Pengwei Zhu
01/30/2016
Macro-Econometrics
Homework Assignment #2 (100 points)
1.
Consider the following difference equation:
yt 0.8 yt 1 t 0.5 t 1
(a) Derive the homogenous and particular solutions (using the method of undetermined
coefficients). Please s
Pengwei Zhu
1/26/2016
Macro-Econometrics
Homework Assignment #1 (50 points)
Consider the following homogeneous difference equation:
yt 0 1 yt 1
(a) Iterating backwards, show how yt can be written in terms of yt-2.
y t =a0 +a 1 y t 1 (1)
y t1=a0 +a1 y t2 (
Pengwei Zhu
1/26/2016
Macro-Econometrics
Homework Assignment #1 (50 points)
Consider the following homogeneous difference equation:
yt 0 1 yt 1
(a) Iterating backwards, show how yt can be written in terms of yt-2.
y t =a0 +a 1 y t 1 (1)
y t1=a0 +a1 y t2 (
Economics of Discrimination
Lecture 9: Occupational
Segregation
B. Morgan
Spring, 2017
Occupational Segregation
Same occupation, different pay
Vertical and horizontal segregation
What do occupational patterns look like?
How to measure segregation
Bergmann
Economics of
Discrimination
Lecture 11:
Affirmative Action
B. Morgan
Spring, 2017
Affirmative Action
Legislation
Landmark Cases
Enforcement Agencies
Benefits and Costs
Measuring Policy Effects
Legislation
1963 Equal Pay Act high bar, statute of
limitation
Economics of Discrimination
Lecture 2: Labor Market
Outcomes by Gender
B. Morgan
Spring, 2017
Labor Market Outcomes by Gender
Defining Wages, Participation,
Unemployment
Trends in Participation by Gender
Trends in Unemployment by Gender
Trends in Wage
Economics of Discrimination
Lecture 5: Human Capital
B. Morgan
Spring, 2017
Human Capital
Trends in Education
Investing in Education
Earnings Differences
Expected work life
Costs
Rate of Return
On-the-Job Training
General
Specific
Age-Earnings Profi
Economics of Discrimination ECO 180.252
Johns Hopkins University Spring 2016
M, W 1:30 2:45 Hodson 305
Syllabus
Instructor: Dr. Barbara Morgan
[email protected]
Office Hours: Wyman Park 522
Mon. 3:00 p.m. 4:00 p.m. or by appointment
Teaching Assistant: Nich
Economics of Discrimination
Lecture 7: Econometric
Estimation
of Discrimination
B. Morgan
Spring, 2017
Lecture 7
What is labor market discrimination?
Wage equations
Decomposing the wage gap
Sources of bias
Labor Market Discrimination
Individuals with the
Economics of Discrimination
Lecture 3: Labor Market
Outcomes by Race and
Ethnicity
B. Morgan
Spring, 2017
Lecture 3 Race and Ethnicity
Labor Market Outcomes:
Labor Force Participation
Unemployment
Wages and Earnings
Trends by Gender and Trends by Race a
Economics of Discrimination
Lecture 1: Supply and
Demand in the Labor Market
B. Morgan
Spring, 2017
Supply and Demand in the
Labor Market
- Labor
Demand and Shifts in Demand
- Labor Supply and Shifts in Supply
- Shortages and Surpluses
- Labor Supply to t
Economics of Discrimination
Lecture 12:
Lawsuits B. Morgan
Spring, 2017
Lawsuits
Legislation, BFOQ
Class Action Certification
Legal Evidence
Cases
WalMart
Sterling Jewelers
Shoneys
Legislation
Equal Pay Act 1963
Title VII of Civil Rights Act 1964
Ci
Economics of Discrimination
Lecture 8: Theories of
Discrimination
B. Morgan
Spring, 2017
Theories of Discrimination
Beckers Market Models
Employer
Employee
Customer
Search-Related Monopsony
Statistical Discrimination
The Discrimination Coefficient
-Emp
Journal of Economic PerspectivesVolume 15, Number 4 Fall 2001Pages 69 85
Instrumental Variables and the Search
for Identification: From Supply and
Demand to Natural Experiments
Joshua D. Angrist and Alan B. Krueger
T
he method of instrumental variables is
Lesson 6:
Instrumental Variables
AS.440.618: MICROECONOMETRICS
Lesson Outline
Instrumental Variable Theory Lecture
This file!
Angrist and Krueger (1991) Article discussion
(Separate file on Blackboard)
Both try to explain the benefits and difficultie
Lesson 6:
Article Discussion
AS.440.618: MICROECONOMETRICS
Lesson Outline
Instrumental Variable Theory Lecture
(Separate file on Blackboard)
Angrist and Krueger (1991) Article discussion
This file!
Both try to explain the benefits and difficulties in
Lesson 4:
Ordinary Least Squares (2 weeks)
AS.440.618: MICROECONOMETRICS
Lesson Outline
Regressions and Loss Functions
OLS by hand
Simple Excel spreadsheet example
Dummy variables and interaction terms
What they explain and their importance in microe
625.416 Optimization Methods in Finance
Module 4 Problem Set
General Directions: All problems are to be completed individually and by hand unless
otherwise stated. Scan and upload your final document to the Blackboard course site. All
final submittals are
625.416 Optimization Methods in Finance
Module 2 Problem Set
General Directions: All problems are to be completed individually and by hand unless
otherwise stated. Scan and upload your final document to the Blackboard course site. All
final submittals are
625.416 Optimization Methods in Finance
Module 1 Problem Set
General Directions: All problems are to be completed individually and by hand unless
otherwise stated. Scan and upload your final document to the Blackboard course site. All
final submittals are
625.416 Optimization Methods in Finance
Module 3 Case Study
General Directions:
1. Select one of the available scenarios to analyze. (Your selection must be approved by
Dr. Castello.)
2. Use MATLAB to answer the questions posed.
3. Prepare a typed executi
Key Terms for Module 4: Nonlinear Programming Theory and Algorithms
Please make sure you can define the following terms after completing the video lectures and
readings for Module 4.
Armijo condition
Bisection method (for optimization problems)
critica
Benefit-Cost Analysis
Week 4-3: Cost Models
Models Used in Estimating Costs
Models used for estimating regulatory costs
Choice of model depends upon
Type of impacts being investigated
Geographic scope of expected impacts
Sectoral scope of expected impact
Single-Site Models
Single Site Travel Cost Model
r = f (tcr , tcs , y, z)
Works like a conventional downward sloping demand
functions.
The quantity demanded for a person is the number of trips taken
to a site in a season.
The price is the trip cost of
Week 7
Other revealed preference methods
Applica7ons to valuing health risks and the value
of sta7s7cal life.
Conclude with hedonic property models
Return Problem Set 1
Valua7on: Revealed Preference
By observing purchase decisions we can infe
Benefit-Cost Analysis
Week 2: Measures of Welfare
Change, BCA in Partial
Equilibrium, Using Elasticities
Demand Schedules
The Optimal Bundle
A Change in Price of X1
Demand Curve for X1
Demand Curves and Indifference Curves
Consumer Surplus
Compensating Va
Benefit-Cost Analysis and Employment
1. Evaluating benefits from training
programs
2. Including employment effects from a
policy or project in a BCA
Social Surplus Change from an Induced Wage
Increase
Social Surplus Change from an Induced
Increase in Hour
Benefit-Cost Analysis
Week 4-1: Social Cost and Opportunity
Cost
Social Costs
The most comprehensive and appropriate measure of
the costs of any policy action is social cost.
Social cost represents the total burden on the economy;
and it can be defined