State-Dependence and Stepping Stone Effects of Low Pay Employment in Australia
Using the HILDA Survey, this study examines state-dependence and stepping stone effects of low pay in Australia. The results show that both state-dependence and stepping stone effects of low pay are present after observed and unobserved individual heterogeneity is accounted for. The results also show that, other things being equal, people who are on low pay are more likely to be in employment in the future than those who are either unemployed or not in the labour force. On the other hand, people on low pay do not appear to be more likely to become jobless in the future than those on higher pay.
|Date of creation:||2013|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: https://mpra.ub.uni-muenchen.de
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Ken Clark & Nikolaos C. Kanellopoulos, 2009.
"Low Pay Persistence in European Countries,"
SOEPpapers on Multidisciplinary Panel Data Research
207, DIW Berlin, The German Socio-Economic Panel (SOEP).
- Hielke Buddelmeyer & Wang-Sheng Lee & Mark Wooden, 2009.
"Low-Paid Employment and Unemployment Dynamics in Australia,"
Melbourne Institute Working Paper Series
wp2009n06, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
- Hielke Buddelmeyer & Wang-Sheng Lee & Mark Wooden, 2010. "Low-Paid Employment and Unemployment Dynamics in Australia," The Economic Record, The Economic Society of Australia, vol. 86(272), pages 28-48, 03.
- Jeffrey M Wooldridge, 2002.
"Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity,"
CeMMAP working papers
CWP18/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54.
- Lorenzo Cappellari & Stephen P. Jenkins, 2008. "Estimating low pay transition probabilities accounting for endogenous selection mechanisms," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 57(2), pages 165-186.
- Arne Uhlendorff, 2006.
"From No Pay to Low Pay and Back Again?: A Multi-State Model of Low Pay Dynamics,"
Discussion Papers of DIW Berlin
648, DIW Berlin, German Institute for Economic Research.
- Uhlendorff, Arne, 2006. "From No Pay to Low Pay and Back Again? A Multi-State Model of Low Pay Dynamics," IZA Discussion Papers 2482, Institute for the Study of Labor (IZA).
- Cappellari, Lorenzo, 2004.
"Earnings Mobility Among Italian Low Paid Workers,"
IZA Discussion Papers
1068, Institute for the Study of Labor (IZA).
- Andreas Knabe & Alexander Plum, 2010.
"Low-Wage Jobs - Stepping Stone or Poverty Trap?,"
SOEPpapers on Multidisciplinary Panel Data Research
337, DIW Berlin, The German Socio-Economic Panel (SOEP).
- Cappellari, Lorenzo, 2002. " Do the 'Working Poor' Stay Poor? An Analysis of Low Pay Transitions in Italy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(2), pages 87-110, May.
- Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
- Daniel Perkins & Rosanna Scuttella, 2008. "Improving Employment Retention and Advancement of Low-Paid Workers," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 11(1), pages 97-114, March.
- Mark Wooden & Simon Freidin & Nicole Watson, 2002. "The Household, Income and Labour Dynamics in Australia (HILDA)Survey: Wave 1," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 35(3), pages 339-348.
- Butler, J S & Moffitt, Robert, 1982. "A Computationally Efficient Quadrature Procedure for the One-Factor Multinomial Probit Model," Econometrica, Econometric Society, vol. 50(3), pages 761-64, May.
- Kenneth Train, 2003.
"Discrete Choice Methods with Simulation,"
Online economics textbooks,
SUNY-Oswego, Department of Economics, number emetr2.
- Stewart, Mark B & Swaffield, Joanna K, 1999.
"Low Pay Dynamics and Transition Probabilities,"
London School of Economics and Political Science, vol. 66(261), pages 23-42, February.
- Stewart, M.B. & Swaffield, J.K., 1997. "Low Pay Dynamics and Transition Probabilities," The Warwick Economics Research Paper Series (TWERPS) 495, University of Warwick, Department of Economics.
- Sloane, P. J. & Theodossiou, I., . "An Econometric Analysis of Low Pay Earnings Mobility," Working Papers 98-05, Department of Economics, University of Aberdeen.
When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:50522. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ekkehart Schlicht)
If references are entirely missing, you can add them using this form.