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Involuntary Unemployment in an OLG Growth Model with Public Debt and Human Capital

Karl Farmer and Matthias Schelnast
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Matthias Schelnast: University of Graz

Chapter 9 in Growth and International Trade, 2021, pp 193-222 from Springer

Abstract: Abstract Even more than eight decades since the publication of Keynes’ (1936) “General Theory of Employment, Interest, and Money” modern macroeconomists disagree on the notion of “underemployment equilibrium” with so-called “involuntary unemployment.” While the majority of macro theorists trace involuntary unemployment back to frictions and rigidities in the adaptation of wages and product prices to market imbalances, a minority position holds that even under perfectly flexible output prices and wage rates involuntary unemployment might occur. Morishima (Walras’ economics: A pure theory of capital and money. New York: Cambridge University Press, 1977) and more recently Magnani (The Solow growth model revisited. Introducing Keynesian involuntary unemployment, 2015) presume that contrary to the majority view aggregate investment is not perfectly flexible but governed by “animal spirits” of investors. The aim of the present chapter is to integrate the Morishima–Magnani approach into Diamond’s (American Economic Review, 55, 1126–1150, 1965) Overlapping Generations’ (OLG) model with internal public debt subsequently extended by human capital accumulation. It turns out that despite a perfectly flexible real wage and interest rate involuntary unemployment occurs in intertemporal general equilibrium when aggregate investor sentiments are too pessimistic regarding the rentability of investment in real capital. In the model extended by human capital a higher public debt-to-output ratio decreases unambiguously involuntary unemployment, if initially the endogenous output growth rate is higher than the real interest rate.

Keywords: Underemployment equilibrium; Involuntary unemployment; Aggregate investment function; Human capital; Public debt (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/978-3-662-62943-7_9

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