New User Special Price Expires in

Let's log you in.

Sign in with Facebook


Don't have a StudySoup account? Create one here!


Create a StudySoup account

Be part of our community, it's free to join!

Sign up with Facebook


Create your account
By creating an account you agree to StudySoup's terms and conditions and privacy policy

Already have a StudySoup account? Login here

Econometrics HW 8 solutions

by: Noah Scovill

Econometrics HW 8 solutions Econ 4400

Marketplace > Ohio State University > Economcs > Econ 4400 > Econometrics HW 8 solutions
Noah Scovill
GPA 3.25

Preview These Notes for FREE

Get a free preview of these Notes, just enter your email below.

Unlock Preview
Unlock Preview

Preview these materials now for free

Why put in your email? Get access to more of this material and other relevant free materials for your school

View Preview

About this Document

These are the solutions for the HW 8 problem set
Elementary Econometrics
Anthony Bradfield
Class Notes
25 ?




Popular in Elementary Econometrics

Popular in Economcs

This 3 page Class Notes was uploaded by Noah Scovill on Sunday March 20, 2016. The Class Notes belongs to Econ 4400 at Ohio State University taught by Anthony Bradfield in Fall 2015. Since its upload, it has received 26 views. For similar materials see Elementary Econometrics in Economcs at Ohio State University.


Reviews for Econometrics HW 8 solutions


Report this Material


What is Karma?


Karma is the currency of StudySoup.

You can buy or earn more Karma at anytime and redeem it for class notes, study guides, flashcards, and more!

Date Created: 03/20/16
Homework 8 10/21/2013 Name: _____________________________ Econ 4400-101 Due: 10/28/2013 Show all necessary work. Instructor: Anthony J. Bradfield All work should be done by hand, unless stated otherwise. 1. [4] The following is a demand equation for beef. lnQ = β + β lnPi+  ε0 wher1 lniis tie natural log, Q is the quantity of beef demanded, P is the price of beef,  and   β represents the 1rice elasticity of demand when written in this form. Previous results have shown that the demand for beef is unit elastic. a. Write out the set of hypotheses that relate to demand for beef being unit elastic. H 0 β 1 -1 H A β 1 -1 b. Suppose that you estimate this equation with the result that ???? = -0.3, which ▯s significantly different than the point in your null hypothesis. What is the likely reason this occurred? How would you go about correcting this problem (be specific)? There is likely an omitted variable. Since ???? = -0.3 > -1 = ???? , we should try to include a variable with a ▯ ▯ ▯ positive  bias.    If  we  cannot  find  one,  we  should  present  the  result  as  1 is likely less than -0.3 on average (-0.3 is an upper bound for an unbiased  estimate  of  β ). 1 c. Suppose that you now estimate the equation lnQ =  β + β lnP + β lnPC + β lnPP + β lnYD +  ε, where i 0 1 i 2 i 3 i 4 i i PC is the price of chicken, PP is the price of potatoes, and YD is disposable income. The estimate of ????▯now changes such that it is not significantly different from your null hypothesized value. Which variable(s) could have caused this change? For  PC,  chicken  and  beef  are  substitutes,  so  as  PC  increases,  you  consume  more  beef,  so  β should2be positive, and P  and  PC  are  negatively  correlated.    Since  Bias  =  β *α 2  t1is  means  that  the  bias  on  β is 1 positive, so including lnPC could cause this change. Similarly, potatoes and beef are compliments, so if PP increases, then you consume less beef (β is 3 negative), and P and PP are positively correlated; this leads to positive bias as well. Finally, if disposable income increases, then you should consume more beef (assuming it is a normal good),  so  β 4hould be positive, and disposable income and prices are positively correlated, so this also leads  to  positive  bias  in 1β . Therefore,  all  three  variables  could  be  responsible  for  the  change  in  β . 1 2. [2] Suppose you are about to estimate Cars =  β + β Price + β PriceGas + β PriceTires + β Prec +  ε. i 0 1 i 2 i 3 i 4 i i Classify each independent variable as relevant or irrelevant. Also, list one major variable that is omitted. The data comes from one observation from every state in a given year. Cars is the number of cars sold in that state and year, Price is the price of the Car, PriceGas is the average gas price, PriceTires is the price of a set of tires, and Prec is the amount of precipitation in that year. Relevant: Price, PriceGas Irrelevant: PriceTires, Prec Omitted: any of disposable income, GDP growth, the price of certain cars (SUVs, hybrids, electrics, compressed natural gas), the price of diesel fuel, etc. 3. [3] Suppose that (1) is the true equation, but you write out (2) and estimate it. Write out the relevant exogeneity condition(s) for the true equation, and show whether ???? estimated from (2) will be ▯▯ unbiased by checking if the exogeneity condition for (2) is violated. (1) Y =  i + β0X + β1 1i  ε 2 2i i (2) Y =  i + β0X + β1 1i  ε* 3 3i i E[X 1i i 0 and E[X ε] = 02i i First, β 2 2i ε = i X + 3 3i so εi = β X +i ε - β2 2i i 3 3i E[X 1i i= E[X (β X1i β 2 2i ε)]3 3i E[X i ] - β 2[X X1i 2iE[X ε]3= β 1i 3i 0*X X + 1i iβ X X2 1i 2i 1i 3i 2 1i 2i The first 0 is from X being 3irelevant,  so  β = 0, and the s3cond is an exogeneity condition from (1). Since the result is not zero, which occurs unless  β happens to be zero or X is independent of X , there 2 1i 2i is  bias  in  β . 1 4. [5] Determine the sign of the bias introduced by leaving a variable out of an equation in each of the following cases: (1)In an annual equation for corn yields per acre (in year t), the impact on the coefficient of rainfall in year t of omitting average temperature that year. (Hint: Drought and cold weather both hurt corn yields.) β 2s positive,  but  α is  1ikely  close  to  0,  so  there  may  be  a  small  amount  of  bias,  but  we  wouldn’t  know   what  direction  it  would  be  in  in  general.    (If  it  rains  more  when  it  is  cold,  then  α is negati1e, so there would be negative bias). (2)In an equation for daily attendance  at  Log  Angeles  Lakers’  home  basketball  games,  the  impact  on  the   coefficient of the winning percentage of the opponent (as of the game in question) of omitting a dummy  variable  that  equals  1  if  the  opponent’s  team  includes  a  superstar. β 2s positive, and  α is p1sitive, so there is positive bias. (3)In an equation for annual consumption of apples in the United States, the impact on the coefficient of the price of bananas of omitting the price of oranges. β2is  positive,  and  α1is positive, so there is positive bias. This is the same as in #1 since oranges and bananas are substitutes. (4)In an equation for student grades on the first midterm in this class, the impact on the coefficient of total hours studied (for the test) of omitting hours slept the night before the test. β is  positive,  and  α is negative since you must make a tradeoff with your time, so there is negative bias. 2 1 (5)In an equation for U.S. sales of a college textbook, the impact on the coefficient on price of the textbook of omitting the price of an international edition sold in other countries. β2is  positive,  and  1 is positive, so there is positive bias. These are substitutes, so the same idea holds. More specifically, if the price of an international edition goes up, the arbitrage opportunity shrinks, so less international editions will be sold in the U.S., and if there is less competition from international editions, then the quantity and price of U.S. textbooks will rise.


Buy Material

Are you sure you want to buy this material for

25 Karma

Buy Material

BOOM! Enjoy Your Free Notes!

We've added these Notes to your profile, click here to view them now.


You're already Subscribed!

Looks like you've already subscribed to StudySoup, you won't need to purchase another subscription to get this material. To access this material simply click 'View Full Document'

Why people love StudySoup

Jim McGreen Ohio University

"Knowing I can count on the Elite Notetaker in my class allows me to focus on what the professor is saying instead of just scribbling notes the whole time and falling behind."

Kyle Maynard Purdue

"When you're taking detailed notes and trying to help everyone else out in the class, it really helps you learn and understand the I made $280 on my first study guide!"

Steve Martinelli UC Los Angeles

"There's no way I would have passed my Organic Chemistry class this semester without the notes and study guides I got from StudySoup."


"Their 'Elite Notetakers' are making over $1,200/month in sales by creating high quality content that helps their classmates in a time of need."

Become an Elite Notetaker and start selling your notes online!

Refund Policy


All subscriptions to StudySoup are paid in full at the time of subscribing. To change your credit card information or to cancel your subscription, go to "Edit Settings". All credit card information will be available there. If you should decide to cancel your subscription, it will continue to be valid until the next payment period, as all payments for the current period were made in advance. For special circumstances, please email


StudySoup has more than 1 million course-specific study resources to help students study smarter. If you’re having trouble finding what you’re looking for, our customer support team can help you find what you need! Feel free to contact them here:

Recurring Subscriptions: If you have canceled your recurring subscription on the day of renewal and have not downloaded any documents, you may request a refund by submitting an email to

Satisfaction Guarantee: If you’re not satisfied with your subscription, you can contact us for further help. Contact must be made within 3 business days of your subscription purchase and your refund request will be subject for review.

Please Note: Refunds can never be provided more than 30 days after the initial purchase date regardless of your activity on the site.