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Commuter flow predictions in POA: Evaluation study

Author

Listed:
  • Verkade, Emiel
  • Bakens, Jessie

    (RS: GSBE other - not theme-related research, ROA / Dynamics of the labour market)

Abstract

The Labour Market Forecasts (POA) by ROA are produced every two years. The goal of these forecasts is to offer insights into the medium-term (6 years ahead) prospective of the labour market, and for this in turn to aid policy-makers, students and other stake-holders in their decision-making. A key in-dicator resulting from POA is the indicator of future labour market position (ITA). The ITA indicates labour market prospects by field of study as a ratio of the supply of labour over the demand for labour. The ITA hereby indicates the expected development in labour market tightness by field of study.

Suggested Citation

  • Verkade, Emiel & Bakens, Jessie, 2020. "Commuter flow predictions in POA: Evaluation study," ROA Technical Report 005, Maastricht University, Research Centre for Education and the Labour Market (ROA).
  • Handle: RePEc:unm:umarot:2020005
    DOI: 10.26481/umarot.2020005
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    References listed on IDEAS

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    1. Rainer Winkelmann, 2008. "Econometric Analysis of Count Data," Springer Books, Springer, edition 0, number 978-3-540-78389-3, September.
    2. James E. Anderson, 2011. "The Gravity Model," Annual Review of Economics, Annual Reviews, vol. 3(1), pages 133-160, September.
    3. James P. LeSage & Christine Thomas-Agnan, 2015. "Interpreting Spatial Econometric Origin-Destination Flow Models," Journal of Regional Science, Wiley Blackwell, vol. 55(2), pages 188-208, March.
    4. Silva João M. C. Santos & Tenreyro Silvana & Windmeijer Frank, 2015. "Testing Competing Models for Non-negative Data with Many Zeros," Journal of Econometric Methods, De Gruyter, vol. 4(1), pages 1-18, January.
    5. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
    6. Wilson, Paul, 2015. "The misuse of the Vuong test for non-nested models to test for zero-inflation," Economics Letters, Elsevier, vol. 127(C), pages 51-53.
    7. Bruce A. Desmarais & Jeffrey J. Harden, 2013. "Testing for zero inflation in count models: Bias correction for the Vuong test," Stata Journal, StataCorp LP, vol. 13(4), pages 810-835, December.
    8. James P. LeSage & R. Kelley Pace, 2008. "Spatial Econometric Modeling Of Origin‐Destination Flows," Journal of Regional Science, Wiley Blackwell, vol. 48(5), pages 941-967, December.
    9. Stefan P.T. Groot & Henri L.F. de Groot & Paolo Veneri, 2012. "The Educational Bias in Commuting Patterns: Micro-Evidence for the Netherlands," Tinbergen Institute Discussion Papers 12-080/3, Tinbergen Institute.
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    Cited by:

    1. Sijmons, David & Bakens, Jessie, 2020. "Regional labour market structures," ROA Technical Report 004, Maastricht University, Research Centre for Education and the Labour Market (ROA).

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