Abstract
This paper extends a well-known macroeconomic stabilization game between monetary and fiscal authorities developed by Dixit and Lambertini (American Economic Review 93: 1522–1542) to multiplicative (policy) uncertainty. We find that even if fiscal and monetary authorities share a common output and inflation target (i.e., the symbiosis assumption), the achievement of the common targets is no longer guaranteed; under multiplicative uncertainty, in fact, a time consistency problem arises unless policymakers’ output target is equal to the natural level.
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Notes
Similar conclusions have been derived by Dornbusch et al. (1998); Mihov (2001) and ECB (2001) more specifically for monetary policy. They claim that the creation of European Monetary Union is likely to have strengthened the degree of uncertainty surrounding the transmission of monetary policy measures within the union.
Indeed, multiplicative (or parameter) uncertainty was first introduced by Holt (1962), who showed that policy performance would deteriorate when model parameters are uncertain.
Holly and Hughes Hallett (1989: 64–67) gives a comprehensive description of multiplicative uncertainty and compare it to additive uncertainty.
In their model policy-makers do not face uncertainty since they observe all the shocks in the Rogoff’s (1985) tradition.
See Lambertini (2006) for a discussion.
By assuming additive uncertainty, it is trivial to show that D&L’s results on fiscal-monetary interactions hold in expected terms, because of the certainty equivalence (D&L use quadratic games).
For the sake of brevity, we here consider only a multiplicative shock on fiscal policy effectiveness, but the robustness of our results with respect to different stochastic structures will be later discussed.
See Dixit and Lambertini (2003a) for an extensive discussion about the model and of its micro-foundations. For technical details see Dixit and Lambertini (2003a: Appendix A), which is available at http://www.princeton.edu/~dixitak/home/appendix_aer.pdf. Regarding the robustness of our results to different policy transmission mechanisms, see Sect. 4.
See Sect. 4 for a discussion on result robustness with respect to difference source of multiplicative uncertainty.
Note that \( E(\mu ) = \bar{\mu } = 1 \) and \( \sigma_{\mu }^{2} = E\left[ {\mathop {\left( {\mu - E(\mu )} \right)}\nolimits^{2} } \right] \); thus the variance can be rewritten as \( \sigma_{\mu }^{2} = E\left[ {\mu^{2} + E(\mu )^{2} - 2\mu E(\mu )} \right] = E\left[ {\mu^{2} + \mathop {\bar{\mu }}\nolimits^{2} - 2\mu \bar{\mu }} \right] = E\left[ {\mu^{2} } \right] - \mathop {\bar{\mu }}\nolimits^{2} \).
See the policy-makers’ reaction functions in the instrument space (Appendix A).
Optimal policy implies equalization of marginal costs and benefits of an inflation increase. When expectations are high, the output is low. Thus the marginal gain of increasing inflation is also high because of policy-makers’ quadratic losses. Hence, higher expectations imply looser policies. See again the policy-makers’ reaction functions.
Recall that, for x = x C and \( \pi_{0} = \pi_{0}^{C} \), y = y * and π = π *.
In order to move from instruments to objectives, we need to draw Eq. (3) as the locus of inflation rates in the instrument space (dashed lines). This locus is represented by a set of parallel lines with a slope equal to −c and an intercept equal to the associated inflation. In Fig. 1, higher dashed lines are associated with higher expected inflation rates.
For the sake of brevity, robustness is here only discussed in informal terms. Further results on other possible shock structure (including multiple correlated shocks) are available upon request from the authors.
Indeed, in addition to the discretionary equilibrium, D&L distinguish between leadership and commitment as possible game solutions. We discuss the robustness of our results only in the case of the D&L’s (Stackelberg) leadership equilibria. Commitment cannot be considered, either as state-contingent-linear or as non-linear rule, since the multiplicative shock is not observable before setting the policy (being a shock on policy effects and not on the state of the economy).
In other words, equilibria of policy games are often too much sensitive to modeling assumptions. See Kreps (1990) for a discussion on use and misuse of different equilibrium concepts and the effects of minor changes in analytical models and agents’ preferences.
Thus it holds also under monetary policy uncertainty.
In particular, different prescriptions arise from model uncertainty in monetary policy, which is studied in a companion paper (see Di Bartolomeo et al. 2007).
See Appendix A.
See Dixit and Lambertini (2003b).
Both social loss (13) and reduced form (2) and (3) coefficients depend on the economy deep parameters by the micro-foundation of the model; thus reduced form and social loss parameters are interrelated. Full details about this interaction are provided by appendices of Dixit and Lambertini (2003a) available at http://www.princeton.edu/~dixitak/home/appendix_aer.pdf.
We disregard the possibly negative effects of the tax (linear) distortions on the micro-founded welfare loss. This does not affect our results (See Appendix B).
From the first order conditions, we obtain two pairs of roots, but only the solution immediately below (Eq. (15) and (16)) implies that the 2 by 2 Hessian matrix is positive-semi definite: both the determinant and the trace of the Hessian in (13) and (14) are positive. The determinant is instead negative and the trace remains positive (an indeterminate Hessian matrix and a saddle point) when considering the other solution. Moreover, solution (13) and (14) is a global minimum also if the constraints 0 < θ G < + ∞ and 0 < θ B < + ∞ are considered (no corner solutions). Computations are available upon request.
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Acknowledgments
The authors are grateful to an anonymous referee, N. Acocella, G. Ciccarone, V. Di Simone, F. Coricelli, M. Paffermayr, P. Tirelli and seminar participants at University of Rome La Sapienza for useful discussions and comments on earlier drafts. All errors are our own responsibility. This research project has been supported by MIUR (PRIN 2005) and a Marie Curie Transfer of Knowledge Fellowship of the European Community’s Sixth Framework Programme under contract number MTKD-CT-014288. Giovanni Di Bartolomeo also gratefully acknowledges the University of Crete for hospitality.
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Appendices
Appendix A
This appendix contains some equations used in the discussion; all of them can be easily derived after tedious algebra.
By considering different orders of moves, the Stackelberg (fiscal leadership) solution is:
where \( B_{1} = a^{2} (\theta_{G} + \theta_{B}^{2} b^{2} ) \) and \( B_{2} = A_{2} (1 + \theta_{B} b^{2} ) \).
The Stackelberg (central bank’s leadership) solution is:
where: \( \begin{gathered} C_{1} = A_{1} A_{2} \sigma_{\mu }^{2} + a^{2} \left[ {\mathop {\left( {a + cb} \right)}\nolimits^{2} \theta_{G}^{2} + c^{2} \theta_{B} } \right]\rm {,} \hfill \\ C_{2} = A_{2}^{2} \sigma_{\mu }^{2} + c^{2} \mathop {\left( {ab\theta_{G}^{2} + c} \right)}\nolimits^{2} + c^{2} D\;{\text{and}}\;D = a\left( {a + b^{3} c\left( {\theta_{G} + \theta_{B} } \right)} \right)\theta_{G} + B_{2} - c^{2} > 0 \hfill \\ \hfill \\ \end{gathered} \).
In the Nash equilibrium described in the main text, the derivatives of the equilibrium outcomes are:
Appendix B
Consider a general welfare function (see Dixit and Lambertini (2003a: Appendix A-B):
where π *, y *, θ W \( ,\;\vartheta_{W} \) are directly derived from the fundamentals of the economy.
The optimal degrees of conservativeness that can be derived after simple algebra are:
The above result confirms the conclusion reached in the main text: the central bank should take account of inflation stabilization only, whereas the government should target both real output and inflation deviations and adopt a degree of conservativeness higher than the social one. By introducing a tax-distortion cost in the welfare function, the optimal degree of government’s conservativeness should be even higher. The economic intuition is trivial.
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Di Bartolomeo, G., Giuli, F. & Manzo, M. Policy uncertainty, symbiosis, and the optimal fiscal and monetary conservativeness. Empirica 36, 461–474 (2009). https://doi.org/10.1007/s10663-009-9104-9
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DOI: https://doi.org/10.1007/s10663-009-9104-9