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Theory and Practice of Contagion in Monetary Unions: Domino Effects in EMU Mediterranean Countries

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Abstract

This paper analyzes strategic interactions and contagion effects in the peripheral countries of a monetary union. Using game theory and cost-benefit analysis, the paper determines the set of equilibrium solutions under which country-specific shocks are transmitted to other member countries giving rise to contagion. Numerical simulations, obtained by a simple calibration of the model on some key Mediterranean countries of the Euro Zone, show the probabilities of contagion from Greece, Spain and Italy.

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Notes

  1. See, e.g., Attinasi et al. (2010), Barrios et al. (2009), Haugh et al. (2009), Amisano and Tristani (2011), Bernoth et al. (2012), Borgy et al. (2012), Aizenman et al. (2013).

  2. See, e.g., Caceres et al. (2010), Arezki et al. (2011), Favero and Missale (2011), Hui and Chung (2011), Arghyrou and Kontonikas (2012), Constancio (2012), De Santis (2012), Gomez-Puig and Sosvilla-Rivero (2011), Metiu (2012), De Grauwe and Ji (2013).

  3. A detailed analytical discussion of the basic theoretical approaches to currency and financial crises can be found in Piersanti (2012).

  4. This two-stage approach has been used also for endogenous coalition formation in a monetary union and for monetary union creation (see e.g. van Aarle et al. 2002; van Aarle et al. 2003; van Aarle et al. 2006; Kohler 2002; Kempf and von Thadden 2008; Michalak et al. 2008). A more formal exposition of this kind of game is provided by Ray and Vohra (1999).

  5. A more detailed discussion is in Canofari et al. (2012a). Similar theoretical structures have been used by Masson (1999), Buiter et al. (2001), Berger and Wagner (2005), Canofari et al. (2012b).

  6. The cost ϕ may have several sources and could reflect, for example, the loss of international reputation and anti-inflation credibility, voter dissension, or removal from the office.

  7. It is easy to check that, if u i t  = u j t  = 0, a rational expectation equilibrium implies Δs i t  = Δs j t  = E t − 1 Δs i t  = E t − 1 Δs j t  = 0 and \( {y}_t^i={y}_t^{i,F}={y}_t^j={y}_t^{j,F}=\overline{y} \).

  8. Thus, \( {\overline{y}}^A={\overline{y}}^B=0 \), and \( {s}^W={\overline{s}}^A={\overline{s}}^B=0 \).

  9. The proof is straightforward.

  10. Here, L i N is the loss of country i when both countries decides to stay in, \( {L}_{D^i}^i \) is the loss of country i when it chooses to exit, \( {L}_{D^j}^i \) is the loss of country i when country j decides to exit, and L i E is the loss of country i when both countries opt out.

  11. The next section will relax this assumption and extend the model to a heterogeneous monetary union. Numerical simulations computing the probability of contagion across the Mediterranean countries of the EMU will also be shown.

  12. Note that Q > 1 as long as β is smaller than one. The first term under the root is larger than one; the second term is always larger than one for admissible values of parameters.

  13. Average inflation aversion coefficients over the period 1981–1997 were considered.

  14. Greek potential output was obtained by applying the Hodrick-Prescott filter.

  15. Calculations involved the following two equations: \( {\displaystyle {\int}_{v^{\ast \ast}}^{\infty }}{\scriptscriptstyle \frac{1}{\sqrt{2\pi {s}_G^2}}}{e}^{-{u}^2/2{s}_G^2} du \) and \( {v}^{\ast \ast}=Q\sqrt{\left({\sigma}^2+\theta \right)\ \phi }/\sigma \), where s 2 G denotes the variance of the Greek output gap. Notice that the equation for v ∗ ∗ refers to the symmetric case. The expression for the asymmetric case is too muddy to be displayed here. The required computations and mathematical expressions are however available upon request.

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Correspondence to Paolo Canofari.

Appendix – Proof of Proposition 2

Appendix – Proof of Proposition 2

Proof. The incentive to move between alternative regimes can be written in compact form as: \( {a}_1={L}_{D^B}^A-{L}_E^A \), \( {a}_2={L}_{D^A}^A-{L}_N^A \), \( {b}_1={L}_{D^A}^B-{L}_E^B \), \( {b}_2={L}_{D^B}^B-{L}_N^B \). Thus, if a 2 > 0, for example, country A has no incentive to leave the monetary union. Setting u B t  = 0, it is easy to check that

$$ {a}_1>0\iff {v}_t>{v}^{\ast \ast \ast } $$
(12)
$$ {b}_1>0\iff {v}_t>{v}^{\ast \ast } $$
(13)
$$ {a}_2>0\iff {v}_t<{v}^{\ast } $$
(14)
$$ {b}_2>0\kern1em \mathrm{always}, $$
(15)

where \( {v}^{\ast }=\frac{1}{\sigma}\sqrt{\left({\sigma}^2+\theta \right)\phi } \), v ∗ ∗ = Q v , \( {v}^{***}=\frac{\beta_i{\sigma}^2}{\sigma^2+\theta }{v}^{**} \). As Q > 1, v  < v ∗ ∗ > v ∗ ∗ ∗. Accordingly, from proposition 1 and (12)-(15), it follows that: i) E is a Nash equilibrium if and only if a 1 and b 1 are both positive, i.e. v t  > max(v ∗ ∗, v ∗ ∗ ∗) = v ∗ ∗; ii) Regime N is a Nash equilibrium if and only if a 2 > 0 and b 2 > 0, i.e. v t  < v ; iii) regime D B is never a Nash equilibrium as it would require b 2 < 0.

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Canofari, P., Di Bartolomeo, G. & Piersanti, G. Theory and Practice of Contagion in Monetary Unions: Domino Effects in EMU Mediterranean Countries. Int Adv Econ Res 20, 259–267 (2014). https://doi.org/10.1007/s11294-014-9471-2

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