Question 1

Please compare the benefits of using 2SLS and ITT approaches to deal with non-compliance.

Accepted Answer

The answer of Please compare the benefits of using 2SLS...

Question 2

Give the probability limit equations for OLS and 2SLS, and explain the scenario where 2SLS should be used instead of OLS when we have an imperfect instrument (either weak or quasi)

Accepted Answer

The answer of Give the probability limit equations for OLS...

Question 3

Describe the general steps that are undertaken when performing a randomized experiment.

Accepted Answer

The answer of Describe the general steps that are undertaken...

Question 4

If we use a quasi instrument for to estimate a 2SLS, than the probability limit for the 2SLS estimate of B1^ is: (Note s=standard deviation)

Accepted Answer

A)  plimB1^=B1+(corr(X,e)/corr(Z, e) )*($\sigma$e/$\sigma$X1) 
B)  plimB1^=B1+(corr(Z,e)/corr(Z, X))*($\sigma$e/$\sigma$X1) 
C)  plimB1^=B1+(corr(Z,e)/corr(X, e) )*($\sigma$e/$\sigma$X1) 
D)  plimB1^=B1+(corr(Z,e)/corr(Z, Y))*( $\sigma$e/$\sigma$X1) 
A)  plimB1^=B1+(corr(X,e)/corr(Z, e) )*($\sigma$e/$\sigma$X1) 
B)  plimB1^=B1+(corr(Z,e)/corr(Z, X))*($\sigma$e/$\sigma$X1) 
C)  plimB1^=B1+(corr(Z,e)/corr(X, e) )*($\sigma$e/$\sigma$X1) 
D)  plimB1^=B1+(corr(Z,e)/corr(Z, Y))*( $\sigma$e/$\sigma$X1)

Question 5

Given the model
Crimeit=B0+B1Policei,t+eit
Which one of the following variables do you think would satisfy the exclusion condition?

Accepted Answer

A)  The number of guns in the city 
B)  The wealth of the city 
C)  The population density of the city 
D)  The number of candy stores in the city 
A)  The number of guns in the city 
B)  The wealth of the city 
C)  The population density of the city 
D)  The number of candy stores in the city

Question 6

To conduct an overidentification test we run 2SLS models separately for each instrumental variable.

Accepted Answer

A) True 
 B)False

Please compare the benefits of using 2SLS and ITT approaches to deal with non-compliance.

Give the probability limit equations for OLS and 2SLS, and explain the scenario where 2SLS should be used instead of OLS when we have an imperfect instrument (either weak or quasi)

Describe the general steps that are undertaken when performing a randomized experiment.

If we use a quasi instrument for to estimate a 2SLS, than the probability limit for the 2SLS estimate of B1^ is: (Note s=standard deviation)

Given the model Crime_it=B₀+B₁Police_i,t+e_it Which one of the following variables do you think would satisfy the exclusion condition?

To conduct an overidentification test we run 2SLS models separately for each instrumental variable.

The Quest for Causality

Stats in the Wild: Good Data Practices

Bivariate Ols: the Foundation of Econometric Analysis

Hypothesis Testing and Interval Estimation: Answering Research Questions

Multivariate Ols: Where the Action Is

Dummy Variables: Smarter Than You Think

Specifying Models

Using Fixed Effects to Fight Endogeneity in Panel Data and Difference-In-Difference Models

Experiments: Dealing With Real-World Challenges

Regression Discontinuity: Looking for Jumps in Data

Dummy Dependent Variables

Time Series: Dealing With Stickiness Over Time

Advanced Ols

Advanced Panel Data

Filters

Exam 9: Instrumental Variables: Using Exogenous Variation to Fight Endogeneity

Please compare the benefits of using 2SLS and ITT approaches to deal with non-compliance.

Give the probability limit equations for OLS and 2SLS, and explain the scenario where 2SLS should be used instead of OLS when we have an imperfect instrument (either weak or quasi)

Describe the general steps that are undertaken when performing a randomized experiment.

If we use a quasi instrument for to estimate a 2SLS, than the probability limit for the 2SLS estimate of B1^ is: (Note s=standard deviation)

Given the model Crimeit=B0+B1Policei,t+eit Which one of the following variables do you think would satisfy the exclusion condition?

To conduct an overidentification test we run 2SLS models separately for each instrumental variable.

The Quest for Causality

Stats in the Wild: Good Data Practices

Bivariate Ols: the Foundation of Econometric Analysis

Hypothesis Testing and Interval Estimation: Answering Research Questions

Multivariate Ols: Where the Action Is

Dummy Variables: Smarter Than You Think

Specifying Models

Using Fixed Effects to Fight Endogeneity in Panel Data and Difference-In-Difference Models

Experiments: Dealing With Real-World Challenges

Regression Discontinuity: Looking for Jumps in Data

Dummy Dependent Variables

Time Series: Dealing With Stickiness Over Time

Advanced Ols

Advanced Panel Data

Filters

Given the model Crime_it=B₀+B₁Police_i,t+e_it Which one of the following variables do you think would satisfy the exclusion condition?