ProblemSet1

# ProblemSet1 - Professor Mumford Econ 360 Fall 2010...

This preview shows pages 1–3. Sign up to view the full content.

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: Professor Mumford Econ 360 - Fall 2010 [email protected] Problem Set 1 Due at the beginning of class on Tuesday, August 31 True/False (20 points) Please write the entire word. No explanations are required. 1. If { a 1 ,a 2 ,...,a n } are constants and { X 1 ,X 2 ,...,X n } are random variables then: E n X i =1 a i X i ! = n X i =1 a i E ( X i ) 2. For a random variable X , let μ = E ( X ). The variance of X can be expressed as: V ar ( X ) = (E ( X )) 2- μ 2 3. An estimator, W , of θ is an unbiased estimator if E ( W ) = θ for all possible values of θ . 4. The central limit theorem states that the average from a random sample for any pop- ulation (with finite variance) has an asymptotic standard normal distribution. 5. Inferring causality is only possible if a researcher conducts an appropriate experiment. 1 Multiple Choice Questions (20 points) 6. The idea of holding “all else equal” is known as (a) ceteris paribus (b) correlation (c) causal effect (d) independence 7. If our dataset has one observation for every state for the year 2000, then our dataset is7....
View Full Document

{[ snackBarMessage ]}

### Page1 / 4

ProblemSet1 - Professor Mumford Econ 360 Fall 2010...

This preview shows document pages 1 - 3. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online