COURSE UNIT TITLE

: ADVANCED MACROECONOMICS I

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IKT 6605 ADVANCED MACROECONOMICS I ELECTIVE 3 0 0 7

Offered By

Economics

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

PROFESSOR DOCTOR NILGÜN ACAR BALAYLAR

Offered to

Economics

Course Objective

To bring to the students a sophisticated perspective of macroeconomics by putting out the relationships and interactions between different macroeconomic models (aggregate expenditure-aggregate income, IS-LM, AD-AS) by qualitative and quantitative analyses.

Learning Outcomes of the Course Unit

1   To be able to analyse selected macroeconomic topics in the general equilibrium settings
2   To be able to learn quantitative techniques in order to analyse selected macroeconomic topics in the general equilibrium settings
3   To be able to comprehend macroeconomic models as well as the causality between the variables in those models
4   To be able to learn dynamic analysis the relationships between aggregate demand-aggregate supply, and product-price level
5   To be able to learn the approaches about the unemployment, and its linkage to inflation

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to macroeconomic models and their properties
2 Macroeocomic models in the general equilibrium settings
3 Aggregate Expenditure (AE)-Aggregate Income (Y) model and its interpretation
4 The link between money supply and money demand, and IS-LM model when the money supply is constant
5 The link between money supply and money demand, and IS-LM model when the money demand is constant
6 Analysis of relationship and interaction between Aggregate Expenditure (AE)-Aggregate Income (Y) model and IS-LM model
7 The link between Aggregate Expenditure (AE)-Aggregate Income (Y) model and IS-LM model when the interest rates do not change (Midterm exam will also be held this week after course hour)
8 Analysis of the link between Aggregate Expenditure (AE)-Aggregate Income (Y) model and IS-LM model when the interest rates do not change
9 Aggregate Supply (AS)- Aggregate Demand (AD) model and its interpretation
10 The link between Aggregate Expenditure (AE)-Aggregate Income (Y) model and Aggregate Supply (AS)- Aggregate Demand (AD) model when the price level changes
11 Analysis of the link between Aggregate Expenditure (AE)-Aggregate Income (Y) model and Aggregate Supply (AS)- Aggregate Demand (AD) model when the price level changes
12 Analysis of relationships and interactions between Aggregate Expenditure (AE)-Aggregate Income (Y) model and Aggregate Supply (AS)- Aggregate Demand (AD) model
13 The link between Aggregate Income (Y) model and Aggregate Supply (AS)- Aggregate Demand (AD) model
14 Relationship between unemployment and inflation

Recomended or Required Reading

Williamson, Stephen D. Macroeconomics, 5th Edition, Pearson Education, March 2013.
Samuelson, Paul A. ve Nordhaus, William D., Macro Economics, Fifteenth Ed., McGraw-Hill Inc., New York, 1995.
Ekelund, Robert B. Jr. ve Tollison, Robert D., Macro Economics, Fourth Ed., Harper Collins College Publishers, 1994.
Yıldırım, Kemal ve Karaman Doğan, Taşdemir, Makroekonomi, 9. Baskı, Seçkin Kitabevi, Ankara, 2010.

Planned Learning Activities and Teaching Methods

In this course, macroeconomic models will be analyzed quantitatively and qualitatively, so the needed toolbox will be handled theoretical and mathematical ways.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 STT TERM WORK (SEMESTER)
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 + STT * 0.30 + FIN* 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + STT * 0.30 + RST* 0.40


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

nilgun.balaylar@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Case study 14 1 14
Preparations before/after weekly lectures 14 3 42
Preparation for midterm exam 1 26 26
Preparation for final exam 1 36 36
Preparing assignments 1 20 20
Midterm 1 2 2
Final 1 2 2
TOTAL WORKLOAD (hours) 184

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9
LO.1555555555
LO.2555555555
LO.3555555555
LO.4555555555
LO.5555555555