EC204 Empirical Project
For your paper you will use the October CPS files to analyze an empirical question of
your choosing. You need to begin by stating the question you wish to investigate, and if you
have it, the hypotheses you plan to test. Your paper
Womens Wage, Family
Responsibilities, and Allocation of Work Hours
Abstract.
Research suggest that over the years, women are changing how they allocate their time.
This paper uses data from the October Current Population Surveys to test the assumption
of
Problem Set 2: Simple Linear Regression Model
The first four exercises should be done using only a calculator, and the last four done using
Stata.
EC 204, Fall 2016
Due: Tuesday, Feb. 9
1. Consider the following five observations, and complete this exerci
CHAPTER
2
Exercise Solutions
21
Chapter 2, Exercise Solutions, Principles of Econometrics, 4e
22
EXERCISE 2.1
(a)
x
xx
x x
0
1
2
3
4
6
2
3
1
0
-2
-1
0
1
2
yi
10
12
xi x xi x
0
2
x x y y
3.6
0.4
0.6
1.4
2.4
2
7.2
0.4
0
1.4
4.8
y y x x y y
10
0
13
y
CHAPTER
3
Exercise Solutions
54
Chapter 3, Exercise Solutions, Principles of Econometrics, 4e
55
EXERCISE 3.1
(a)
The required interval estimator is b1 tc se(b1 ) . When b1 83.416, tc t(0.975,38) 2.024
and se(b1 ) 43.410, we get the interval estimate:
83.
BOSTON UNIVERSITY
Economics 204: Empirical Economics 2 (Spring 2014)
Professor Todd Idson
Office: Room 418 Department of Economics, 270 Bay State Road
Office Hours: Monday 9:30-12:30, Thursday 2:00-3:00
Email: tidson@bu.edu
Phone: 617-353-2742
Course Desc
CAS EC 204 (A1, C1)
Empirical Economics 2
Fall 2016
Section A1: MWF from 10:00 am 10:50 am, CAS 213
Section C1: MWF from 2:00 pm 2:50 pm, CAS 325
Professor Information
Name: Ishita Dey, PhD
Office Address: Room 437,
Department of Economics,
270 Bay State
9/5/2016
Chapter 1
An Introduction to Econometrics
Chapter Outline
What is Econometrics?
Why study Econometrics?
Examples of relationships that can be studied using Econometrics
Describing an econometric model.
Random error
Parameters
What can the
Midterm 1 Review Sheet
EC 204, Fall 2015
Introduction to Econometrics
What is Econometrics? Use of theory and data along with tools from statistics to answer how
much questions.
Data types: experimental/non-experimental, quantitative/qualitative, cross-
Problem Set 1: Review of Probability and Statistics
EC 204, Spring 2016
Due: Thursday, Jan. 28
1. Based on many years of experience, an econometrics instructor has determined that the
probability distribution of X, the number of students absent on a Monda
Introduction to Econometrics
EC 204: Empirical Economics 2
Fall 2015
Tonja Bowen Bishop
What is Econometrics?
Set of statistical tools that allows economists
to test hypotheses using data from the real
world
Mike Moffat, Economics Expert for About.com
Joint Hypothesis Testing
A null hypothesis with multiple conjectures, expressed with more than one
equal sign, is called a joint hypothesis
Should a group of explanatory variables be included in a particular model?
Does the quantity demanded of a produ
1/19/2016
Revision of Probability Concepts
Pages 17-34
Definitions
Random Experiment
It is an action or process that leads to one of several possible
outcomes.
Experiment: Flipping a fair coin, Outcomes: Heads and Tails.
Experiment: Mondays change in
9/5/2016
Chapter 2
The Simple Linear Regression Model
In this chapter:
Introduction to Regression
Population and Sample differences
Example
Assumptions for the error term
Ordinary Least Squares (OLS) Estimation
Understanding and Interpreting the Est
Introduction to functions and models: INTRODUCING THE
QUADRATIC FUNCTION
1. Introduction (easy)
Quadratic functions are equations containing a squared term. When plotted, a quadratic
function describes a curve called a parabola, as in the ight of a projec
Username: TODD lDSONBook: Introduction to Econometrics, Third Edition Update. No part of any book may be reproduced or
transmitted in any form by any means without the publisher's prior written permission. Use (other than pursuant to the qualiﬁed fair
use
/\ /\ , .
Chapter 5 duck My failyl
Regression with a Single Regressor: Hypothesis
Tests and Conﬁdence Intervals
5.1 (a) The 95% conﬁdence interval for ﬂ] is {—5.82il.96>< 2.21}, that is—10.152 S ,61 S —~1.4884.
(b) Calculate the t—statistic:
A _0 _
ta" =
Username: TODD lDSONBook: Introduction to Econometrics, Third Edition Update. No part of any book may be reproduced or
transmitted in any form by any means without the publisher's prior written permission. Use (other than pursuant to the qualiﬁed fair
use
Usemame: TODD lDSONBook: Introduction to Econometrics, Third Edition Update. No part of any book may be reproduced or
transmitted in any form by any means without the publisher's prior written permission. Use (other than pursuant to the qualiﬁed fair
use
Usemame: TODD IDSONBook: Introduction to Econometrics, Third Edition Update. No part of any book may be reproduced or
transmitted in any form by any means without the publisher’s prior written permission. Use (other than pursuant to the qualiﬁed fair
use
Username: TODD lDSONBook: Introduction to Econometrics, Third Edition Update. No part of any book may be reproduced or
transmitted in any form by any means without the publisher's prior written permission. Use (other than pursuant to the qualiﬁed fair
use
Username: TODD lDSONBook: introduction to Econometrics, Third Edition Update. No part of any book may be reproduced or
transmitted in any form by any means without the publisher's prior written permission. Use (other than pursuant to the qualiﬁed fair
use
Username: TODD lDSONBook: Introduction to Econometrics. Third Edition Update. No part of any book may be reproduced or
transmitted in any form by any means without the publisher’s prior written permission. Use (other than pursuant to the qualiﬁed fair
use
Usemame: TODD IDSONBook: Introduction to Econometrics, Third Edition Update. No part of any book may be reproduced or
transmitted in any form by any means without the publisher‘s prior written permission. Use (other than pursuant to the qualiﬁed fair
use