Question 1

Which of the following statements is true?

Accepted Answer

A) The average of an exponential time series is a linear function of time. 
B) The average of a linear sequence is an exponential function of time. 
C)  When a series has the same average growth rate from period to period, it can be approximated with an exponential trend. 
D)  When a series has the same average growth rate from period to period, it can be approximated with a linear trend. 
A) The average of an exponential time series is a linear function of time. 
B) The average of a linear sequence is an exponential function of time. 
C)  When a series has the same average growth rate from period to period, it can be approximated with an exponential trend. 
D)  When a series has the same average growth rate from period to period, it can be approximated with a linear trend.

Question 2

The short-run elasticity measures the immediate percentage change in a dependent variable given a 1% increase in the independent variables.​

Accepted Answer

A) True 
 B)False

Question 3

A study which observes whether a particular occurrence influences some outcome is referred to as a(n):

Accepted Answer

A) event study. 
B) exponential study. 
C)  laboratory study. 
D)  comparative study. 
A) event study. 
B) exponential study. 
C)  laboratory study. 
D)  comparative study.

Question 4

The propensity δ0 + δ1+ … + δk is sometimes called the:​

Accepted Answer

A) ​short-run elasticity, which measures the percentage increase in a dependent variable after k quarters given a permanent 1% increase in the k independent variables. 
B) ​long-run elasticity, which measures the percentage increase in a dependent variable after k quarters given a permanent 1% increase in the k independent variables. 
C)  ​short-run elasticity, which measures the percentage decrease in a dependent variable after k quarters given a permanent 1% decrease in the k independent variables. 
D)  ​​long-run elasticity, which measures the percentage decrease in a dependent variable after k quarters given a permanent 1% decrease in the k independent variables. 
A) ​short-run elasticity, which measures the percentage increase in a dependent variable after k quarters given a permanent 1% increase in the k independent variables. 
B) ​long-run elasticity, which measures the percentage increase in a dependent variable after k quarters given a permanent 1% increase in the k independent variables. 
C)  ​short-run elasticity, which measures the percentage decrease in a dependent variable after k quarters given a permanent 1% decrease in the k independent variables. 
D)  ​​long-run elasticity, which measures the percentage decrease in a dependent variable after k quarters given a permanent 1% decrease in the k independent variables.

Which of the following statements is true?

The short-run elasticity measures the immediate percentage change in a dependent variable given a 1% increase in the independent variables.

A study which observes whether a particular occurrence influences some outcome is referred to as a(n):

The propensity δ₀ + δ₁+ … + δ_k is sometimes called the:

The Nature of Econometrics and Economic Data

The Simple Regression Model

Multiple Regression Analysis: Estimation

Multiple Regression Analysis: Inference

Multiple Regression Analysis: Ols Asymptotics

Multiple Regression Analysis: Further Issues

Multiple Regression Analysis With Qualitative Information: Binary or Dummy Variables

Heteroskedasticity

More on Specification and Data Problems

Further Issues in Using Ols With Time Series Data

Serial Correlation and Heteroskedasticity in Time Series Regressions

Pooling Cross Sections Across Time: Simple Panel Data Methods

Advanced Panel Data Methods

Instrumental Variables Estimation and Two Stage Least Squares

Simultaneous Equations Models

Limited Dependent Variable Models and Sample Selection Corrections

Advanced Time Series Topics

Carrying Out an Empirical Project

Filters

Exam 10: Basic Regression Analysis With Time Series Data

Which of the following statements is true?

The short-run elasticity measures the immediate percentage change in a dependent variable given a 1% increase in the independent variables.​

A study which observes whether a particular occurrence influences some outcome is referred to as a(n):

The propensity δ0 + δ1+ … + δk is sometimes called the:​

The Nature of Econometrics and Economic Data

The Simple Regression Model

Multiple Regression Analysis: Estimation

Multiple Regression Analysis: Inference

Multiple Regression Analysis: Ols Asymptotics

Multiple Regression Analysis: Further Issues

Multiple Regression Analysis With Qualitative Information: Binary or Dummy Variables

Heteroskedasticity

More on Specification and Data Problems

Further Issues in Using Ols With Time Series Data

Serial Correlation and Heteroskedasticity in Time Series Regressions

Pooling Cross Sections Across Time: Simple Panel Data Methods

Advanced Panel Data Methods

Instrumental Variables Estimation and Two Stage Least Squares

Simultaneous Equations Models

Limited Dependent Variable Models and Sample Selection Corrections

Advanced Time Series Topics

Carrying Out an Empirical Project

Filters

The short-run elasticity measures the immediate percentage change in a dependent variable given a 1% increase in the independent variables.

The propensity δ₀ + δ₁+ … + δ_k is sometimes called the: