Economics B2000 Statistics and Introduction to Econometrics for MA Students in Economic 1945 2TU Dr. Yochanan Shachmurove Fall 2007
Office Hours: Tuesday, 9:00 10:00 p.m., Thursday, 2:30 3:30 p.m. in my office or in the Economics Computer Room at
ECO 33150
Introduction to Econometrics
City College of New York
Fall 2013, HR/09
September 18 and 23, 2013
Outline
1. The population linear regression model
2. The ordinary least squares (OLS) estimator
and the sample regression line
3. Measures of fit of
Teacher Training Exercises
These exercises are meant to educate teachers about different aspects of teaching, while opening
up communication between participants. The majority of the questions are discussion based.
They should be answered individually the
Homework #4
Due 8am EST Wednesday Oct 8, 2014
Econ B2000, MA Econometrics
Kevin R Foster, CCNY
Fall 2014
Each student should submit a separate assignment, even if it is an identical computer file to the rest of your study
group. When submitting assignment
Homework #3
Due 8am EST Wednesday Oct 1, 2014 (2 weeks!)
Econ B2000, MA Econometrics
Kevin R Foster, CCNY
Fall 2014
Each student should submit a separate assignment, even if it is an identical computer file to the rest of your study
group. When submitting
Lecture Notes 9
Econ B2000, Statistics and Introduction to Econometrics
Kevin R Foster, the City College of New York, CUNY
Fall 2014
Binary Dependent with Trees and Forests
With Tree Models (from computer science) the emphasis is on prediction not
necessa
Lecture Notes 8
Econ B2000, Statistics and Introduction to Econometrics
Kevin R Foster, the City College of New York, CUNY
Fall 2014
Instrumental Variables
Endogenous vs. Exogenous variables
o
Exogenous variables are generated from "exo" outside of the mo
Possible Solutions for Homework #4
Econ B2000, MA Econometrics
Kevin R Foster, CCNY
Fall 2014
1. What are the names of the people in your study group?
2. Using the Consumer Expenditure (CEX) Survey data from class, create a linear
regression to explain th
About Final Project.
Econ B2000, Statistics and Introduction to Econometrics
Kevin R Foster, the City College of New York, CUNY
Fall 2014
Begin investigating a topic in economics that interests you. This will eventually become the
final project that caps
Syllabus, Eco B2000, Colin Powell School at CCNY, Fall 2014
Statistics and Introduction to Econometrics
Tuesday 7:15-9:15pm, in NAC 6/313
Course Description
This MA course is designed to teach you to use the statistical tools that form an economist's basi
Lecture Notes 7
Econ B2000, Statistics and Introduction to Econometrics
Kevin R Foster, the City College of New York, CUNY
Fall 2014
Nonlinear Regression
(more properly, How to Jam Nonlinearities into a Linear Regression)
X, X2, X3, Xr
ln(X), ln(Y), both
Lecture Notes 5
Econ B2000, Statistics and Introduction to Econometrics
Kevin R Foster, the City College of New York, CUNY
Fall 2014
Regression in R
To have R do a linear regression, we use the command "lm()" as for example
model1 <- lm(Y ~ X1)
summary(mo
Lecture Notes 3
Econ B2000, Statistics and Introduction to Econometrics
Kevin R Foster, the City College of New York, CUNY
Fall 2014
Note next week is no class
Discuss Diagnostic Test Results
Standard Error of Average
With some math ( ) we can figure out
Spring 2016
Math Tutor Schedule
March 7th April 6th
Cohort 1
Monday
Wednesday
Math Class
Murphy
Daniel: 9:00am-11:30am
Marcos: 10:00am-11:30am
9:00am - 11:30am
11:30am - 12:30pm
Tuesday
Math Tutoring
Murphy None
12:30pm - 3:00pm
Math Class
Murphy
Marcos:
ECO 33150
Introduction to Econometrics
City College of New York
HR/109
September 25, 30 & October 2, 2013
Remember the
problem with outliers?
OLS is more sensitive to outliers than some other estimators. In the case of
estimating the population mean, if t