Abstract
In this paper, we consider the Aiyagari et al. (J Polit Econ 110(6):1220–1254, 2002) general equilibrium model of optimal taxation and show that the optimal tax rate does not necessarily imply tax smoothing, as it may depend on past government debt and can also shift with news about future changes in fiscal policy. We test these predictions using data from a sample of 22 OECD countries. When we account for structural breaks in the data, we find that the tax smoothing hypothesis is rejected in favor of stationary tax rates in five countries. Further for most countries with stationary tax rates, the debt-to-GDP ratio helps predict their expected future tax rates. That is not the case for the remaining countries whose tax rates appear to be nonstationary.
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Notes
Lloyd-Ellis et al. (2005) extend Barro’s model by allowing for stochastic interest rates and analyze the implications of tax smoothing for the behavior of the US debt-to-GDP ratio in the 1980s and 1990s.
In this model, the tax rate has a smaller variance than a balanced budget would imply; furthermore, only if government expenditures follow a random walk, so will the tax rate.
At a natural asset limit, the government can generate enough interest income from its assets in order to pay its debts at a tax rate equal to zero. At a natural debt limit, the government can raise tax revenues to pay its debt with probability one. In general, the natural debt and asset limits are hard to pin down both theoretically and empirically.
A negative value for \({\underline{M}}\) represents an asset limit.
For example, assuming that \({\overline{x}}=2/3\), requires setting \(\eta >3/5\).
We are grateful to Mohitosh Kejriwal and George Messinis who kindly provided their respective computer codes for these tests.
We are grateful to one referee for suggesting the Perron–Yabu test.
Here and throughout the paper, a trend stationary process with structural breaks denotes a process which is stationary within each of the sub-periods between the breaks. In general though, a process without unit roots but with breaks is nonstationary with time-varying moments but no stochastic trends. We are grateful to the coordinating editor for this clarification.
Among others, Lee and Strazicich (2003) have developed Lagrange Multiplier unit root tests which are valid in the presence of structural breaks.
We computed the six unit root tests using the Gauss code developed by Josep Lluís Carrion-i-Silvestre as a companion to the Carrion-i-Silvestre et al. (2009) paper, and the Perron–Yabu test using the MATLAB code developed by Tomoyoshi Yabu as a companion to the Perron and Yabu (2009) paper. Both codes are available on Pierre Perron’s Web site.
Throughout the empirical analysis, we used the level of the tax rate. We also experimented with the logarithm of the tax rate. All the results in this case were quite similar to the results reported in the paper and are available upon request.
The BIC criterion is parsimonious in the lag selection, compared to other model selection criteria, but it is consistent in choosing the correct number of lags.
We computed these test statistics using the Gauss computer code companion to the Bai and Carrion-i-Silvestre (2009) paper, available at the Review of Economic Studies website. We are grateful to one referee for suggesting this code to us, and to both referees for suggesting panel unit root testing.
The original version of the \(\hbox {P}_{{m}}\) statistic was proposed by Choi (2001) when \(N\rightarrow \infty \).
For the results in Table 8, we set \(r=2\), that is, we assumed 2 unobserved common factors in the model for the tax rates. We experimented with different values of r but the test results were not affected.
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We would like to thank the Coordinating Editor, Robert M. Kunst, and two anonymous referees for their valuable comments and suggestions which helped to improve the paper significantly. All remaining errors are our own.
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Angyridis, C., Michelis, L. Structural breaks, debt limits and the tax smoothing hypothesis: theory and evidence from the OECD countries. Empir Econ 60, 1283–1307 (2021). https://doi.org/10.1007/s00181-019-01786-2
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DOI: https://doi.org/10.1007/s00181-019-01786-2