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The structure of the labour market, telecommuting, and optimal peak period congestion tolls: A numerical optimisation model

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  • DE BORGER, Bruno
  • WUYTS, Bart

Abstract

This paper develops a numerical optimisation model to study optimal labour and peak-period congestion taxes under different assumptions on the structure of the labour market. We consider both a competitive labour market and various wage bargaining models, in which wages are determined via negotiations between firms and labour unions. All models include commuting and non-commuting transport, and they allow for telecommuting. The models are numerically implemented using Belgian data. We find that wage bargaining models may imply higher or lower congestion tolls on peak period car traffic compared to competitive labour markets, depending on the response of unions to transport issues and the composition of the traffic flow. If unions care about the effect of congestion and congestion tolls on their members’ well-being, we find the optimal congestion toll for the wage bargaining model to be 15%-20% lower than under competitive labour market conditions. However, if unions do not care about their members’ transport problems when negotiating about wages and employment, then the optimal congestion tax is up to 50% higher under bargaining than under competition. We further find that the optimal tax structure results in substantially more telecommuting for all labour market structures considered. Finally, improving the efficiency of telecommuting results in a considerable reduction in optimal congestion tolls.

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  • DE BORGER, Bruno & WUYTS, Bart, 2010. "The structure of the labour market, telecommuting, and optimal peak period congestion tolls: A numerical optimisation model," Working Papers 2010013, University of Antwerp, Faculty of Business and Economics.
  • Handle: RePEc:ant:wpaper:2010013
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    Cited by:

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    2. Hirte, Georg & Tscharaktschiew, Stefan, 2020. "The role of labor-supply margins in shaping optimal transport taxes," Economics of Transportation, Elsevier, vol. 22(C).
    3. Tscharaktschiew, Stefan, 2014. "Shedding light on the appropriateness of the (high) gasoline tax level in Germany," Economics of Transportation, Elsevier, vol. 3(3), pages 189-210.
    4. Antonio Russo, 2015. "Pricing of Transport Networks, Redistribution, and Optimal Taxation," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 17(5), pages 605-640, October.
    5. Hörcher, Daniel & De Borger, Bruno & Seifu, Woubit & Graham, Daniel J., 2020. "Public transport provision under agglomeration economies," Regional Science and Urban Economics, Elsevier, vol. 81(C).
    6. Georg Hirte & Stefan Tscharaktschiew, 2015. "Why not to choose the most convenient labor supply model? The impact of labor supply modeling on policy evaluation," ERSA conference papers ersa15p303, European Regional Science Association.
    7. Hirte, Georg & Laes, Renée, 2022. "Working from self-driving cars," CEPIE Working Papers 01/22, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    8. Andrew Hook & Victor Court & Benjamin K Sovacool & Steven Sorrell, 2020. "A Systematic Review of the Energy and Climate Impacts of Teleworking," Working Papers hal-03192905, HAL.

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    More about this item

    Keywords

    Congestion taxes; Competitive labour markets; Wage bargaining; Telecommuting;
    All these keywords.

    JEL classification:

    • D62 - Microeconomics - - Welfare Economics - - - Externalities
    • H21 - Public Economics - - Taxation, Subsidies, and Revenue - - - Efficiency; Optimal Taxation
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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