Willy Lin Econ 140B HW 3 1. a.
The results of the regression met my expectations since education, experience, and being covered by a union should influence wages positively. Experience squared is not necessarily positive, because many companies would rath
University of California, Santa Barbara
Department of Economics
Olivier Deschenes
Winter 2011
Economics 140B
Individual Assignment 3: Answer Key
Due in class 02/15/11
Question 1:
The standard model for estimating the return to education is the log-linear
University of California, Santa Barbara
Olivier Deschenes
Department of Economics
Winter 2011
_
Economics 140B
Individual Assignment 3
Due in class 02/15/11
Question 1:
The standard model for estimating the return to education is the log-linear wage equat
University of California, Santa Barbara
Department of Economics
Olivier Deschenes
Winter 2011
Economics 140B
Individual Assignment 1
Due in class 01/20/11
Some of these exercises are from Stock and Watson.
Question 1:
Females are shorter and weigh less th
University of California, Santa Barbara
Olivier Deschenes
Department of Economics
Winter 2011
_
Economics 140B
Individual Assignment 4
Due in class 03/01/11
Question 1: (4 points)
Email me ([email protected]) with your 3 preferred dates for your teams
University of California, Santa Barbara
Olivier Deschenes
Department of Economics
Winter 2011
_
Economics 140B
Individual Assignment 2
Due in class 02/01/11
These questions are from Stock and Watson and from Wooldridge
Question 1 (12 points):
Earnings fun
Economics 1630: Econometrics I
Solutions to Homework 3
1
Due November 15, 2010
Problem 1 Use the data set TeachingRatings to carry out the following exercises:
a.(10 ) Estimate a regression of Course Eval on Beauty, Intro, OneCredit, Female, Minority,
and
University of California, Santa Barbara
Department of Economics
Olivier Deschenes
Winter 2011
Economics 140B
Individual Assignment 1: Answer Key
Due in class 01/20/11
Some of these exercises are from Stock and Watson.
Question 1:
Females are shorter and w
University of California, Santa Barbara
Department of Economics
Olivier Deschenes
Winter 2011
Economics 140B
Individual Assignment 4: Answer Key
Due in class 03/01/11
Question 2:
This question will ask you to investigate the impact of fertility on the lab
University of California, Santa Barbara
Department of Economics
Olivier Deschenes
Winter 2011
Economics 140B
Individual Assignment 1: Answer Key
Due in class 02/01/11
These questions are from Stock and Watson and from Wooldridge
Question 1 (12 points):
Ea
Review Questions, Part 1:
(Remember the help commandname if you are having trouble!)
1.) Your current directory is c:\My Documents\Econometrics. You just saved a file called
Homework1.dta. What is the full name of the file you just saved?
2.)
a. What is t
Introduction to Difference-in-Difference
Card (1990)
Estimating a Difference-in-Difference Regression Model
Assumptions Underlying the Difference-in-Difference Model
Results of Card (1990)
What You Should Know
Class Problems
Difference-in-Difference Notes
Introduction
Finite Sample Properties
Trends and Seasonality
Types of Time Series
Stationarity
Concepts To Know
Review Problems
Time Series Notes
April 13, 2016
Introduction
Finite Sample Properties
Trends and Seasonality
Types of Time Series
Stationarity
Homework 3 - Economics 140B
Spring 2016
Prof Heather Royer
Due: Wednesday, May 18th
Problem 1
Suppose that we had the following: Yt = 0 + 1 Xt + t where t = 1 t1 + 2 t2 + 3 t3 + ut where
ut are iid. How would you estimate this model? Give the exact regres
Introduction to Instrumental Variables
Understanding What Instrumental Variables Are
Implementing Instrumental Variables
Identification in the TSLS Model
An Example of Instrumental Variables
Review
Class Problems
Instrumental Variables Notes
May 8, 2016
I
Introduction
Dealing with Heteroskedasticity
Skills to Take Away
Heteroskedasticity Notes
April 10, 2016
Introduction
Dealing with Heteroskedasticity
Skills to Take Away
Outline
1
Introduction
2
Dealing with Heteroskedasticity
3
Skills to Take Away
Introd
Introduction to Dummy Variables
Three Ways to Use Dummy Variables
Multiple Category Dummy Variables
Interpreting Coefficients in a Model with Dummy Variables
Review of Dummy Variables
Practice Problems
Dummy Variables Notes
March 26, 2016
Dummy Variables
Introduction to Regression Discontinuity
Types of Regression Discontinuities
Estimating a Treatment Effect in a Regression Discontinuity Design
Scaling Treatment Effect in RD Design
Main Assumptions Needed for RD to Provide Causal Effect
Review of Regress
Homework 4 - Economics 140B
Spring 2016
Prof Heather Royer
Due: Wednesday, June 1st in class
Written Problem 1
Suppose we are interested in the effect of family size (X) on maternal labor supply (Y). We instrument
family size with twins (Z) (i.e., if you
Homework 2 - Economics 140B
Spring 2016
Prof Heather Royer
Due: April 20th in class
Problem 1
Describe whether you agree or disagree with the following statement: Seasonality is not an issue when
using annual time series data.
Problem 2
300000
Retail Sale
Economics 140B
Homework 1
Due April 6th in class (not on gauchospace)
Any homeworks handed in past 12:40pm will be considered late
1. Do the STATA tutorial and hand in the answers to the STATA tutorial questions.
Introduction to Autocorrelation
Consequences of Serial Correlation of the Error Term
First-Order Autocorrelation
Testing for Serial Correlation
Correcting for Serial Correlation
Class Problems
Autocorrelation Notes
April 19, 2016
Introduction to Autocorre
Introduction
Polynomial Regression Models
Interaction Models
Logarithmic Models
Skills You Should Have From These Notes
Review Problems
Regression Specification Notes
April 5, 2016
Introduction
Polynomial Regression Models
Interaction Models
Logarithmic M
Introduction to Panel Data
A Simple Example to Motivate the Use of Panel Data
Fixed Effects Model - More Generally
Overview of Fixed Effects Model
Practice Problems
Panel Data Notes
April 29, 2016
Introduction to Panel Data
A Simple Example to Motivate th
Econ 140B
Individual Assignment 1
1)
a) The negative intercept makes sense because peoples heights generally fall in
a certain range in inches that isnt very close to 0. Therefore that negative is
made up for once the height is entered into the regression
Econ 140B
Individual Assignment 2
1. Confirmed
2.
a. One year of additional education increases earnings by 8.3%. If you
had a strong belief that years of high school education was different
from college education, you would need data on high school and
c
Introduction to Omitted Variables Bias
The Mechanics of Omitted Variables Bias
Review of This Section
Review Questions
Omitted Variables Bias Notes
April 10, 2016
Introduction to Omitted Variables Bias
The Mechanics of Omitted Variables Bias
Review of Thi
Willy Lin Econometrics 140B Homework Assignment 1 1a. Yes, it makes sense to have a negative intercept because since the sample space is comprised of college students, the regression model is mainly concerned with heights from 5' to 6'. The negative inter
Lecture 8: Regression Analysis of Experimental
and Quasi-Experimental Data
Chapter 13 in S&W
Outline:
Analysis of experimental data
Analysis of quasi-experimental data
Impacts of heterogeneity (a bit more advanced)
Olivier Deschenes, UCSB, Econ 140B, Win