# ECON 5420 Study Guide - Final Guide: Instrumental Variable, Econometrics, Statistical InferenceExam

by OC2592213

School

Ohio State UniversityDepartment

EconomicsCourse Code

ECON 5420Professor

Ryan RuddyStudy Guide

FinalThis

**preview**shows pages 1-2. to view the full**8 pages of the document.**Exam 2, Version 1 Econ 5420, Econometrics II, Spring 2016

Section: Name:

1 Multiple Choice

Choose the answer that best answers the question. Each question is worth 3 points.

Answers must be clearly written on the supplied answer sheet.

1. If I estimate the equation W ageit =β0+β1xit +αf+it, where αfis a family

ﬁxed eﬀect, what x variable cannot be included.

(a) mother’s education

(b) education

(c) age

(d) None of the above

2. What problem can be caused by a weak ﬁrst stage in an IV regression?

(a) The exclusion restriction is violated.

(b) The order condition is violated.

(c) Statistical inference based on t-stats is misleading.

(d) The IV estimates are biased.

3. Suppose we estimate the DD equation yit =β0+β1T reati+β2Aftert+β3T reat ∗

Afterit +it. Which represents ¯yfor the treated group before treatment?

(a) β3

(b) β2+β3

(c) β1+β2+β3

(d) β0+β1+ +β2+β3

4. Which best describes the order condition for instrumental variables?

(a) We must have at least as many instruments as endogenous variables.

(b) Instruments must not be correlated with the structural error.

(c) There must be a strong ﬁrst stage.

(d) Endgoenous variables must not be correlated with the error term.

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5. Which scenarios(s) apply if the parallel trend assumption is violated in a diﬀerence

in diﬀerences estimation?

(a) The DD estimator is still unbiased.

(b) We could ﬁnd that treatment has zero eﬀect when there actually is an eﬀect.

(c) We could ﬁnd that treatment has an eﬀect when there actually is not an

eﬀect.

(d) B & C.

6. Which of the following types of variables cannot be included in a ﬁxed eﬀects

model?

(a) Discrete dependent variable

(b) Time-varying independent variable

(c) Time-constant independent variable

(d) Dummy variables of any type

7. Let year2011 be a dummy variable equal to one in 2011. Suppose we have data

from 2011 and 2012. If we estimate the equation wageit =β0+β1year2011t+

β2educationit +β3year2011 ∗educationit +eit, what does ˆ

β3tell us?

(a) The returns to eduction in 2011

(b) The diﬀerence between returns to education in 2011 and 2012

(c) The diﬀerence in wages in 2011 relative to 2012

(d) The returns to education

8. Which of the following statements is true about probits:

(a) ˆ

βis the increase in p(y= 1) for a marginal increase in x

(b) Predicted probabilities can be negative.

(c) ˆ

βis estimated through OLS.

(d) The error term is assumed to follow a normal distribution.

9. Suppose we have data on wage and education where wage has been censored at

$30 per hour and education positively aﬀects wages. If ˆ

βrepresents the estimated

returns to education with OLS and ˆαestimates the estimated returns of education

with a censored regression model, which is true?

(a) ˆ

β= ˆα

(b) ˆ

β < ˆα

(c) ˆ

β > ˆα

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10. Which of the following assumptions is required to obtain a ﬁrst-diﬀerenced esti-

mator in a two-period panel data analysis?

(a) The explanatory variable does not change over time for any individuals.

(b) The explanatory variable changes by the same amount in each time period.

(c) The variance of the error term in the regression model is not constant.

(d) The explanatory variable changes over time for some individuals.

11. Suppose I want to estimate the equation yi=β0+β1x1i+β2x2i+β3x3ii, but

x1iis endogenous. What is required for a consistent IV estimation using zias an

instrument?

(a) Cov(i, zi) = 0

(b) Cov(i, x2i)=0

(c) Cov(x1i, zi)6= 0

(d) All of the above

12. Which is true of a balanced panel?

(a) Each individual is surveyed every year .

(b) Each year a new set of individuals are surveyed.

(c) There are the same number of time periods as individuals.

(d) All of the above.

13. The model is designed to model corner solution dependent vari-

ables.

(a) linear probability

(b) logit

(c) probit

(d) Tobit

14. Bias caused by individuals leaving a panel.

(a) Attrition bias

(b) Omitted Variable bias

(c) Misspeciﬁcation bias

(d) None of the above

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