "Do Firms Benefit from Active Labour Market Policies?," Working papers 2013/11, Faculty of Business and Economics - University of Basel.
    2. Marco Caliendo & Reinhard Hujer, 2006. "The microeconometric estimation of treatment effects—An overview," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 90(1), pages 199-215, March.
    3. Burgess, Simon & Lane, Julia & Stevens, David, 2000. "Job Flows, Worker Flows, and Churning," Journal of Labor Economics, University of Chicago Press, vol. 18(3), pages 473-502, July.
    4. Gerald Hughes, 1993. "Projecting the Occupational Structure of Employment in OECD Countries," OECD Labour Market and Social Policy Occasional Papers 10, OECD Publishing.
    5. Christopher A. Pissarides & Barbara Petrongolo, 2001. "Looking into the Black Box: A Survey of the Matching Function," Journal of Economic Literature, American Economic Association, vol. 39(2), pages 390-431, June.
    6. Kluve, Jochen & Schneider, Hilmar & Uhlendorff, Arne & Zhao, Zhong, 2007. "Evaluating Continuous Training Programs Using the Generalized Propensity Score," IZA Discussion Papers 3255, Institute of Labor Economics (IZA).
    7. Cattaneo, Matias D., 2010. "Efficient semiparametric estimation of multi-valued treatment effects under ignorability," Journal of Econometrics, Elsevier, vol. 155(2), pages 138-154, April.
    8. Cerami, Alfio, 2008. "Central Europe in transition: emerging models of welfare and social assistance," MPRA Paper 8377, University Library of Munich, Germany.
    9. Lechner, Michael, 1999. "Identification and Estimation of Causal Effects of Multiple Treatments Under the Conditional Independence Assumption," IZA Discussion Papers 91, Institute of Labor Economics (IZA).
    10. Figari, Francesco & Paulus, Alari & Sutherland, Holly & Mantovani, Daniela & Lelkes, Orsolya & Levy, Horacio & Lietz, Christine, 2008. "Improving the capacity and usability of EUROMOD: final report," EUROMOD Working Papers EM4/08, EUROMOD at the Institute for Social and Economic Research.
    11. Hans-Jürgen Andreß & Henning Lohmann (ed.), 2008. "The Working Poor in Europe," Books, Edward Elgar Publishing, number 13060.
    12. John Martin, 2015. "Activation and active labour market policies in OECD countries: stylised facts and evidence on their effectiveness," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-29, December.
    13. Carlos A. Flores, 2007. "Estimation of Dose-Response Functions and Optimal Doses with a Continuous Treatment," Working Papers 0707, University of Miami, Department of Economics.
    14. Bea Cantillon & Diego Collado & Natascha Van Mechelen, 2015. "The end of decent social protection for the poor? The dynamics of low wages, minimum income packages and median household incomes," ImPRovE Working Papers 15/03, Herman Deleeck Centre for Social Policy, University of Antwerp.
    15. Michela Bia & Carlos A. Flores & Alfonso Flores-Lagunes & Alessandra Mattei, 2014. "A Stata package for the application of semiparametric estimators of dose–response functions," Stata Journal, StataCorp LP, vol. 14(3), pages 580-604, September.
    16. Carlos A. Flores & Alfonso Flores-Lagunes & Arturo Gonzalez & Todd C. Neumann, 2012. "Estimating the Effects of Length of Exposure to Instruction in a Training Program: The Case of Job Corps," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 153-171, February.
    17. David Card & Jochen Kluve & Andrea Weber, 2018. "What Works? A Meta Analysis of Recent Active Labor Market Program Evaluations," Journal of the European Economic Association, European Economic Association, vol. 16(3), pages 894-931.
    18. Willems, E. J. T. A. & de Grip, A., 1993. "Forecasting replacement demand by occupation and education," International Journal of Forecasting, Elsevier, vol. 9(2), pages 173-185, August.
    19. Bea Cantillon & Diego Collado & Natascha Van Mechelen, 2015. "The end of decent social protection for the poor? The dynamics of low wages, minimum income packages and median household incomes," Working Papers 1501, Herman Deleeck Centre for Social Policy, University of Antwerp.
    20. Amable, Bruno, 2003. "The Diversity of Modern Capitalism," OUP Catalogue, Oxford University Press, number 9780199261147.
    21. Holly Sutherland & Francesco Figari, 2013. "EUROMOD: the European Union tax-benefit microsimulation model," International Journal of Microsimulation, International Microsimulation Association, vol. 1(6), pages 4-26.
    22. repec:aia:ginidp:dp51 is not listed on IDEAS
    23. Greet De Vil & Gijs Dekkers & Raphael Desmet, 2010. "Working Paper 10-10 - The long-term adequacy of the Belgian public pension system: An analysis based on the MIDAS model," Working Papers 1010, Federal Planning Bureau, Belgium.
    24. Robert Breunig & Joseph Mercante, 2010. "The Accuracy of Predicted Wages of the Non‐Employed and Implications for Policy Simulations from Structural Labour Supply Models," The Economic Record, The Economic Society of Australia, vol. 86(272), pages 49-70, March.
    25. Richard Blundell & Monica Costa Dias, 2000. "Evaluation methods for non-experimental data," Fiscal Studies, Institute for Fiscal Studies, vol. 21(4), pages 427-468, January.
    26. Olivier Jean Blanchard & Peter A. Diamond, 1989. "The Aggregate Matching Function," NBER Working Papers 3175, National Bureau of Economic Research, Inc.
    27. Decaluwe, Bernard & Martens, Andre, 1988. "CGE modeling and developing economies: A concise empirical survey of 73 applications to 26 countries," Journal of Policy Modeling, Elsevier, vol. 10(4), pages 529-568.
    28. Neugart, Michael & Schömann, K., 2002. "Forecasting Labour Markets in OECD Countries – Measuring and Tackling Mismatches," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 57334, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    29. Harvey, A C, 1985. "Trends and Cycles in Macroeconomic Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 3(3), pages 216-227, June.
    30. Scott McDonald & Sherman Robinson & Karen Thierfelder, 2005. "A SAM Based Global CGE Model using GTAP Data January 2005," Working Papers 2005001, The University of Sheffield, Department of Economics, revised Jan 2005.
    31. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
    32. Besharov, Douglas J. & Couch, Kenneth A. (ed.), 2012. "Counting the Poor: New Thinking About European Poverty Measures and Lessons for the United States," OUP Catalogue, Oxford University Press, number 9780199860586.
    33. Jochen Kluve & Hilmar Schneider & Arne Uhlendorff & Zhong Zhao, 2012. "Evaluating continuous training programmes by using the generalized propensity score," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(2), pages 587-617, April.
    34. Ive Marx & Brian Nolan, 2012. "GINI DP 51: In-Work Poverty," GINI Discussion Papers 51, AIAS, Amsterdam Institute for Advanced Labour Studies.
    35. Jochen Kluve & Hilmar Schneider & Arne Uhlendorff & Zhong Zhao, 2012. "Evaluating continuous training programmes by using the generalized propensity score," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(2), pages 587-617, April.
    36. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    37. Burda, Michael C & Lubyová, Martina, 1995. "The Impact of Active Labour Market Policies: A Closer Look at the Czech and Slovak Republics," CEPR Discussion Papers 1102, C.E.P.R. Discussion Papers.
    38. James A Giesecke & John R Madden, 2007. "The Sydney Olympics, seven years on: an ex-post dynamic CGE assessment," Centre of Policy Studies/IMPACT Centre Working Papers g-168, Victoria University, Centre of Policy Studies/IMPACT Centre.
    39. Jonathan Haughton & Shahidur R. Khandker, 2009. "Handbook on Poverty and Inequality," World Bank Publications - Books, The World Bank Group, number 11985.
    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. Miroslav Štefánik & Katarína Karasová & Ivana Studená, 2020. "Can supporting workplace insertions of unemployed recent graduates improve their long-term employability?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 47(2), pages 245-265, May.
    2. Carlos A. Flores & Oscar A. Mitnik, 2009. "Evaluating Nonexperimental Estimators for Multiple Treatments: Evidence from Experimental Data," Working Papers 2010-10, University of Miami, Department of Economics.
    3. Ying-Ying Lee, 2014. "Partial Mean Processes with Generated Regressors: Continuous Treatment Effects and Nonseparable Models," Economics Series Working Papers 706, University of Oxford, Department of Economics.
    4. Ying-Ying Lee, 2018. "Partial Mean Processes with Generated Regressors: Continuous Treatment Effects and Nonseparable Models," Papers 1811.00157, arXiv.org.
    5. Roberto ESPOSTI, 2014. "To match, not to match, how to match: Estimating the farm-level impact of the CAP-first pillar reform (or: How to Apply Treatment-Effect Econometrics when the Real World is;a Mess)," Working Papers 403, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    6. Finn McGuire & Noemi Kreif & Peter C. Smith, 2021. "The effect of distance on maternal institutional delivery choice: Evidence from Malawi," Health Economics, John Wiley & Sons, Ltd., vol. 30(9), pages 2144-2167, September.
    7. Flores-Lagunes, Alfonso & Gonzalez, Arturo & Neumann, Todd C., 2007. "Estimating the Effects of Length of Exposure to a Training Program: The Case of Job Corps," IZA Discussion Papers 2846, Institute of Labor Economics (IZA).
    8. Kyle Colangelo & Ying-Ying Lee, 2019. "Double debiased machine learning nonparametric inference with continuous treatments," CeMMAP working papers CWP72/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. Kyle Colangelo & Ying-Ying Lee, 2019. "Double debiased machine learning nonparametric inference with continuous treatments," CeMMAP working papers CWP54/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. Chung Choe & Alfonso Flores-Lagunes & Sang-Jun Lee, 2015. "Do dropouts with longer training exposure benefit from training programs? Korean evidence employing methods for continuous treatments," Empirical Economics, Springer, vol. 48(2), pages 849-881, March.
    11. Ida D'Attoma & Silvia Pacei, 2018. "Evaluating the Effects of Product Innovation on the Performance of European Firms by Using the Generalised Propensity Score," German Economic Review, Verein für Socialpolitik, vol. 19(1), pages 94-112, February.
    12. Martin Huber & Yu‐Chin Hsu & Ying‐Ying Lee & Layal Lettry, 2020. "Direct and indirect effects of continuous treatments based on generalized propensity score weighting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 814-840, November.
    13. Carina Steckenleiter & Michael Lechner & Tim Pawlowski & Ute Schüttoff, 2023. "Do local expenditures on sports facilities affect sports participation?," Economic Inquiry, Western Economic Association International, vol. 61(4), pages 1103-1128, October.
    14. Steckenleiter, Carina & Lechner, Michael & Pawlowski, Tim & Schüttoff, Ute, 2019. "Do local public expenditures on sports facilities affect sports participation in Germany?," Economics Working Paper Series 1905, University of St. Gallen, School of Economics and Political Science.
    15. Kyle Colangelo & Ying-Ying Lee, 2020. "Double Debiased Machine Learning Nonparametric Inference with Continuous Treatments," Papers 2004.03036, arXiv.org, revised Sep 2023.
    16. Vera Chiodi & Gabriel Montes‐Rojas, 2022. "Mentoring as a dose treatment: Frequency matters—Evidence from a French mentoring programme," LABOUR, CEIS, vol. 36(2), pages 145-166, June.
    17. Stephan, Gesine & Pahnke, André, 2008. "The Relative Effectiveness of Selected Active Labour Market Programmes and the Common Support Problem," IZA Discussion Papers 3767, Institute of Labor Economics (IZA).
    18. Kluve, Jochen & Lehmann, Hartmut & Schmidt, Christoph M., 2008. "Disentangling Treatment Effects of Active Labor Market Policies: The Role of Labor Force Status Sequences," Labour Economics, Elsevier, vol. 15(6), pages 1270-1295, December.
    19. Michela Bia & Alessandra Mattei, 2012. "Assessing the effect of the amount of financial aids to Piedmont firms using the generalized propensity score," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 21(4), pages 485-516, November.
    20. Ulf Rinne & Arne Uhlendorff & Zhong Zhao, 2013. "Vouchers and caseworkers in training programs for the unemployed," Empirical Economics, Springer, vol. 45(3), pages 1089-1127, December.

    More about this item

    Keywords

    labour supply; labour demand; replacement demand; Beveridge curve; impact evaluation microsimulation; in-work poverty;
    All these keywords.

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor
    • J6 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling

    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:sav:ebooks:003. 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: Peter Renac (email available below). General contact details of provider: https://edirc.repec.org/data/eusavsk.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.