Skip to main content
Log in

Diagnosis of Monetary Policy in Tunisia During the Last Decade: a DSGE Model Approach

  • Published:
Journal of the Knowledge Economy Aims and scope Submit manuscript

Abstract

This paper intends to analyze the dynamics of monetary policy in Tunisia during the last decade. In particular, we seek to explain the main factors that have hindered the achievement of the paramount objective of the monetary authority to stabilize prices. To do this, we used a dynamic stochastic general equilibrium (DSGE) model, of a small open economy. The model is estimated by using Bayesian techniques and includes three different types of structural shocks. We found that the output gap is less sensitive to interest rates, which reduces the impact of the real effects of the monetary policy shocks on aggregate demand. Moreover, Tunisia’s central bank has not followed during the 2000s an offensive and stabilizing monetary policy, given that the nominal interest rate reacts less to inflation deviations from its target and actively to fluctuations in production from its retarded level.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Notes

  1. Given that, the external trade represents a significant fraction of the Tunisian GDP and that the Tunisian economy is strongly subject to fluctuations in the world, the framework of a small open economy is the most adequate for our modeling. Therefore, it is not a closed economy model as in (Lahouel, Slimane and Tahar, 2012; Abdelli and Belhadj, 2015), but rather of a small open economy sensitive to external shocks.

  2. In addition to real rigidities

  3. A household member j can either divides their time between work and leisure.

  4. The higher the β value decreases, the lower the household values ​​its future consumption compared to today

  5. It should be noted that the real money is a financial asset that is not related interest, but since they facilitate transactions, households will hold a certain amount

  6. for example, it is often harder to imagine a shock that would change preferences for consumption or leisure

  7. The parameter η should influence the degree of the equilibrium state of work in the model.

  8. The sum of domestic Treasury bill \( {\ \mathrm{B}}_{\mathrm{t}}^{\mathrm{d}} \), and foreign Treasury bill \( {B}_t^f \)

  9. The inverse of the normative approach is the descriptive approach which seeks to estimate partial equilibrium a Taylor rule Vangu (2014).

  10. Resulting in 56 observations then reduced to 54 after eliminating the data 2014Q3 and 2014Q4 due to the differentiation of the data.

References

  • Abdelli, S., Belhadj, B., 2015. “The Dynamic Stochastic General Equilibrium Model for the Monetary Policy Analysis in Tunisia”. Global Journal of Human-Social Science (E) Economics, Volume XV Issue III Version I.

  • Adjemian, S., Devulder, A., 2011. “Évaluation de la politique monétaire dans un modèle DSGE pour la zone euro”. Centre pour la recherche économique et ses applications (CEPREMAP), Dynare Working Papers Series no. 7.

  • Ambler S., Dib A. et Rebei N. 2003. "Nominal Rigidities and Exchange Rate Pass-Through in a Structural Model of a Small Open Economy," Staff Working Papers 03–29, Bank of Canada.

  • Amiri, K., & Talbi, B. (2013). Règle de Taylor dans le cadre du ciblage d’inflation : cas de la Tunisie. La Revue Gestion et Organisation, 5, 176–182.

    Article  Google Scholar 

  • An, S., & Schorfheide, F. (2007). Bayesian analysis of DSGE models. Econ Rev, 26(2–4), 113–172.

    Article  Google Scholar 

  • BCT (2015). Annual Report, Central Bank of Tunisia. https://www.bct.gov.tn/bct/siteprod/documents/RA_2015_fr.pdf.

  • Ben Aîssa, M., & Rebei, N. (2012). Price subsidies and the conduct of monetary policy. J Macroecon, 34(3), 769–787.

    Article  Google Scholar 

  • Boivin, Jean, Marc P. Giannoni, 2003. "Has Monetary Policy Become More Effective?," NBER Working Papers 9459, National Bureau of Economic Research, Inc.

  • Calvo, G. A. (1983). Staggered prices in a utility-maximizing framework. J Monet Econ, 12(3), 383–398.

    Article  Google Scholar 

  • Castelnuovo, E. (2006). Monetary policy switch, the taylor curve, and the great moderation. Journal of Economic Literature. https://ssrn.com/abstract=880061.

  • Clarida, R., Gali, J., & Gertler, M. (2000). Monetary policy rules and macroeconomic stability: evidence and some theory. The Quarterly Journal of Economics, February, 2000, 147–180.

    Article  Google Scholar 

  • Coupet, Maylis, and Jean-Paul Reindeer, 2008, "Tax Reforms in a DSGE Model France in Open Economy," Economics & Forecasting, 2/3, num. 183/184, JEL C11, D58, E20, E63, H30, 199–222.

  • Del Negro, M, F Schorfheide 2012 - DSGE model-based forecastingAvailable at SSRN 2018451,

  • Dib, A. (2003). An estimated Canadian DSGE model with nominal and real rigidities. Canadian Journal of Economics, Canadian Economics Association, vol, 36(4), 949–972.

    Google Scholar 

  • Fern ndez-Villaverde, J., & Rubio-RamÌrez, J. F. (2004). Comparing dynamic equilibrium economies to data: a Bayesian approach. J Econ, 123, 153–187.

    Article  Google Scholar 

  • Gali, J., 2010, “The Return of the Wage Phillips Curve,” Manuscript, CREI.

  • Gali, J., Monacelli, T., 2004. “Monetary Policy and Exchange Rate Volatility in a Small Open Economy”. The Review of Economic Studies, Vol. 72, No. 3 (Jul. 2005), pp. 707–734.

  • Geweke, J., & Petrella, L. (1998). Prior density-ratio class robustness in econometrics- journal of Business & Economic Statistics. Pages, 469-478.

  • Jouini, N., Rebei, N., 2013. “The Welfare Implications of Services Liberalization in a Developing Country: Evidence from Tunisia”. IMF working paper No.13/110.

  • Juillard, M., P. Karam, D. Laxton, and P. Pesenti, 2006, A Simple Welfare-Based Monetary Policy Rule in an Estimated DSGE Model of the US Economy, ECB Working Paper No. 613.

  • Lahouel M. H., Slimane S. B. H., Tahar M. B. 2012, “Public Expenditures Shocks in a Real Business Cycle Model: Implications for The Tunisian Economy”. 18th Annual Conference Economic Research Forum, Corruption and Economic Development, 37p.

  • Leeper, E. and T. Zha, 2000, Assessing Simple Policy Rules: A View from a Complete Macro Model, Federal Reserve Bank of Atlanta Working Paper 2000–19.

  • Lubik Thomas A. et Schorfheide, F., 2004, “Testing for indeterminacy: an application to U.S. monetary policy”. American Economic Review, vol. XCIV n° 1, pp. 190–217.

  • Mankiw Gregory N., 2010, Macroéconomie, 4ième édition, De Boeck Université, Bruxelles.

  • Mésonnier, J., Renne, J., 2004. “Règle de Taylor et politique monétaire dans la zone euro”. Notes d’Études et de Recherche de la Banque de France.

  • Ragan, C. (2007). L’importance de la politique monétaire une perspective canadienne. Revue de la Banque du Canada, Hiver, 2006–2007.

  • Rebei N., Ambler S. and Dib A., 2004. "Optimal Taylor Rules in an Estimated Model of a Small Open Economy," Computing in Economics and Finance 2004 125, Society for Computational Economics.

  • Sergi F., 2014, “Quelle méthodologie pour une étude des modèles DSGE ? Suggestions à partir d’un état des lieux des recherches sur la modélisation”, Documents de travail du Centre d’Economie de la Sorbonne 2014.67 - ISSN : p. 1955-611X. 2014.

  • Smets, F., & Wouters, R. (2003). An estimated dynamic stochastic general equilibrium model for the euro area. J Eur Econ Assoc, 1(5), 1123–1175.

    Article  Google Scholar 

  • Smets, F., & Wouters, R. (2004). Comparing shocks and frictions in US and euro area business cycles: a Bayesian DSGE approach. J Appl Econ, 20(2), 161–183.

    Article  Google Scholar 

  • Smets, F. R., & Wouters, R. (2007). Shocks and frictions in US business cycles: a Bayesian DSGE approach. Am Econ Rev, 97(3), 586–606.

    Article  Google Scholar 

  • Tovar, C. E. (2009). DSGE models and central banks. Economics: The Open-Access, Open-Assessment E-Journal, 3(2009–16), 1–31.

    Google Scholar 

  • Tsasa J.-P. K. 2014, Diagnostic de la politique monétaire en Rép. Dém. Congo: Approche par l’équilibre général dynamique stochastique. Dynare Working Papers Series, 38, 72p.

  • Vangu, J.P.K.T. (2014). Diagnostic de la politique monétaire en Rép. Dém. Congo–Approche par l’Equilibre Général Dynamique Stochastique. Résumé.

  • Woodford, M. (2003). Comment on: multiple-solution indeterminacies in monetary policy analysis. Journal of Monetary Economics, Elsevier, 50(5), 1177–1188.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kawther Alimi.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Alimi, K., Chakroun, M. & Levieuge, G. Diagnosis of Monetary Policy in Tunisia During the Last Decade: a DSGE Model Approach. J Knowl Econ 10, 348–364 (2019). https://doi.org/10.1007/s13132-017-0455-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13132-017-0455-3

Keywords

Navigation