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Animal spirits and unemployment: a disequilibrium analysis

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Abstract

The past decade has seen a number of advances in modelling disequilibrium dynamics. This paper draws on separate approaches to disequilibrium dynamics to demonstrate a Keynesian result concerning the formal relevance of “animal spirits” in production economies. Specifically, it is shown that a parameter that can be associated with the “animal spirits” of firms is crucial to the stability of full employment equilibrium in a production economy. This approach to “animal spirits” is different to that taken by recent New Keynesian DSGE-type models, but similar in spirit to “Old Keynesian” approaches, including that of the General Theory. The corollary of the main conclusion is that price flexibility is not a sufficient condition for convergence on full employment equilibrium.

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Notes

  1. The cross-dual tâtonnement process has been studied by Beckmann and Ryder (1969), Morishima (1977), Sonnenschein (1982), Mas-Colell (1986), Flaschel (1991), and Lorenz (1992). Also, see Flaschel and Semmler (1987) for a comparison with similar approaches used in the Classical literature.

  2. Also see Dawid (2006) for references to agent based models of imperfect competition pertaining to technological change, and Raberto et al. (2008) for an agent based model with completely monopolised output and factor markets.

  3. See the “Appendix” for a detailed derivation of the Walrasian equilibrium.

  4. It should be emphasised that it is not clear a priori how good an approximation this method is; this could only be ascertained by comparing the model of this paper to a similar model with micro-simulated interaction. This point is considered in the conclusion.

  5. I would like to thank an anonymous referee for highlighting this point.

  6. Confining \(\epsilon \) and \(\gamma \) to be less than or equal to 1 seems reasonable. Given this, for very high values of these parameters the model produces time series that diverge rapidly. For certain parameterisations the model can generate erratic adjustment paths, although no limit cycles have been found to exist.

  7. Calculating the impulse response charts is straightforward, as the model is not stochastic. The model is simply iterated from initial conditions that correspond to the steady state values given the initial parameterisation, and the technology vector changes permanently between periods 20 and 21.

  8. The non-varying parameter is held at \(\gamma = 0.1, \epsilon = 0.1\). Cumulative unemployment is the sum of unemployment in each period of the simulation.

  9. The non-varying parameter is held at \(\gamma = 0.1, \epsilon = 0.1\). Equilibrium unemployment is the unemployment figure at the final period of the simulation.

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Acknowledgments

The research for this paper was undertaken at the School of Economics, University of Kent, with funding provided by the ESRC (Grant Number: ES/J500148/1). I would like to thank Mathan Satchi for his ongoing help, and Peter Flaschel, Stephen Kinsella, Miguel Leon-Ledesma, Clemens Matt, Ivan Mendieta Muñoz, Jo Michell, Jan Toporowski, and Sander van der Hoog for their advice and comments. A previous version of this paper was presented at WEHIA 2013 in Reykjavik, and I thank the participants for their comments. Finally, I would like to thank two anonymous referees for their helpful comments, which have greatly improved the finished article.

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Appendix

Appendix

Determining the Walrasian equilibrium as per Sect. 2.1 is straightforward. Solving the firms’ problems gives relative prices (given CRTS and non-substitution), and solving the households’ problems gives the amounts of each commodity produced (given total labour endowment). Firm \(j\)’s problem is as follows:

$$\begin{aligned} \max p_{j} x_{j} - w l \text { s.t. } x_{j} = \alpha _{j} l \end{aligned}$$

Taking the wage as numeraire, this reduces to the following problem:

$$\begin{aligned} \max p_{j} \alpha _{j} l - l \end{aligned}$$

As the technology is CRTS, the maximisation problem does not yield a supply function. Instead, the F.O.C. gives \(p_{j}\):

$$\begin{aligned} p_{j} \alpha _{j} - 1 = 0 \rightarrow p_{j} = \alpha _{j}^{-1} \end{aligned}$$

Hence, \(p_{1} = \alpha _{1}^{-1}\) and \(p_{2} = \alpha _{2}^{-1}\). Household \(i\)’s problem is as follows:

$$\begin{aligned} \max \beta _{i}\ln x_{1} + (1 - \beta _{i})\ln x_{2} \text { s.t. } p_{1}x_{1} + p_{2}x_{2} \le wl_{i} \end{aligned}$$

The F.O.C.s are then as follows:

$$\begin{aligned} x_{1}&= \beta _{i} \dfrac{w l_{i}}{p_{1}} \\ x_{2}&= (1 - \beta _{i}) \dfrac{w l_{i}}{p_{2}} \end{aligned}$$

Taking the wage as numeraire, noting that each household’s labour endowment is normalised to 1, and substituting for the relative prices calculated above, the above F.O.C.s reduce to:

$$\begin{aligned} x_{1}&= \dfrac{\beta _{i}}{p_{1}} = \alpha _{1} \beta _{i} \\ x_{2}&= \dfrac{(1 - \beta _{i})}{p_{2}} = \alpha _{2} (1 - \beta _{i}) \end{aligned}$$

Finally, as total demand for \(x_{1}\) and \(x_{2}\) is the demand of household 1 plus the demand of household 2, the total amounts produced of \(x_{1}\) and \(x_{2}\) are as follows:

$$\begin{aligned} x_{1}&= \alpha _{1} \beta _{1} + \alpha _{1} \beta _{2} = \alpha _{1} (\beta _{1} + \beta _{2}) \\ x_{2}&= \alpha _{2}(1 - \beta _{1}) + \alpha _{2} (1 - \beta _{2}) = \alpha _{2} (2 - \beta _{1} + \beta _{2}) \end{aligned}$$

This gives the Walrasian equilibrium as per Sect. 2.1.

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Jump, R. Animal spirits and unemployment: a disequilibrium analysis. J Econ Interact Coord 9, 255–274 (2014). https://doi.org/10.1007/s11403-014-0134-4

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