IDEAS home Printed from https://ideas.repec.org/p/wiw/wus005/4935.html
   My bibliography  Save this paper

A Representative Matched Cross-section Survey for Austria - Measuring Worker Flow Dynamics with the Austrian Labour Force Survey

Author

Listed:
  • Schoiswohl, Florian
  • Wüger, Michael

Abstract

While worker flow analysis has grown in importance in many countries, Austria still lacks a specific longitudinal dataset as a prerequisite to perform similar analyses. For this reason, this article provides a coherent procedure to construct a longitudinal dataset based on the rotational panel structure of the Austrian quarterly LFS from 2004 to 2014. The procedure, which is available for researcher, is grounded on the discussion of several related and important issues inherent in constructing this sort of longitudinal data: First, it deals with the construction of the quarterly-matched dataset and the quality-of-measurement of several labour market variables. Second, the paper analyses non-response as a sample selection process, and shows that the selected (quarterly-matched) dataset causes biased estimates of worker flows. Third, the article proposes an iterative raking procedure to obtain survey weights as a bias-correcting device for any future analysis. Based on these adjustments, we present unbiased time-series of worker flows and transition rates, and conclude that the employment-unemployment margin is highly sensitive to economic shocks and that the Austrian labour market is additionally shaped by large movements within the participation margin. (authors' abstract)

Suggested Citation

  • Schoiswohl, Florian & Wüger, Michael, 2016. "A Representative Matched Cross-section Survey for Austria - Measuring Worker Flow Dynamics with the Austrian Labour Force Survey," Department of Economics Working Paper Series 223, WU Vienna University of Economics and Business.
    • Handle: RePEc:wiw:wus005:4935
    as

    Download full text from publisher

    File URL: https://epub.wu.ac.at/4935/
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Ronald Bachmann & Peggy Bechara & Anica Kramer & Sylvi Rzepka, 2015. "Labour market dynamics and worker heterogeneity during the Great Recession – Evidence from Europe," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-29, December.
    2. Pedro Gomes, 2009. "Labour market flows: facts from the United Kingdom," Bank of England working papers 367, Bank of England.
    3. Gomes, Pedro, 2012. "Labour market flows: Facts from the United Kingdom," Labour Economics, Elsevier, vol. 19(2), pages 165-175.
    4. Sergi Jiménez-Martín & Franco Peracchi, 2002. "Sample attrition and labor force dynamics: Evidence from the Spanish labor force survey," Spanish Economic Review, Springer;Spanish Economic Association, vol. 4(2), pages 79-102.
    5. Van den Berg, G J & Lindeboom, M & Ridder, G, 1994. "Attrition in Longitudinal Panel Data and the Empirical Analysis of Dynamic Labour Market Behaviour," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 9(4), pages 421-435, Oct.-Dec..
    6. 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.
    7. Alfred Stiglbauer & Florian Stahl & Rudolf Winter-Ebmer & Josef Zweimüller, 2003. "Job Creation and Job Destruction in a Regulated Labor Market: The Case of Austria," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 30(2), pages 127-148, June.
    8. repec:spo:wpecon:info:hdl:2441/8921 is not listed on IDEAS
    9. Vladislav Flek & Martina Mysíková, 2015. "Uneployment Dynamics in Central Europe: A Labour Flow Approach," Prague Economic Papers, Prague University of Economics and Business, vol. 2015(1), pages 73-87.
    10. Peracchi, Franco & Welch, Finis, 1995. "How representative are matched cross-sections? Evidence from the Current Population Survey," Journal of Econometrics, Elsevier, vol. 68(1), pages 153-179, July.
    11. Pietro Garibaldi & Etienne Wasmer, 2005. "Equilibrium Search Unemployment, Endogenous Participation, And Labor Market Flows," Journal of the European Economic Association, MIT Press, vol. 3(4), pages 851-882, June.
    12. repec:hal:spmain:info:hdl:2441/8921 is not listed on IDEAS
    13. Ronald Bachmann & Peggy Bechara & Anica Kramer & Sylvi Rzepka, 2014. "Labour Market Dynamics and Worker Heterogeneity During the Great Recession – Evidence from Europe," Ruhr Economic Papers 0499, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    14. repec:spo:wpmain:info:hdl:2441/8921 is not listed on IDEAS
    15. repec:hal:wpspec:info:hdl:2441/8921 is not listed on IDEAS
    16. Hausman, Jerry A & Wise, David A, 1979. "Attrition Bias in Experimental and Panel Data: The Gary Income Maintenance Experiment," Econometrica, Econometric Society, vol. 47(2), pages 455-473, March.
    17. Nordmeier, Daniela, 2012. "Worker flows in Germany: Inspecting the time aggregation bias," IAB-Discussion Paper 201212, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    18. repec:zbw:rwirep:0499 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Michael Christl, 2020. "A Beveridge curve decomposition for Austria: did the liberalisation of the Austrian labour market shift the Beveridge curve?," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 54(1), pages 1-15, December.

    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. Carrillo-Tudela, Carlos & Launov, Andrey & Robin, Jean-Marc, 2021. "The fall in german unemployment: A flow analysis," European Economic Review, Elsevier, vol. 132(C).
    2. Matthias S. Hertweck & Oliver Sigrist, 2012. "The Aggregate Effects of the Hartz Reforms in Germany," Working Paper Series of the Department of Economics, University of Konstanz 2012-38, Department of Economics, University of Konstanz.
    3. Naval, Joaquín & Silva, José I. & Vázquez-Grenno, Javier, 2020. "Employment effects of on-the-job human capital acquisition," Labour Economics, Elsevier, vol. 67(C).
    4. Kai Christoffel & James Costain & Gregory de Walque & Keith Kuester & Tobias Linzert & Stephen Millard & Olivier Pierrard, 2009. "Inflation dynamics with labour market matching: assessing alternative specifications," Bank of England working papers 375, Bank of England.
    5. Silva, José I. & Vázquez-Grenno, Javier, 2013. "The ins and outs of unemployment in a two-tier labor market," Labour Economics, Elsevier, vol. 24(C), pages 161-169.
    6. Francesco D'Amuri & Marta De Philippis & Elisa Guglielminetti & Salvatore Lo Bello, 2021. "Natural unemployment and activity rates: flow-based determinants and implications for price dynamics," Questioni di Economia e Finanza (Occasional Papers) 599, Bank of Italy, Economic Research and International Relations Area.
    7. Ronald Bachmann & Peggy Bechara & Anica Kramer & Sylvi Rzepka, 2015. "Labour market dynamics and worker heterogeneity during the Great Recession – Evidence from Europe," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-29, December.
    8. D’Amuri, Francesco & De Philippis, Marta & Guglielminetti, Elisa & Lo Bello, Salvatore, 2022. "Slack and prices during Covid-19: Accounting for labor market participation," Labour Economics, Elsevier, vol. 75(C).
    9. Isabel Cairó & Tomaz Cajner, 2018. "Human Capital and Unemployment Dynamics: Why More Educated Workers Enjoy Greater Employment Stability," Economic Journal, Royal Economic Society, vol. 128(609), pages 652-682, March.
    10. Carlo Pizzinelli & Bradley Speigner, 2017. "Matching efficiency and labour market heterogeneity in the United Kingdom," Bank of England working papers 667, Bank of England.
    11. Silva, José I. & Vázquez-Grenno, Javier, 2013. "The ins and outs of unemployment in a two-tier labor market," Labour Economics, Elsevier, vol. 24(C), pages 161-169.
    12. Jean Flemming, 2018. "Costly Commuting and the Job Ladder," 2018 Meeting Papers 100, Society for Economic Dynamics.
    13. Lisauskaite, Elena, 2022. "Matching Efficiency and Heterogeneous Workers in the UK," IZA Discussion Papers 15610, Institute of Labor Economics (IZA).
    14. Ludmila Fadejeva & Ieva Opmane, 2016. "Internal labour market mobility in 2005–2014 in Latvia: the micro data approach," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 16(2), pages 152-174.
    15. Davide Fiaschi & Cristina Tealdi, 2021. "A general methodology to measure labour market dynamics," Papers 2104.01097, arXiv.org.
    16. Jessen, Jonas & Jessen, Robin & Galecka-Burdziak, Ewa & Góra, Marek & Kluve, Jochen, 2023. "The Micro and Macro Effects of Changes in the Potential Benefit Duration," IZA Discussion Papers 15978, Institute of Labor Economics (IZA).
    17. Mathan Satchi & Jonathan Temple, 2006. "Growth and labour markets in developing countries," CEDI Discussion Paper Series 06-12, Centre for Economic Development and Institutions(CEDI), Brunel University.
    18. Kudoh, Noritaka & Miyamoto, Hiroaki, 2025. "Robots, AI, and unemployment," Journal of Economic Dynamics and Control, Elsevier, vol. 174(C).
    19. Carrillo-Tudela, Carlos & Graber, Michael & Waelde, Klaus, 2018. "Unemployment and vacancy dynamics with imperfect financial markets," Labour Economics, Elsevier, vol. 50(C), pages 128-143.
    20. Michèle Belot & Philipp Kircher & Paul Muller, 2022. "How Wage Announcements Affect Job Search—A Field Experiment," American Economic Journal: Macroeconomics, American Economic Association, vol. 14(4), pages 1-67, October.

    More about this item

    Keywords

    Matched cross-sections; Sample selection; Worker flows; Unemployment dynamics; Austrian labour market;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs

    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:wiw:wus005:4935. 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: WU Library (email available below). General contact details of provider: https://research.wu.ac.at/ .

    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.