Abstract

We replicate the core model of the well-tested Keynes + Schumpeter agent-based model family, which features an endogenous innovation process in the evolutionary tradition based on invention and imitation. We introduce heterogeneous labor in the form of three different types of workers, representing different skill levels. In addition to a number of other stylized facts, which are reproduced by any Keynes + Schumpeter model, our version also generates wage inequality and labor market polarization due to skill-biased technological change. We introduce various labor market institutions and policies to our artificial economy in order to test, whether and how they affect inequality and polarization. Those policies, which alter relative wages induce an evolution of the technological development towards a lower demand for the relatively expensive type of worker. Policies and institutions that only aim at increasing the relative wages of low- and medium skilled workers therefore prove to be unable to combat inequality in the long run on their own. In order to be effective, those policies must be combined with educative measures that allow the workers to adapt to the changes in labor demand. Our findings have important implications on the design of real-world policies against inequality and polarization, since they shed light on potential unintended consequences of some of these policies.

Highlights

  • Rising wage inequality is a widely discussed phenomenon, especially for the USA where it has been observed since the 1980s

  • Acemoglu and Restrepo (2018) develop a framework in which directed technological change may lead to excessive automation that lead to wages which are relatively too high compared to the rental rate of capital

  • Our contribution is threefold: (1) We show that the well-known Keynes + Schumpter computational model can be modified with modest adaptions to produce wage inequality and job, as well as wage polarization—tendencies that are observed in the real world

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Summary

Introduction

Rising wage inequality is a widely discussed phenomenon, especially for the USA where it has been observed since the 1980s (see Autor 2014). Low-skilled as well as high-skilled jobs (or, as they put it, “lousy and lovely jobs”) are on the rise. This result was confirmed repeatedly for the U.S and Europe (Goldin and Katz 2007; Goos et al 2009; Autor and Dorn 2013). Acemoglu and Restrepo (2018) develop a framework in which directed technological change may lead to excessive automation that lead to wages which are relatively too high compared to the rental rate of capital (e.g. due to labor market rigidities).

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