Question 1

Historical data sets are available only in printed form.

Accepted Answer

A) True 
 B)False

Question 2

​The main assumption of OLS for any model is:

Accepted Answer

A) ​to check whether the error term is uncorrelated with the response variable. 
B) ​to check whether the error term is correlated with the explanatory variables. 
C)  ​to check whether the error term is uncorrelated with the explanatory variables. 
D)  to check whether the error term is correlated with the response variable. 
A) ​to check whether the error term is uncorrelated with the response variable. 
B) ​to check whether the error term is correlated with the explanatory variables. 
C)  ​to check whether the error term is uncorrelated with the explanatory variables. 
D)  to check whether the error term is correlated with the response variable.

Question 3

Which of the following statements is true?

Accepted Answer

A) Graphs should be avoided while introducing a research paper's topic. 
B) The introduction to a research paper should be longer than the conclusion to the research paper. 
C)  The summary of a research paper can be presented in the introduction of a research paper. 
D)  Statistics should be avoided in introductions for research papers. 
A) Graphs should be avoided while introducing a research paper's topic. 
B) The introduction to a research paper should be longer than the conclusion to the research paper. 
C)  The summary of a research paper can be presented in the introduction of a research paper. 
D)  Statistics should be avoided in introductions for research papers.

Question 4

A good research question should not be backed by time series data.

Accepted Answer

A) True 
 B)False

Question 5

Which of the following statements is true of an appropriate data set?

Accepted Answer

A) An appropriate data set should be collected from government registered websites. 
B) An appropriate data set should have enough controls to do a reasonable ceteris paribus analysis. 
C)  An appropriate data set should not have time series units. 
D)  An appropriate data set should not be based on surveys. 
A) An appropriate data set should be collected from government registered websites. 
B) An appropriate data set should have enough controls to do a reasonable ceteris paribus analysis. 
C)  An appropriate data set should not have time series units. 
D)  An appropriate data set should not be based on surveys.

Historical data sets are available only in printed form.

The main assumption of OLS for any model is:

Which of the following statements is true?

A good research question should not be backed by time series data.

Which of the following statements is true of an appropriate data set?

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

Basic Regression Analysis With Time Series Data

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

Filters

Exam 19: Carrying Out an Empirical Project

Historical data sets are available only in printed form.

​The main assumption of OLS for any model is:

Which of the following statements is true?

A good research question should not be backed by time series data.

Which of the following statements is true of an appropriate data set?

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

Basic Regression Analysis With Time Series Data

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

Filters

The main assumption of OLS for any model is: