Master of Finance Fall 2015
Macro- and Monetary Economics
Part I. Macroeconomics with microeconomic foundations
The neoclassical model
Macroeconomics
A short introduction
2
Macroeconomics what we want to explain
Aggregate economic activity over time
3
M
Master of Finance Fall 2015
Macro- and Monetary Economics
II Keynesian Macroeconomics
We intend to learn .
Keynesian macroeconomic theory based on neoclassical
(microeconomic) foundations
Keynesian macroeconomic theory based on the General
Theory
the i
Macro- and Monetary Economics Tutorial
WS 2015/16
Part I: Macroeconomics with microeconomic foundations the
neoclassical model
Stefan Greppmair
stefan.greppmair@fs-students.de
FrankfurtSchool.de
1
Tutorial Dates
Monday Group
Mon, 12. October: 4:45 pm
Thu
Macro- and Monetary Economics Tutorial
WS 2015/16
Part I: Macroeconomics with microeconomic foundations the
neoclassical model
Stefan Greppmair
stefan.greppmair@fs-students.de
FrankfurtSchool.de
1
Questions for Review
Neoclassical Model
FrankfurtSchool.d
Macro- and Monetary Economics Tutorial
WS 2015/16
Part II: Keynesian Macroeconomics Sticky Wage Model
and General Theory
Stefan Greppmair
stefan.greppmair@fs-students.de
FrankfurtSchool.de
1
Questions for Review
Keynesian Macroeconomics
FrankfurtSchool.d
Tutorial for Statistics
Regression
Maximum Likelihood
Scatter Plots and Correlation
A scatter plot (or scatter diagram) is used to show the relationship
between two variables.
Correlation analysis is used to measure strength of the association (linear
rel
Tutorial for Statistics
The Central Limit Theorem
Interval Estimation
Learning Objectives
1. Introduction to the Central Limit Theorem and its
application.
2. Construct confidence intervals on the mean of a normal
distribution, using either the normal dis
Tutorial for Statistics
The Central Limit Theorem
Interval Estimation
Learning Objectives
1. Introduction to the Central Limit Theorem and its
application.
2. Construct confidence intervals on the mean of a normal
distribution, using either the normal dis
Tutorial for Statistics
Regression
Maximum Likelihood
Scatter Plots and Correlation
A scatter plot (or scatter diagram) is used to show the relationship
between two variables.
Correlation analysis is used to measure strength of the association (linear
rel
Jan Vecer
Statistics and
Econometrics, Lecture
Notes
CRC PRESS
Boca Raton London
New York
Washington, D.C.
Chapter 1
Elements of Probability Theory
1.1
Probability Basics
Probability is a triplet (, F, P), where is a set of outcomes (also known
as sample