Economics for Decision-Making
Home Work 1
(Graded)
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Arefaine G - Yohannes
Fall I, 2015
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_
1.
At the beginning of 2014, Brenda and Jeff had a net worth of $100,000. At the end of the year,
their net worth was $160,000. During the year, they spent $140,
Entrepreneurial Finance
2 Credits
BU.233.730.51
Wednesday 6-9pm
August 19, 2015 to Oct 7, 2015
Fall 1 2015
Washington DC, Room 212
Instructor
Jim Kyung-Soo Liew, Ph.D.
Contact Information
Email: [email protected] and [email protected]
Phone: 410-234-9401
Of
ADVANCED CORPORATE
FINANCE
An applied Approach
Objectives and Principles
Myths and Trues on Valuation
(Aswath Damodaran)
Myth 1: A valuation is an objective search for true value
Truth 1.1: All valuations are biased. The only questions are how much and in
BU.220.620.52 Economics for Decision Making Arefaine Ghebre-Yohannes Page 1 of 6
Economics for Decision Making
2 Credits
BU.220.620.52
Thursday, 6pm-9pm
8/20/15-10/8/15
Fall 2015
Washington, DC
Instructor
Arefaine Ghebre-Yohannes
Contact Information
(703)
ARACRUZ PROJECT: minicase
Background
Fibria is a Brazilian firm with a strong presence in the global market for wood
products. The company invests in the cultivation of forests as a renewable and
sustainable source of life, generating wealth and economic
fuARACRUZ PROJECT: minicase
Background
Fibria is a Brazilian firm with a strong presence in the global market for wood
products. The company invests in the cultivation of forests as a renewable and
sustainable source of life, generating wealth and economi
Problem Set 11
Problem Set 8
Solutions
Solutions
Econometrics - Spring 2015
Econometrics - Spring 2013
Questions
1. Discussion Question
(i) In the Week 11 discussion board, create a new thread in which you give an
example of a regression model that might
Problem Set 10
Solutions
Econometrics Summer 2013
Econometrics - - Spring 2015
1. Discussion Question
(i) In the Week 10 discussion board, create a new thread in which you give an
example of a regression model that could be used to test ecacy of particula
Econometrics, Spring 2015
Problem Set 7: Solutions
1. Using "Height weight data" from the Datasets tab:
a) Run a regression of y=weight on x=height; interpret the results, being sure to
mention the units of measurement.
. regress weight height
Source |
SS
Problem Set 9
Solutions
Econometrics - Spring 2015
Econometrics -Summer 2013
Due July 21
Questions
1. Discussion Question
(i) In the Week 9 discussion board, create a new thread in which you give an
example of a regression equation that models a nonlinear
Stat Review
OLS Distribution
Test Single Param
Condence Intervals
Test Single Comb
Test Multiple Restricts
Statistical Inference with Regression Models
Collin Rabe
Johns Hopkins University - AAP
Stat Review
OLS Distribution
Test Single Param
Condence Inte
Overview
Motivations
Data Types
Causality
Introduction to Econometrics
Johns Hopkins University - AAP
Math Review
Overview
Motivations
Data Types
Causality
E CONOMICS AND S CIENCE
Economics is a social science
What is practical difference between social
Motivation
OLS with MLR
Expected Value
Variance
The Multiple Linear Regression Model
Collin Rabe
Johns Hopkins University - AAP
Efciency
Motivation
OLS with MLR
Expected Value
O UTLINE
Multiple Linear Regression model
Derivation of OLS estimators
Stati
SLR Model
OLS Derivation
The Simple Linear Regression Model
Collin Rabe
Johns Hopkins University - AAP
OLS Properties
SLR Model
OLS Derivation
O UTLINE
Introduce Simple Linear Regression model
Derive Ordinary Least Squares estimators
Properties of OLS