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A NOTE ON DETERMINING VIABLE ECONOMIC STATES IN A DYNAMIC MODEL OF TAXATION

Published online by Cambridge University Press:  23 April 2015

J.B. Krawczyk*
Affiliation:
Victoria University of Wellington
K.L. Judd
Affiliation:
Stanford University
*
Address correspondence to: Jacek B. Krawczyk, School of Economics and Finance, Victoria University of Wellington, P.O. Box 600, Wellington 6140, New Zealand; e-mail: [email protected].

Abstract

Viability theory is the study of dynamical systems that asks what set of initial conditions will generate evolutions that obey the laws of motion of a system and some state constraints, for the length of the evolution. We apply viability theory to Judd's dynamic tax model [The welfare cost of factor taxation in a perfect-foresight model, Journal of Political Economy 95(4), 675–709 (1987)] to identify which economic states today are sustainable under only slightly constrained tax-rate adjustments in the future, when the dynamic budget constraint and the consumers' transversality condition at infinity are satisfied. We call the set of such states the economic viability kernel. In broad terms, knowledge of the viability kernel can tell the planner what economic objectives are achievable and assist in the choice of suitable controls to realize them. We observe that high consumption levels can only be sustained when capital is abundant and, unsurprisingly, that a very high consumption economy lies outside such kernels, at least for annual tax-adjustment levels limited by 20 percentage points. Furthermore, we notice that by and large the sizes of the kernel slices do not diminish as the tax rate rises; hence high-taxation economies are not necessarily more prone to explode, or implode, than their low-taxation counterparts. In fact, higher tax rates are necessary to keep many consumption choices viable, especially when capital approaches the constraint-set boundaries.

Type
Notes
Copyright
Copyright © Cambridge University Press 2015 

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References

REFERENCES

Aubin, J.P., Bayen, A.M., and Saint-Pierre, P. (2011) Viability Theory: New Directions, 2nd ed.Berlin: Springer.Google Scholar
Baker, B., Kotlikoff, L.J., and Leibfritz, W. (1999) Generational accounting in New Zealand. In Auerbach, A.J., Kotlikoff, L.J., and Willi, L. (eds.), Generational Accounting around the World, pp. 347368. Chicago: University of Chicago Press.Google Scholar
Bonneuil, N. and Boucekkine, R. (2008) Sustainability, Optimality and Viability in the Ramsey Model. Center for Operations Research and Econometrics, Louvain La Neuve.Google Scholar
Brock, W.A. and Turnovsky, S.J. (1981) The analysis of macroeconomic policies in perfect foresight equilibrium. International Economic Review 22, 179209.Google Scholar
Cardaliaguet, P., Quincampoix, M., and Saint-Pierre, P. (1999) Set valued numerical analysis for optimal control and differential games. Stochastic and Differential Games: Theory and Numerical Methods, Ann. Internat. Soc. Dynam. Games 4, 177274.CrossRefGoogle Scholar
Clément-Pitiot, H. and Doyen, L. (1997) Exchange rate dynamics, target zone and viability. Communication, Association Francaise de Science Economique Conference, 18 Sept. Paris.Google Scholar
De Lara, M., Doyen, L., Guilbaud, T., and Rochet, M.J. (2007) Is a management framework based on spawning stock biomass indicators sustainable? A viability approach. ICES Journal of Marine Science 64 (4), 761767.Google Scholar
Gaitsgory, V. and Quincampoix, M. (2009) Linear programming approach to deterministic infinite horizon optimal control problems with discounting. SIAM Journal on Control and Optimization 48, 24802512.Google Scholar
Guo, J.T. and Krause, A. (2014) Optimal dynamic nonlinear income taxation under loose commitment. Macroeconomic Dynamics 18, 14031427.Google Scholar
Judd, K.L. (1987). The welfare cost of factor taxation in a perfect-foresight model. Journal of Political Economy 95 (4), 675709.Google Scholar
Krastanov, M. (1995). Forward invariant sets, homogeneity and small-time local controllability. In Nonlinear Control and Differential Inclusions, pp. 298300. Banach Center publication 32, Polish Academy of Science, Warsaw.Google Scholar
Krawczyk, J.B. and Judd, K.L. (2012) Viable Economic States in a Dynamic Model of Taxation. Presented at the 18th International Conference on Computing in Economics and Finance, Prague, Czech Republic.Google Scholar
Krawczyk, J.B. and Judd, K.L. (2014) Which Economic States Today Are Sustainable under a Slightly Constrained Tax-Rate Adjustment Policy. Munich Personal RePEc Archive. Available at http://mpra.ub.uni-muenche.de/59207/.Google Scholar
Krawczyk, J.B. and Kim, K. (2009) “Satisficingm” solutions to a monetary policy problem: A viability theory approach. Macroeconomic Dynamics 13, 4680.CrossRefGoogle Scholar
Krawczyk, J.B. and Pharo, A. (2011) Viability Kernel Approximation, Analysis and Simulation Application–-VIKAASA Manual. SEF working paper, Victoria University of Wellington. Available at http://hdl.handle.net/10063/1878.Google Scholar
Krawczyk, J.B. and Pharo, A. (2014) Viability Kernel Approximation, Analysis and Simulation Application–-VIKAASA Code. Available at http://code.google.com/p/vikaasa/.Google Scholar
Krawczyk, J.B., Pharo, A., Serea, O.S., and Sinclair, S. (2013) Computation of viability kernels: A case study of by-catch fisheries. Computational Management Science 10, 365396.CrossRefGoogle Scholar
Krawczyk, J.B. and Serea, O.S. (2013) When can it be not optimal to adopt a new technology? A viability theory solution to a two-stage optimal control problem of new technology adoption. Optimal Control Applications and Methods 34, 127144.Google Scholar
Krawczyk, J.B. and Sethi, R. (2007) Satisficing Solutions for New Zealand Monetary Policy. Technical report DP2007/03, Reserve Bank of New Zealand. Available at http://www.rbnz.govt.nz/research_and_publications/articles/details.aspx?id=3968.Google Scholar
Krawczyk, J.B., Sissons, C., and Vincent, D. (2012) Optimal versus satisfactory decision making: A case study of sales with a target. Computational Management Science 9, 233254.Google Scholar
Pujal, D. and Saint-Pierre, P. (2006) Capture Basin Algorithm for Evaluating and Managing Complex Financial Instruments. Presented at the 12th International Conference on Computing in Economics and Finance, Cyprus.Google Scholar
Quincampoix, M. and Veliov, V.M. (1998) Viability with a target: Theory and applications. In Cheshankov, B. and Todorov, M. (eds.), Applications of Mathematical Engineering, pp. 4758. Sofia: Heron Press.Google Scholar
Veliov, V. (1997) Stability-like properties of differential inclusions. Set-Valued Analysis 5, 7388.CrossRefGoogle Scholar
Veliov, V.M. (1993) Sufficient conditions for viability under imperfect measurement. Set-Valued Analysis 1, 305317.Google Scholar