Abstract
This paper analyzes an augmented political business cycle model taking into account the effect of employment creation decisions by the ruling party jointly on inflation and growth. The objective is to maximize voter support in the next election that depends on the rate of unemployment as well as that of growth and inflation. We allow for stochasticity in the New Keynesian Phillips Curve model for the relationship between inflation and unemployment as well as in a benchmark labour productivity function for analyzing the growth rate. We provide explicit solution paths of the affine Markov control problem that results from our formulation. We also provide numerical illustrations with plausible parametric configurations to generate more insight into our model. Our results are broadly in line with the conventional wisdom of Phillips curve, with inflation and unemployment being roughly negatively related. The growth rate is, as expected, negatively related to the unemployment. We observe that, in the sequel, it is the lowering of the rate of inflation that provides support for the ruling party. Thus, electoral pressures drive the government to engage in cost control rather than productive investment (e.g., boosting employment or output growth).
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Notes
We do not get into the nuances and alternatives of this, as in Scott Findley (2015) who documents a large body of research in psychology showing an empirical regularity that individuals discount recent memories at a higher rate compared to the rate at which they discount older memories.
Suppose we choose a different cost function which is continuous, and Lipschitz continuous in the state variable uniformly with respect to the control variable, then we can show that the value function is the unique classical solution of the corresponding HJB equation in the class of functions with at most linear growth. However, the HJB equation may not admit an explicit solution and the optimal control may not be unique. Thus in such a situation we have to resort to numerical methods to compute an optimal control. In fact the importance of an explicit solution cannot be overstated.
References
Aisen, A., & Veiga, F. J. (2013). How does political instability affect economic growth? European Journal of Political Economy, 29, 151–167.
Basak, G. K., Ghosh, M. K., & Mukherjee, D. (2016). A mean-reverting stochastic model for the political business cycle. Stochastic Analysis and Applications, 34(1), 96–116.
Beck, N., & Katz, J. N. (2011). Modeling dynamics in time-series-cross-section political economy data. Annual Review of Political Science, 14, 331–352.
Blanchard, O., & Gali, J. (2007). Real wage rigidities and the new keynesian model. Journal of Money, Credit and Banking, 39, 35–65.
Castro, V., & Veiga, F. J. (2004). Political business cycles and inflation stabilization. Economics Letters, 83, 1–6.
Chiang, A. C. (1992). Elements of dynamic optimization. New York: McGraw Hill International Editions.
Christiano, L., Eichenbaum, M., & Evans, C. (2005). Nominal rigidities and the dynamic effects of a shock to monetary policy. Journal of Political Economy, 113(1), 1–45.
Feng, Y. (2005). Democracy, governance, and economic performance: Theory and evidence. Cambridge: MIT Press.
Fleming, W. H., & Soner, H. M. (2006). Controlled Markov processes and viscosity solutions (2nd ed.). New York: Springer.
Fragoso, M. D., & Baczynski, J. (2005). On an infinite dimensional perturbed Riccati differential equation arising in stochastic control. Linear Algebra and Its Applications, 406, 165–176.
Fragoso, M. D., & Hemerly, E. M. (1991). Optimal control for continuous-time linear quadratic problems with infinite Markov jump parameters. International Journal of Systems Science, 22(12), 2553–2561.
Gali, J., & Gertler, M. (1999). Inflation dynamics: A structural econometric analysis. Journal of Monetary Economics, 44(2), 195–222.
Kiley, M. T. (2016). Policy paradoxes in the new Keynesian model. Review of Economic Dynamics, 21, 1–15.
Milani, F. (2010). Political business cycles in the new Keynesian model. Economic Inquiry, Western Economic Association International, 48(4), 896–915.
Nordhaus, W. D. (1975). The political business cycle. Review of Economic Studies, 42(2), 169–190.
Scott Findley, T. (2015). Hyperbolic memory discounting and the political business cycle. European Journal of Political Economy, 40(1B), 345–359.
Smets, F., & Wouters, R. (2003). An estimated dynamic stochastic general equilibrium model of the euro area. Journal of the European Economic Association, 1(5), 1123–1175.
Smets, F., & Wouters, R. (2007). Shocks and frictions in US business cycles: A Bayesian DSGE approach. American Economic Review, 97(3), 586–606.
Wingrove, R. C., & Davis, R. E. (2012). Classical linear-control analysis applied to business-cycle dynamics and stability. Computational Economics, 39(1), 77–98.
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We wish to thank the reviewers for their insightful and constructive comments which have helped us to improve the paper to a considerable extent.
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Basak, G.K., Ghosh, M.K. & Mukherjee, D. A Stochastic Model with Inflation, Growth and Technology for the Political Business Cycle. Comput Econ 53, 125–140 (2019). https://doi.org/10.1007/s10614-017-9729-x
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DOI: https://doi.org/10.1007/s10614-017-9729-x
Keywords
- Political business cycle
- New Keynesian Phillips Curve
- Inflation
- Growth
- Technology aversion
- Stochastic optimal control
JEL Classification
- C63
- P16