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Complicated dynamics in a flow model of the labor market

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  • Neugart, Michael

Abstract

We develop a worker flow model with a nonlinear and endogenous outflow rate from unemployment. Inconsistent claims on the output lead to changing inflation rates which feedback on job offers through the real money supply. Via simulations one can show that the nonlinear outflow rate causes asymmetric adjustment of unemployment to the ‘equilibrium rate of unemployment’. In addition, and depending on the parameters, the ‘equilibrium rate of unemployment’ may also become locally unstable. Then, there is a downward sloping Phillips curve but no trade-off between unemployment and inflation in the short run, as there is none in the long run.

Suggested Citation

  • Neugart, Michael, 2004. "Complicated dynamics in a flow model of the labor market," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 57292, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    • Handle: RePEc:dar:wpaper:57292
    Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/57292/
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    Cited by:

    1. He Chen & Jun-ichi Inoue, 2013. "Learning curve for collective behavior of zero-intelligence agents in successive job-hunting processes with a diversity of Jaynes-Shannon's MaxEnt principle," Papers 1309.5053, arXiv.org.
    2. Olmedo, Elena, 2011. "Is there chaos in the Spanish labour market?," Chaos, Solitons & Fractals, Elsevier, vol. 44(12), pages 1045-1053.
    3. Fernandez-Anaya, Guillermo & Alvarez-Ramirez, Jose & Ibarra-Valdez, Carlos, 2007. "On feedback and stable price adjustment mechanisms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 377(1), pages 211-226.
    4. Navarro, Andres & Tapiador, Francisco J., 2019. "RUSEM: A numerical model for policymaking and climate applications," Ecological Economics, Elsevier, vol. 165(C), pages 1-1.
    5. Elena Olmedo, 2014. "Forecasting Spanish Unemployment Using Near Neighbour and Neural Net Techniques," Computational Economics, Springer;Society for Computational Economics, vol. 43(2), pages 183-197, February.

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