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Heterogeneous Households: Monopolistic Capitalists, Entrepreneurs and Employees

  • Conference paper
Distributed Computing and Artificial Intelligence, 11th International Conference

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 290))

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Abstract

What are the implications of an uneven distribution of welfare on optimal stabilisation policy? I build a dynamic stochastic general equilibrium model with household heterogeneity in income and consumption with which to solve optimal fiscal and monetary policy over the business cycle. I include three types of household; capitalists, entrepreneurs and workers, and endogenise the selection process between the latter two.

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Authors and Affiliations

  1. University of Surrey, Guildford, GU2 7XH, UK

    Jonathan Swarbrick

Authors
  1. Jonathan Swarbrick
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Correspondence to Jonathan Swarbrick .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, Osaka Institute of Technology, Osaka, Osaka, Japan

    Sigeru Omatu

  2. Université Libre de Bruxelles, Bruxelles, Belgium

    Hugues Bersini

  3. Dept. of Computing Science and Control Faculty of Science, University of Salamanca, Salamanca, Spain

    Juan M. Corchado

  4. Department of Computing Science and Control, Faculty of Science, University of Salamanca, Salamanca, Spain

    Sara Rodríguez

  5. Faculty of Engineering Management, Poznan University of Technology, Poznan, Poland

    Paweł Pawlewski

  6. Dep. PPEQS, Section of Economics and Quantitative Methods, University of Chieti-Pescara, Pescara, Italy

    Edgardo Bucciarelli

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© 2014 Springer International Publishing Switzerland

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Swarbrick, J. (2014). Heterogeneous Households: Monopolistic Capitalists, Entrepreneurs and Employees. In: Omatu, S., Bersini, H., Corchado, J., Rodríguez, S., Pawlewski, P., Bucciarelli, E. (eds) Distributed Computing and Artificial Intelligence, 11th International Conference. Advances in Intelligent Systems and Computing, vol 290. Springer, Cham. https://doi.org/10.1007/978-3-319-07593-8_7

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  • DOI: https://doi.org/10.1007/978-3-319-07593-8_7

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07592-1

  • Online ISBN: 978-3-319-07593-8

  • eBook Packages: EngineeringEngineering (R0)

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