Arbeitspapier

Technological paradigms, labour creation and destruction in a multi-sector agent-based model

This paper presents an agent-based model (ABM) of endogenous arrival of technological paradigms and new sectors entailing different patterns of labour creation and destruction, as well as of consumption dynamics. The model, building on the labour-augmented K+S ABM, addresses the long-term patterns of labour demand emerging from heterogeneous forms of technical change. It provides a multi-level, integrated perspective on so called scenarios of the future of work, currently often restricted or to firm-level or to short-time sectoral analyses, and studies the conditions under which labour creation and destruction tend to balance. It is a relatively fair and stable distribution of income granted by a Fordist-type of regulation of the labour market that guarantees that the model never reaches stages of full technological unemployment. Patterns of coordination between technical change and aggregate demand are also ensured by the increasing product complexity which keeps on absorbing the labour force.

Language
Englisch

Bibliographic citation
Series: LEM Working Paper Series ; No. 2021/17

Classification
Wirtschaft
Trade Unions: Objectives, Structure, and Effects
Institutions and the Macroeconomy
Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
Computational Techniques; Simulation Modeling
Subject
Technical change
technological unemployment
structural change
consumption patterns

Event
Geistige Schöpfung
(who)
Dosi, Giovanni
Pereira, Marcelo C.
Roventini, Andrea
Virgillito, Maria Enrica
Event
Veröffentlichung
(who)
Scuola Superiore Sant'Anna, Laboratory of Economics and Management (LEM)
(where)
Pisa
(when)
2021

Handle
Last update
10.03.2025, 11:45 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Dosi, Giovanni
  • Pereira, Marcelo C.
  • Roventini, Andrea
  • Virgillito, Maria Enrica
  • Scuola Superiore Sant'Anna, Laboratory of Economics and Management (LEM)

Time of origin

  • 2021

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