#
ESF:MPE_MAMO Macro modelling - Course Information

## MPE_MAMO Macroeconomic modelling

**Faculty of Economics and Administration**

Autumn 2020

**Extent and Intensity**- 2/2/0. 10 credit(s). Type of Completion: zk (examination).

Taught online. **Teacher(s)**- doc. Ing. Daniel Němec, Ph.D. (lecturer)

doc. Ing. Daniel Němec, Ph.D. (seminar tutor)

prof. Ing. Osvald Vašíček, CSc. (lecturer)

Ing. Mgr. Vlastimil Reichel, Ph.D. (seminar tutor)

Ing. Mgr. Vlastimil Reichel, Ph.D. (lecturer)

Mgr. Jakub Chalmovianský (lecturer)

Mgr. Jakub Chalmovianský (seminar tutor) **Guaranteed by**- doc. Ing. Daniel Němec, Ph.D.

Department of Economics - Faculty of Economics and Administration

Contact Person: Mgr. Jarmila Šveňhová

Supplier department: Department of Economics - Faculty of Economics and Administration **Timetable**- Thu 16:00–17:50 P106
- Timetable of Seminar Groups:

*J. Chalmovianský, D. Němec, V. Reichel* **Course Enrolment Limitations**- The course is also offered to the students of the fields other than those the course is directly associated with.
**fields of study / plans the course is directly associated with**- Economics (programme ESF, M-EKT)
- Economics (programme ESF, N-EKON) (3)
- Economics (programme ESF, N-EKT)
- Economics (programme ESF, N-MA)
- Mathematical and Statistical Methods in Economics (programme ESF, N-KME)
- Mathematical and Statistical Methods in Economics (programme ESF, N-MSME)
- Mathematics - Economics (programme PřF, N-AM)

**Course objectives**- This course is intended to provide the students with advanced knowledge of the tools and techniques of macroeconomic modelling (including methods of model identification and interpretation of particular model building blocks), especially in the field of Dynamic Stochastic General Equilibrium models (DSGE).
**Learning outcomes**- At the end of the course students should be able to:

-formulate and derive the main equations of standard DSGE (dynamic stochastic general equilibrium) models (with alternative specifications)

-log-linearize first order conditions

-calibrate, simulate and diagnose DSGE models

-prepare data sets (including appropriate transformations)

-understand idea behind the state-space form of dynamic models, Kalman filter and solutions of models with rational expectations

-identify and diagnose DSGE models

-perform sensitivity and robustness analysis

-interpret the obtained results **Syllabus**- Lectures:
- 1. Classical monetary model – basic equations and principles of deriving first order conditions, general equilibrium
- 2. Basic New Keynesian monetary model I – basic blocks, optimal decision of firms and households, Calvo pricing mechanism
- 3. Basic New Keynesian monetary model II - New Keynesian Phliips Curve and general equilibrium, monetary rule
- 4. Model with staggered wages and prices – alternative approaches to model price and wage rigidities
- 5. Small open economy model I – basic principles, domestic and foreign sector, tradable and non-tradable goods
- 6. Small open economy model II – exchange rate, terms of trade, uncovered interest parity
- 7. Money in NK models – alternative approaches to model money in NK models
- 8. Models with labor market I – nominal and real labor market rigidities, matching function
- 9. Models with labor market II – alternative concepts of wage bargaining
- 10. Model with fiscal policy – Ricardian and non-Ricardian households, the role of taxes in DSGE models
- 11. Optimal monetary policy – alternative monetary rules, discretion versus commitment
- 12. Actual issues and problems of DSGE modelling
- Seminars:
- 1. Log-linearizing macroeconomic models, introduction to Dynare toolbox for Matlab.
- 2. Model calibration, solving steady-states and model simulations.
- 3. Diagnostics of simulated models – autocorrelation functions and simulated moments.
- 4. State-space form of dynamic macroeconomic models and Kalman filter I
- 5. State-space form of dynamic macroeconomic models and Kalman filter II
- 6. Models with rational expectations and their solutions.
- 7. Preparing data sets, data analysis, the possibilities to detrending data, stating connections between model and observed data.
- 8. Identification (estimation) of DSGE models and basic diagnostic tests.
- 9. Evaluating quality of identified DSGE models and analysing impulse-response function.
- 10. Historical shock decomposition and evaluating quality of identified DSGE models.
- 11. Sensitivity and robustness analysis.
- 12. Model predictions.

**Literature**- GALÍ, Jordi.
*Monetary policy, inflation, and the business cycle : an introduction to the new Keynesian framework*. Princeton: Princeton University Press, 2008. xi, 203. ISBN 9780691133164. info - DEJONG, David N. and Chetan DAVE.
*Structural macroeconometrics*. Princeton: Princeton University Press, 2007. xiv, 338. ISBN 9780691126487. info

*required literature*- WICKENS, Mike.
*Macroeconomic theory : a dynamic general equilibrium approach*. Second edition. Princeton: Princeton University Press, 2012. xvii, 596. ISBN 9780691152868. info - CANOVA, Fabio.
*Methods for applied macroeconomic research*. Princeton: Princeton University Press, 2007. xiv, 492. ISBN 9780691115047. info

*recommended literature*- GALÍ, Jordi.
**Teaching methods**- lectures, seminars (theoretical exercises, practical computations in Matlab software - Dynare toolbox, working with data, identifying DSGE models)
**Assessment methods**- Semestral project and its presentation within the oral exam (including discussion)
**Language of instruction**- Czech
**Further comments (probably available only in Czech)**- Study Materials

The course is taught annually.

General note: Přednášky jsou dostupné online a ze záznamu.

Information on course enrolment limitations: max. 20 cizích studentů; cvičení pouze pro studenty ESF

- Enrolment Statistics (recent)

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