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

Author

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  • 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
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    References listed on IDEAS

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    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. Gomes, Pedro, 2012. "Labour market flows: Facts from the United Kingdom," Labour Economics, Elsevier, vol. 19(2), pages 165-175.
    3. 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.
    4. 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..
    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. 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.
    7. 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.
    8. 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.
    9. 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.
    10. repec:hal:spmain:info:hdl:2441/8921 is not listed on IDEAS
    11. repec:hal:wpspec:info:hdl:2441/8921 is not listed on IDEAS
    12. 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.
    13. 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].
    14. repec:zbw:rwirep:0499 is not listed on IDEAS
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    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.

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    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

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